Prof. Dr. Rong Ke | Ecology | Best Researcher Award
Shanghai University of International Business and Economics | China
Author Profile
KE RONG: PROFESSOR AT SHANGHAI UNIVERSITY OF INTERNATIONAL BUSINESS AND ECONOMICS 🌍
📚 EARLY ACADEMIC PURSUITS
Ke Rong’s academic journey began with a focus on statistics, earning a Ph.D. in Statistics from Shanghai University of Finance and Economics. His keen interest in spatiotemporal statistics led him to further hone his expertise, including a tenure as a visiting scholar at Ohio State University, where his research blossomed into environmental and ecological studies.
🧪 PROFESSIONAL ENDEAVORS
A dedicated professional, Ke Rong has served in various capacities, including as a council member of the Chinese Society of On-site Statistics and an expert at the Shanghai Bureau of Statistics. His dedication to statistical analysis is demonstrated through his leadership in numerous national and provincial research projects, further solidifying his reputation in the field.
🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON ECOLOGY
Ke Rong’s primary research focus is on advancing spatiotemporal statistical methods, particularly their application in environmental and ecological studies. He has made significant contributions to multi-scale analysis using wavelet techniques, aiding in the understanding of complex environmental systems. His development of a novel spatiotemporal change-point detection method for air quality monitoring exemplifies his impact on environmental research.
🌍 IMPACT AND INFLUENCE
Ke Rong’s work has influenced the development of environmental statistics, improving the accuracy of monitoring and analysis of ecological and environmental data. His contributions support evidence-based decision-making in ecological conservation and environmental management, impacting both local and global sustainability efforts.
📈 ACADEMIC CITATIONS AND PUBLICATIONS
Ke Rong has published over 30 papers in high-impact journals, including SCI, SSCI, EI, and CSSCI. His research has earned him a citation index of approximately 60, further validating his contributions to the field. He has also authored a book, Theory and Applications of Spatiotemporal Statistics, providing a comprehensive resource for fellow researchers and students.
🏅 HONORS & AWARDS
- Shanghai University of Finance and Economics Outstanding Doctoral Thesis Award
- National Population Data Application Award
- National Applied Statistics Education Awards These honors reflect his dedication to advancing the field of statistics and environmental research.
🌐 LEGACY AND FUTURE CONTRIBUTIONS
Ke Rong’s ongoing work in environmental statistics is poised to shape the future of ecological conservation. His innovative methods in spatiotemporal change-point detection and air quality monitoring will continue to inform policy and practices, ensuring his lasting influence on both research and real-world applications.
🌠 FINAL NOTE
Ke Rong continues to push the boundaries of spatiotemporal statistics, contributing significantly to both academia and the field of environmental management. His passion for research, innovative approaches, and commitment to improving ecological studies make him a standout figure in his field.
📑 NOTABLE PUBLICATIONS
Wavelet Estimation of the Geographically and Temporally Weighted Variable Coefficient Regression Model
- Authors: Sun, Z., Ke, R.
- Journal/Conference: Proceedings of SPIE – The International Society for Optical Engineering
- Year: 2023
A Study on the Change-Point of the Mean of Panel Data Based on the Two-Parameter CUSUM Estimator
- Authors: Chen, H., Ke, R.
- Journal/Conference: Proceedings of SPIE – The International Society for Optical Engineering
- Year: 2023
Comparative Analysis of the Shipping Center Competitiveness of Major Port Cities in China
- Authors: Ke, R., Wang, C.
- Journal: Transportation Journal
- Year: 2017
Some Overall Properties of Seemingly Unrelated Regression Models
- Authors: Sun, Y., Ke, R., Tian, Y.
- Journal: AStA Advances in Statistical Analysis
- Year: 2014
An Algorithm of Multi-Stage Inventory Control Under the Conditions of Demand Obeying MA(1) Model
- Authors: Ke, R.
- Journal/Conference: 2009 2nd International Conference on Information and Computing Science, ICIC 2009
- Year: 2009
Multi-Stage Inventory Control Under Unknown Demand Distribution Function
- Authors: Ke, R., Ai, C.
- Journal/Conference: Proceedings of the 8th International Conference of Chinese Logistics and Transportation Professionals – Logistics: The Emerging Frontiers of Transportation and Development in China
- Year: 2008