Dr. Chaosai Liu | Technology Applications | Best Researcher Award

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Dr. Chaosai Liu | Technology Applications | Best Researcher Award

Dr. Chaosai Liu | Henan University of Technology | China

Liu Chaosai is a distinguished researcher from Henan University of Technology, specializing in grain storage safety theory and its applications. With a long-term commitment to improving maize storage techniques, he has contributed to numerous national and provincial projects, including the National Grain Public Welfare Research Project and Key R&D projects in Henan Province. His research has been instrumental in advancing our understanding of heat, moisture transfer, and fungal growth in stored grains, particularly maize. Liu has published over 20 academic papers and holds six authorized patents. He has earned recognition from both the Henan Provincial Department of Education and the China Grain and Oil Society. 🌾📚🏅

Professional Profile:

ORCID

Suitability for the Best Researcher Award

Liu Chaosai is certainly a strong candidate for the Best Researcher Award based on his significant contributions to the field of grain storage safety. His work at Henan University of Technology has been pivotal in advancing storage techniques for maize, an essential staple crop. Liu’s research has made substantial strides in understanding and mitigating the challenges of grain storage, particularly maize. His focus on heat, moisture transfer, and fungal growth has directly influenced the improvement of storage methods that ensure food security and reduce waste. Liu’s involvement in national and provincial projects, such as the National Grain Public Welfare Research Project and Key R&D projects in Henan Province, further highlights his dedication to advancing the field.

Education & Experience

  • Henan University of Technology – College of Civil Engineering, Ph.D. in Engineering 🔬🎓
  • Henan Key Laboratory of Grain Storage Facility and Safety – Researcher 🔍
  • Academy of National Food and Strategic Reservation Administration – Collaborator 🔄
  • National Grain Public Welfare Research Project of China – Project participant 📊

Professional Development

Liu has developed a strong portfolio of research in grain storage, focusing on heat and moisture transfer, fungal growth, and the implications of kernel breakage in maize. His professional growth is marked by consistent contributions to national and provincial projects, publication of over 20 papers, and securing six patents in the field of grain storage safety. He has also gained significant practical experience by engaging in simulation systems and experimental research to improve storage methods for maize. His professional development continues to shape innovations in the agricultural sector. 🧑‍🔬💼📈

Research Focus

Liu’s research primarily revolves around the study of grain storage safety, with particular attention to maize. He focuses on understanding the effects of temperature, moisture content, and fungal activity on stored grain. A significant part of his work includes studying how kernel breakage impacts heat and moisture distribution, leading to potential storage risks. His research includes developing models to predict temperature changes and fungal growth in maize bulk. By advancing grain storage techniques, Liu aims to minimize post-harvest losses and ensure the safe storage of grains. 🌾🧬🔥

Awards & Honors

  • Second Prize – Henan Provincial Department of Education 🏅
  • Third Prize – China Grain and Oil Society 🥉
  • 6 Patents – Authorized Invention Patents 🔐
  • 20+ Academic Papers – Published in leading journals 📖

Publication Top Notes:

  • 🌾 Analysis of Heat and Moisture Transfer and Fungi-Induced Hot Spots in Maize Bulk with Different Broken Kernel Contents – Agriculture
  • 🏗️ Numerical Simulation of Backfilling Construction for Underground Reinforced Concrete Grain Silos – Buildings
  • 🌾 Element Tests and Simulation of Effects of Vertical Pressure on Compression and Mildew of Wheat – Computers and Electronics in Agriculture
  • 📊 A Scientometric Review of Grain Storage Technology in the Past 15 Years (2007–2022) Based on Knowledge Graph and Visualization – Foods
  • 🏗️ Visualization Analysis of Cross Research Between Big Data and Construction Industry Based on Knowledge Graph – Buildings

 

 

 

Dr. Chinenye Azuka | Technology | Best Researcher Award

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Dr. Chinenye Azuka | Technology | Best Researcher Award

Dr. Chinenye Azuka, University of Nigeria Nsukka, Nigeria 

Dr. Chinenye Azuka is a dedicated researcher and academic specializing in food science and technology. She earned her Ph.D. from the University of Nigeria, focusing on functional food development from germinated brown rice and pigeon pea for diabetes management. Currently serving as Lecturer I at the University of Nigeria, Nsukka, she has extensive experience in teaching and mentoring students in food safety, food engineering, and cereal technology. Her research revolves around processing and product development of functional foods, with expertise in enzymatic activity, polyphenol extraction, and food processing techniques. Dr. Azuka is also skilled in hands-on instrumentation, experimental design, and academic writing. She has received several prestigious awards, including the Tertiary Education Trust Fund (TETFund) award for research excellence. With a strong passion for innovation in food science, she continues to make significant contributions to academia and the industry through her research, publications, and teaching excellence.

Professional Profile:

Orcid
Google Scholar

🏆 Suitability for Best Researcher Award 

Dr. Chinenye Azuka is an outstanding candidate for the Best Researcher Award due to her exceptional contributions to food science research, particularly in functional food development. Her Ph.D. research on germinated brown rice and pigeon pea extrudates for diabetes intervention demonstrates a strong commitment to addressing global health challenges through food technology. With extensive experience in designing and conducting experiments, enzyme activity evaluation, and food processing techniques, she has pioneered innovative methodologies in her field. Dr. Azuka’s expertise in UHPLC/HPLC instrumentation, response surface methodology, and solid-phase extraction further underscores her technical prowess. Additionally, her teaching and mentoring roles have shaped numerous students in the field of food science. Her research excellence has been recognized through prestigious awards like the TETFund Research Excellence Award. With her strong academic record, impactful research, and commitment to scientific advancement, Dr. Azuka is highly deserving of this award.

🎓 Education 

Dr. Chinenye Azuka holds a Ph.D. in Food Science and Technology from the University of Nigeria, where she conducted pioneering research on developing functional foods for diabetes management using germinated brown rice and pigeon pea. Her research focused on malting, formulation, polyphenol extraction, enzyme inhibition, and physicochemical analysis of extrudates. She was supervised by renowned scholars, including Prof. G. I. Okafor, Dr. Christine Bosch, and Dr. Lisa Marshall. Prior to her doctoral studies, she earned a Bachelor’s degree in Food Science, demonstrating excellence in food processing techniques and food safety. Her strong academic background has equipped her with expertise in food engineering, product development, and analytical techniques. Through her education, she has developed a profound understanding of food technology, functional food innovation, and dietary interventions for metabolic diseases, making her a significant contributor to the field of food science and technology.

📚 Experience

Dr. Chinenye Azuka is a seasoned academic and researcher with extensive experience in food science and technology. Currently, she serves as Lecturer I at the University of Nigeria, Nsukka, where she teaches undergraduate and postgraduate courses in food safety, cereal technology, food engineering, and processing techniques. She has also supervised numerous students in their research projects and dissertation presentations. Prior to her current role, she worked as Lecturer II, where she played a crucial role in curriculum development, student mentoring, and research supervision. Additionally, she has administrative experience as a Faculty ICT Representative and Treasurer for the Local Committee of the Nigerian Institute of Food Science and Technology. Her expertise in hands-on laboratory research, experimental design, and food processing techniques has made her an influential figure in academia. Dr. Azuka’s dedication to teaching, research, and administration highlights her excellence in both academic and scientific leadership.

🏅 Awards and Honors 

Dr. Chinenye Azuka’s remarkable research contributions have been recognized through multiple awards and honors. She received the prestigious Tertiary Education Trust Fund (TETFund) Nigeria Award in 2022 for research excellence and staff development, highlighting her outstanding work in food science. In 2008, she was honored with the Tantalizers Undergraduate Excellence Award, recognizing her academic brilliance and innovative research approach. Additionally, she has earned professional certifications, including Quality Management for Operational Excellence (2023) and UK Foundations in Teaching (2023), further demonstrating her commitment to academic and professional development. Her leadership roles, including serving as Treasurer of the Local Committee of the Nigerian Institute of Food Science and Technology (UNN Chapter), underscore her contributions to the academic community. These awards and recognitions affirm her dedication, expertise, and impactful research in food science, making her a leading figure in functional food technology and nutritional science.

🔬 Research Focus

Dr. Chinenye Azuka’s research primarily focuses on functional food development and processing for disease prevention and management. Her work explores nutritional interventions for metabolic diseases, particularly diabetes, through innovative food processing techniques. She specializes in extrusion technology, enzyme inhibition studies, polyphenol extraction, and food formulation using response surface methodology. Her research also involves physicochemical characterization of food products, ensuring optimal nutritional benefits. She has conducted extensive studies on germinated brown rice and pigeon pea-based extrudates, evaluating their alpha-glucosidase and amylase enzyme inhibition properties for diabetes management. Additionally, she applies advanced analytical techniques, including UHPLC/HPLC, scanning electron microscopy, and textural analysis, to assess food quality and functionality. Dr. Azuka’s groundbreaking work bridges the gap between food technology and healthcare, contributing to nutritional science, food safety, and functional food innovations. Her research continues to impact food industry advancements and global health initiatives.

Publication Top Notes:

  • Title: Micronutrients, antinutrients composition and sensory properties of extruded snacks made from sorghum and charamenya flour blends
    • Cited by: 14
    • Year: 2020
  • Title: Physical properties of parboiled milled local rice varieties marketed in South-East Nigeria
    • Cited by: 8
    • Year: 2021
  • Title: Cooking and functional properties of parboiled milled local rice marketed in the south-east zone of Nigeria
    • Cited by: 3
    • Year: 2020
  • Title: Evaluation of the chemical composition and sensory quality of parboiled local and imported milled rice varieties marketed in south-east zone of Nigeria
    • Cited by: 2
    • Year: 2019
  • Title: Evaluation of wheat-pigeon pea flour blends for noodle production in Nigeria
    • Cited by: 1
    • Year: 2022

 

Dr. Rebakah Geddam | Computer Interface Awards | Best Researcher Award

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Dr. Rebakah Geddam | Computer Interface Awards | Best Researcher Award

Dr. Rebakah Geddam  , Nirma University , India

Rebakah Geddam is an accomplished educator and researcher specializing in Cognitive Neuroscience and Computational Neuro-informatics Models at Nirma University. With over a decade of teaching experience, she previously served as Assistant Professor at LDRP Institute of Technology and Research for nearly 11 years. Rebakah holds a Ph.D. in Computer Applications from the School of Doctoral Research and Innovation at GLS University, focusing on Brain Computer Interfaces for enhancing cognitive performance. Her expertise spans Embedded Systems, Internet of Things (IoT), Augmented Reality, Robotics, Machine Learning, and Cognitive Behavioral Sciences. Rebakah is recognized for her leadership in establishing robotics labs and organizing workshops, contributing significantly to the field of educational technology

Professional Profile:

Scopus

🎓Education:

Rebakah Geddam has pursued a distinguished academic journey, culminating in a Ph.D. in Computer Applications from the School of Doctoral Research and Innovation at GLS University, where her research focused on developing a model to analyze signals from Brain Computer Interfaces for obtaining Neuro-Feedback. Prior to her doctoral studies, she completed an M.Tech in Information Technology at KSOU, specializing in IT. Rebakah’s foundational education includes a B.Tech in Computer Science from JNTU, Hyderabad, alongside her secondary education comprising 12th Grade (IBSE) and 10th Grade (ICSE), which laid the groundwork for her subsequent achievements in the fields of Cognitive Neuroscience, Computational Neuro-informatics Models, Embedded Systems, Internet of Things (IoT), Augmented Reality, Robotics, Machine Learning, and Cognitive Behavioral Sciences.

🏢Work Experience:

Rebakah Geddam brings extensive experience and expertise to her role as an educator and researcher. She currently serves as an Assistant Professor at Nirma University, a position she has held since September 2021. Prior to this, Rebakah spent over a decade at LDRP Institute of Technology and Research, where she excelled as an Assistant Professor from May 2010 to September 2021, accumulating nearly 11 years of teaching experience. Her academic journey began earlier as a Lecturer at the same institute from October 2007 to May 2010. Before transitioning to academia, Rebakah contributed significantly as a Placement Officer at the Indian Institute of Hardware Technology (IIHT) from August 2003 to September 2007, gaining valuable experience over a span of 4 years and 2 months. Her diverse roles have enriched her understanding of educational dynamics and underscored her commitment to fostering learning and innovation in the field of computer science and cognitive sciences.

🏆Awards and Recognitions:

Rebakah Geddam has also distinguished herself through various leadership roles and achievements in educational technology and innovation. She secured a significant grant of 2 Lac for establishing an AI mirror with embedded applications at KSV, showcasing her strategic vision and commitment to advancing technological infrastructure. As the leader of E-Yantra at IIT-Bombay, Rebakah played a pivotal role in establishing a Robotics Lab, contributing to hands-on learning and research in robotics. Additionally, she has served as an organizer and resource person for workshops that not only imparted knowledge but also generated substantial internal revenue, highlighting her proactive approach and impactful contributions to the academic community. Her initiatives underscore her dedication to enhancing educational environments through cutting-edge technology and practical learning experiences

Publication Top Notes:

  • Article: Revolutionizing healthcare: IoMT-enabled digital enhancement via multimodal ADL data fusion
    • Authors: H. Ghayvat, M. Awais, R. Geddam, P. Tiwari, W. Löwe
  • Article: AiCarePWP: Deep learning-based novel research for Freezing of Gait forecasting in Parkinson
    • Authors: H. Ghayvat, M. Awais, R. Geddam, G. Fortino, K. Dev
  • Article: Fusion of linear and non-linear dimensionality reduction techniques for feature reduction in LSTM-based Intrusion Detection System
    • Authors: A. Thakkar, N. Kikani, R. Geddam
  • Article in Press: Digitally Enhanced Home to the Village: AIoMT-Enabled Multi-Source Data Fusion and Power-Efficient Sustainable Computing
    • Authors: H. Ghayvat, M. Awais, R. Geddam, L. Nkenyereye, K. Dev
  • Conference Paper: Enhanced Pothole Detection Using YOLOv5 and Federated Learning
    • Authors: A. Singh, A. Mehta, A.A. Padaria, R. Geddam, S. Tanwar

 

 

Mr. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

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Mr. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

Mr. Jamin Rahman Jim, Advanced Machine Intelligence Research Lab – AMIR Lab, Bangladesh

Jamin Rahman Jim, an accomplished researcher hailing from Dhaka, Bangladesh, specializes in machine intelligence and deep learning applications. With a Bachelor of Science in Computer Science and Engineering from the American International University-Bangladesh, where he graduated with high honors and received prestigious academic scholarships, Jim has contributed significantly to the field through his work at leading research institutions like the Advanced Machine Intelligence Research Lab (AMIR Lab) and Deepchain Labs. His publications in esteemed journals such as IEEE Access and Natural Language Processing Journal showcase his expertise in areas ranging from trustworthy metaverse development to sentiment analysis and medical image segmentation. Notably, he received the Research Award 2023 from AMIR Lab and an Academic Research Grant from the Competitive Research Fund of The University of Aizu, Japan. With a keen focus on leveraging machine learning and deep learning for cybersecurity, medical imaging, and autonomous vehicle navigation, Jim’s contributions continue to shape the forefront of technological innovation.

Professional Profile:

Google Scholar

📚 Education:

Jamin Rahman Jim pursued his Bachelor of Science in Computer Science and Engineering, specializing in Information Systems, at American International University-Bangladesh from January 2020 to June 2023. Throughout his academic journey, he demonstrated exceptional dedication and achieved a final grade of 3.96 out of 4.00. His thesis, titled “Assessing Personalized Federated Learning Algorithms for Pattern Recognition Tasks,” showcased his expertise in the field. This comprehensive program equipped him with a solid foundation in computer science principles and practical skills necessary for his subsequent career in research and development.

📅 Work Experience:

Jamin Rahman Jim has been actively engaged in the research field, contributing significantly to the advancement of machine intelligence. He began his journey as a Research Assistant at Deepchain Labs in Dhaka, Bangladesh, from December 2022 to April 2023, where he laid the groundwork for his research career. Building on this experience, he transitioned to the role of Research Assistant at the Advanced Machine Intelligence Research Lab (AMIR Lab) in Dhaka, Bangladesh, from May 2023 to January 2024. During this period, he honed his skills and expanded his knowledge in the domain of machine intelligence. Currently, he holds the position of Researcher at AMIR Lab, commencing in February 2024, where he continues to make significant contributions to cutting-edge research projects. His tenure at AMIR Lab reflects his dedication to pushing the boundaries of machine intelligence and furthering the understanding of this dynamic field.

🏅 Honours and Awards:

Jamin Rahman Jim’s academic journey at the American International University-Bangladesh was marked by outstanding achievements and recognition. He received the prestigious Academic Merit Scholarship, a testament to his consistent excellence throughout his Bachelor’s degree program. Furthermore, his exemplary academic performance earned him a place on the Dean’s List Honors and the distinguished title of Summa Cum Laude, affirming his exceptional capabilities and dedication to academic excellence.

Publication Top Notes:

  1. Towards Trustworthy Metaverse: Advancements and Challenges
    • Authors: JR Jim, MT Hosain, MF Mridha, MM Kabir, J Shin
    • Published in: IEEE Access (2023)
    • Cited by: 7
  2. Recent Advancements and Challenges of NLP-based Sentiment Analysis: A State-of-the-Art Review
    • Authors: JR Jim, MAR Talukder, P Malakar, MM Kabir, K Nur, MF Mridha
    • Published in: Natural Language Processing Journal (2024)
    • Cited by: 1
  3. Explainable AI Approaches in Deep Learning: Advancements, Applications and Challenges
    • Authors: MT Hosain, JR Jim, MF Mridha, MM Kabir
    • Published in: Computers and Electrical Engineering (2024)
  4. Deep Learning for Medical Image Segmentation: State-of-the-Art Advancements and Challenges
    • Authors: ME Rayed, SMS Islam, SI Niha, JR Jim, MM Kabir, MF Mridha
    • Published in: Informatics in Medicine Unlocked (2024)
  5. TeaLeafAgeQuality: Age-Stratified Tea Leaf Quality Classification Dataset
    • Authors: MM Kabir, MS Hafiz, S Bandyopadhyaa, JR Jim, MF Mridha
    • Published in: Data in Brief (2024)

 

 

 

 

Dr. Haider Ali | Network Communication Awards | Excellence in Research

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Dr. Haider Ali | Network Communication Awards | Excellence in Research

Dr. Haider Ali, University of Derby, United Kingdom

Haider Ali is a seasoned professional with over a decade of experience in research and teaching across esteemed institutions such as the University of Derby (UK), Qatar University (Qatar), and COMSATS University (Pakistan). Holding a Ph.D. in Computing, his expertise spans areas including computing systems, networks, cybersecurity, embedded systems, and algorithms design. He has authored numerous research papers and secured two best paper awards. As a lecturer at the University of Derby, Haider actively contributes to curriculum development, supervises undergraduate and postgraduate projects, and engages in research collaborations both locally and internationally. Additionally, he has held various teaching and research positions, further enriching his academic and professional portfolio.

Professional Profile:

Google Scholar

📚 Education:

Haider Ali’s academic journey encompasses a Ph.D. in Computing from the University of Derby, UK, completed between 2017 and 2020. Prior to this, he pursued a Master of Science degree in Electronic Systems Design Engineering at Manchester Metropolitan University, UK, from 2009 to 2010. His educational foundation was laid with a Bachelor of Science in Electronics Engineering attained at the University of Engineering and Technology, Pakistan, spanning from 2004 to 2008. Haider further augmented his academic credentials with a Postgraduate Certificate in Advanced Higher Education from the University of Derby, UK, acquired between 2022 and 2023. This diverse educational background equipped him with a comprehensive understanding of computing and electronic systems, positioning him as a versatile professional capable of making significant contributions in academia and research.

💼 Experience:

Haider Ali’s career in academia has been marked by a series of impactful roles across prestigious institutions. Beginning as a Lecturer at the College of Science and Engineering, University of Derby, UK, since September 2020, he has been instrumental in delivering undergraduate and postgraduate courses, covering a wide array of subjects such as Programming Fundamentals, Embedded Systems, and Network Security. Alongside teaching responsibilities, Haider actively supervises BSc, MSc, and Ph.D. projects, playing a key role in curriculum development and fostering research collaborations. His dedication to academic leadership is further evidenced by his service as the Derby College Group Program Leader, where he ensures effective communication and collaboration among stakeholders.

🏆 Awards and Achievements:

During his time at the University of Derby, UK, Haider Ali earned recognition for his scholarly achievements, receiving the PGTA/REF Scholarship from 2017 to 2020. His research prowess was further underscored by winning Best Paper Awards at esteemed IEEE conferences, including DSS-2018 and BDCloud-2020, highlighting the significance of his contributions to the academic community. Haider’s academic journey has been characterized by a global outlook, as evidenced by his extensive research collaborations with institutions worldwide. His commitment to advancing knowledge extends to his membership in prestigious journal review committees and technical program committees, where he plays a pivotal role in shaping the discourse and direction of cutting-edge research in his field.

Publication Top Notes:

1. Novel approach to non-invasive blood glucose monitoring based on transmittance and refraction of visible laser light
Cited By: 85
Year: 2017
Journal: IEEE Access

2.ARSH-FATI: A novel metaheuristic for cluster head selection in wireless sensor networks
Cited By: 74
Year: 2020
Journal: IEEE Systems Journal

3. Human-centric cyber social computing model for hot-event detection and propagation
Cited By: 43
Year: 2019
Journal: IEEE Transactions on Computational Social Systems

4. Energy-efficient static task scheduling on VFI-based NoC-HMPSoCs for intelligent edge devices in cyber-physical systems
Cited By: 40
Year: 2019
Journal: ACM Transactions on Intelligent Systems and Technology

 

 

 

 

Dr. Adeline Nyamathi | Wireless Technology | Best Researcher Award

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Dr. Adeline Nyamathi | Wireless Technology | Best Researcher Award

Dr. Adeline Nyamathi, University of California Irvine, United States 

Dr. Adeline Nyamathi, Ph.D., is a Distinguished Professor and Founding Dean Emerita at the Sue & Bill Gross School of Nursing, where she served from 2022 to 2021 (Dec). With a background in nursing, she holds a B.S.N. from Hunter College, an M.S.N. from the State University of New York at Stony Brook, and a Ph.D. from Case Western Reserve University. Throughout her illustrious career, she has held various administrative roles, including Acting Associate Dean and Interim Dean at UCLA’s School of Nursing. Nyamathi’s research focuses on vulnerable populations, particularly those affected by HIV/AIDS and substance abuse, and she has received numerous honors, including induction into the American Academy of Nursing and the Sigma Theta Tau International Nurse Researcher Hall of Fame. She is actively engaged in professional organizations and serves as an advocate for healthcare equity. 🏥🎓🔬

🌐 Professional Profiles :

Google Scholar

Scopus

Orcid

📅 Education:

  • B.S.N., Hunter College Bellevue School of Nursing, 1973
  • M.S.N. (Adult Nurse Practitioner), State University of New York at Stony Brook, 1978
  • Ph.D. in Nursing, Case Western Reserve University, 1983

🎓 Administrative Appointments:

  • Interim Dean, UCLA School of Nursing, 2008
  • Associate Dean for Academic Affairs, UCLA School of Nursing, 1996-2008
  • Founding Dean, UCI Sue & Bill Gross School of Nursing, 2022-present

🏅 Honors and Awards:

  • AACN Leadership Training for Academic Nursing Program, 2005
  • Distinguished Alumni Award, Case Western Reserve University, 2013
  • American Academy of Nursing Living Legend, 2023

👩‍💼 Faculty Appointments and Other:

  • Distinguished Professor, UCLA School of Nursing, 1995-2011, 2017-present
  • Visiting Faculty, Kitasato University School of Nursing, 2022
  • Nurse Practitioner, St. Francis Hospital, 1978-1979

📜 Certifications:

  • RN Licensure: California I372011
  • CA BRN Nurse Practitioner Certificate: 7567

🏆 Professional Organization Activities:

  • Member, Sigma Theta Tau, Gamma Tau Chapter, 1982-present
  • Committee Member, American Heart Association Hypertension Committee, 1984-1986

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 261 documents indexed in Scopus.
  • 📊 Citations: A total of 5,958 citations for his publications, reflecting the widespread impact and recognition of Dr. Adeline Nyamathi’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 11347 📖
    • h-index: 60 📊
    • i10-index: 207 🔍
  • Since 2018:
    • Citations: 2678 📖
    • h-index: 25 📊
    • i10-index: 91 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes :

1.  Relative contributions of parent substance use and childhood maltreatment to chronic homelessness, depression, and substance abuse problems among homeless women: Mediating

Journal: Child abuse & neglect

Published Year: 2002

Cited By: 405

2.  Focus group interview: a research technique for informed nursing practice

Journal: Journal of advanced nursing

Published Year: 1990

Cited By: 316

3.  AIDS-related knowledge, perceptions, and behaviors among impoverished minority women.

Journal: American Journal of Public Health

Published Year: 1993

Cited By: 258

4.  Sheltered versus nonsheltered homeless women: Differences in health, behavior, victimization, and utilization of care

Journal: Journal of general internal medicine

Published Year: 2000

Cited By: 209

5.  Health-seeking challenges among homeless youth

Journal: Nursing research

Published Year: 2010

Cited By: 207