Prof Dr. Yong-hai Li | Decision analysis | Best Researcher Award
Prof Dr. Yong-hai Li, Henan University of Technology, China
Prof. Dr. Yong-hai Li, a prominent professor and doctoral supervisor, holds a Ph.D. and has been a visiting scholar at the University of Windsor. His academic influence is further demonstrated through his active roles in key committees such as the Youth Working Committee of the Chinese Society for Operations Research and the Decision Science Professional Committee of the Systems Engineering Society of China. Prof. Li has led significant research projects funded by the National Natural Science Foundation of China and the Henan Province Philosophy and Social Science Planning Project. His contributions to academia have earned him recognition as a provincial young backbone teacher and social science innovation talent, underscoring his impactful role in advancing research and education in his field.
Professional Profile:
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Suitability for the Award
Prof. Dr. Yong-hai Li is highly suitable for the Best Researcher Award due to the following reasons:
- Significant Research Contributions: Prof. Li’s research spans multiple impactful areas including rural e-commerce, big data management, and business intelligence. His contributions have led to practical solutions and frameworks that address real-world problems, showcasing his ability to drive meaningful advancements in his field.
- Recognition and Awards: His impressive track record of publications, including high-impact papers and monographs, reflects his significant contributions to academia. The awards he has received underscore the quality and impact of his research.
- Leadership and Influence: Prof. Li’s roles as a professor, doctoral supervisor, and member of various professional committees demonstrate his leadership and influence in his field. His involvement in international academic communities and projects adds to his stature as a leading researcher.
- Practical Impact: The practical applications of his research, such as the development of decision-making frameworks and solutions for e-commerce challenges, highlight the real-world value of his work. This aligns well with the criteria for the Best Researcher Award, which values research that has tangible benefits and applications.
Educational and Professional Background:
Prof. Dr. Yong-hai Li holds a Ph.D. and is a professor and doctoral supervisor. His roles as a visiting scholar at the University of Windsor and a member of several key committees in the Chinese Society for Operations Research and Systems Engineering Society of China underscore his active engagement in the academic community and his influence in the field.
Academic Achievements:
Prof. Li has led and successfully completed significant research projects, including one funded by the National Natural Science Foundation of China and another supported by the Henan Province Philosophy and Social Science Planning Project. His recognition as a provincial young backbone teacher and social science innovation talent highlights his outstanding contributions to academia.
Professional Recognition and Roles:
Prof. Li is actively involved in several academic committees, including the Youth Working Committee of the Chinese Society for Operations Research and the Decision Science Professional Committee of the Systems Engineering Society of China. His involvement in these committees highlights his influential role in the academic community.
Publication Top Notes:
Title: Sentiment Analysis-Based Method for Matching Creative Agri-Product Scheme Demanders and Suppliers: A Case Study from China
Year: 2021
Cited by: 6
Title: Product Recommendation Incorporating the Consideration of Product Performance and Customer Service Factors
Year: 2017
Cited by: 8
Title: Generating Project Risk Response Strategies Based on CBR: A Case Study
Year: 2015
Cited by: 92
Title: Hybrid Similarity Measure for Case Retrieval in CBR and Its Application to Emergency Response Towards Gas Explosion
Year: 2014
Cited by: 121
Title: Method for Generating Emergency Alternative with Considering Implementation Effects of Emergency Alternatives
Year: 2014
Cited by: 18