Assoc Prof Dr. Huaqiao Xing, Shandong Jianzhu University, China
👨🎓 Assoc Prof Dr. Huaqiao Xing, a distinguished scholar at Shandong Jianzhu University in China, is a beacon of academic excellence. 🏛️ Navigating the scholarly terrain with determination and brilliance, he has cultivated a deep reservoir of knowledge and expertise. Driven by a fervor for learning and discovery, Dr. Xing stands as a paragon of dedication to education. 🌐 His educational journey at Shandong Jianzhu University has shaped him into a knowledgeable individual poised to contribute meaningfully to both his field and society at large. As a visionary researcher, his expertise delves into cutting-edge fields, notably land cover change detection, unraveling the dynamics of our planet’s surface in environmental studies. 🌍 Proficient in Geospatial web service and online geoprocessing, he champions the integration of technology to enhance geographical information systems (GIS). 💻🌱 Dr. Xing’s research not only reveals the evolving landscapes but also contributes to the advancement of digital tools, paving the way for a more informed and sustainable future.
🎓 Education :
👨🎓 Dr. Huaqiao Xing is a distinguished scholar hailing from China, with his educational roots firmly grounded in the prestigious Shandong Jianzhu University. 🏛️ Armed with knowledge and expertise, he has undoubtedly navigated the academic landscape with determination and brilliance. 🌐 Driven by a passion for learning and discovery, he represents the epitome of dedication and excellence in education. 🌟 His journey at Shandong Jianzhu University has undoubtedly shaped him into a knowledgeable individual ready to contribute meaningfully to his field and society as a whole. 🚀🌏
🌐 Professional Profiles :
Google Scholar
Scopus
🧠 Research Interests 🔬🌐 :
🌐 Dr. Huaqiao Xing, a visionary researcher, specializes in cutting-edge fields that redefine our understanding of the world. 🌍 His expertise spans across land cover change detection, a crucial aspect in environmental studies, unraveling the dynamics of our planet’s surface. 📊 In addition, his proficiency in Geospatial web service and online geoprocessing propels the integration of technology to enhance geographical information systems (GIS). 💻 Dr. Xing’s research not only unveils the evolving landscapes but also contributes to the advancement of digital tools that facilitate efficient geospatial analysis. 🌱 His work embodies the intersection of technology and environmental science, paving the way for a more informed and sustainable future. 🚀🔍
📚 Publication Impact and Citations :
Scopus Metrics:
- 📝 Publications: 52 documents indexed in Scopus.
- 📊 Citations: A total of 287 citations for his publications, reflecting the widespread impact and recognition of Dr. Huaqiao Xing’s research within the academic community.
Google Scholar Metrics:
- All Time:
- Citations: 379 📖
- h-index: 11 📊
- i10-index: 14 🔍
- Since 2018:
- Citations: 346 📖
- h-index: 11 📊
- i10-index: 14 🔍
👨🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬
Publications Top Notes :
1. Analysis of carbon emissions from land cover change during 2000 to 2020 in Shandong Province, China
Published in Scientific Reports (2022)
Cited by 28 articles
2. V-RSIR: An open access web-based image annotation tool for remote sensing image retrieval
Published in IEEE Access (2019)
Cited by 27 articles
3. A stacking ensemble deep learning model for building extraction from remote sensing images
Published in Remote Sensing (2021)
Cited by 22 articles
4. Integrating change magnitude maps of spectrally enhanced multi-features for land cover change detection
Published in International Journal of Remote Sensing (2021)
Cited by 17 articles
5. O-LCMapping: A Google Earth Engine-based web toolkit for supporting online land cover classification
Published in Earth Science Informatics (2021)
Cited by 15 articles
6. A service relation model for web-based land cover change detection
Published in ISPRS Journal of Photogrammetry and Remote Sensing (2017)
Cited by 15 articles
7. An adaptive change threshold selection method based on land cover posterior probability and spatial neighborhood information
Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021)
Cited by 14 articles
8. Exploiting low dimensional features from the MobileNets for remote sensing image retrieval
Published in Earth Science Informatics (2020)
Cited by 13 articles
9. An attention-enhanced end-to-end discriminative network with multiscale feature learning for remote sensing image retrieval
Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022)
Cited by 12 articles
10. Two novel benchmark datasets from ArcGIS and Bing World Imagery for remote sensing image retrieval
Published in International Journal of Remote Sensing (2021)
Cited by 12 articles