Dr. Jingzhe Wang, Shenzhen Polytechnic University, China
Dr. Jingzhe Wang is a Lecturer at the School of Artificial Intelligence, Shenzhen Polytechnic University, China. He holds a Ph.D. in Environmental Science from Xinjiang University, where his research focused on wetland landscape dynamics in arid regions. His expertise lies in land remote sensing, digital soil mapping, and geospatial data analysis, with a focus on environmental sustainability and global change. Dr. Wang has received several national honors, including the National Scholarship for Doctoral Students and the Remote Sensing Excellent Achievement Award in China.
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Summary:
Dr. Jingzhe Wang is a promising and productive early-career researcher with a well-defined focus in remote sensing, environmental change, and spatial science. His work is methodologically rigorous, thematically timely, and nationally recognized. He demonstrates a clear upward trajectory in research quality and influence, with publications in high-impact journals and commendable technical capabilities.
🎓 Education
Dr. Jingzhe Wang earned a Ph.D. in June 2019 from the College of Resources and Environmental Science at Xinjiang University, China, under the mentorship of Prof. Jianli Ding. His doctoral research focused on the landscape dynamics of terminal lake wetlands in arid regions, using Ebinur Lake Wetland as a case study. He also holds a Bachelor of Science degree from the School of Resources and Environment at Anqing Normal University, obtained in June 2014.
💼Experience
Currently serving as a Lecturer at the School of Artificial Intelligence, Shenzhen Polytechnic University since March 2022, Dr. Wang holds a permanent academic appointment. Prior to this, he completed a postdoctoral fellowship at the MNR Key Laboratory for Geo-Environmental Monitoring of the Great Bay Area, Shenzhen University, from November 2019 to February 2021.
🔬Research Focus
Dr. Wang’s research interests lie at the intersection of Earth observation and digital environmental analysis. He specializes in land remote sensing, global change studies, digital soil mapping, and spatial geographic information science. His ongoing work contributes to advancing environmental sustainability through cutting-edge geospatial technologies.
🛠️Skills
Dr. Wang possesses advanced expertise in spectral modeling using machine learning, alongside proficiency in spectral pretreatment techniques and data mining. His interdisciplinary capabilities support innovative research in geospatial analysis and environmental monitoring.
🏆Awards
His work has been consistently recognized at both national and academic levels. He received the prestigious National Scholarship for Doctoral Students from the Ministry of Education of China in 2018. In 2022, he was honored with the Excellent Academic Papers Award in the Natural Sciences by the Science & Technology Department of Xinjiang. He also earned the Best Oral Report Award at the 2023 Symposium of Remote Sensing of Ecosystems organized by the Ecological Society of China, and was part of a team awarded the Remote Sensing Excellent Achievement Award by the Chinese National Committee for Remote Sensing.
📚 Publications
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Title: Spatiotemporal analysis of AGB and BGB in China: Responses to climate change under SSP scenarios
Authors: C. Zhu, Y. Li, J. Ding, X. Chen, Z. Zhang
Year: 2025
Journal: Geoscience Frontiers
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Title: Hierarchical 2-D/3-D Object-Based Classification of Photogrammetric Textured Mesh Models
Authors: Z. Hu, J. Zhang, Z. Liu, Q. Zhang, G. Wu
Year: 2025
Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Title: Effects of degraded land surface water on spatiotemporal distribution of regional aerosols over northwest China
Authors: J. Wang, J. Ding, X. Chen, X. Ge, Y. Wu
Year: 2025
Journal: Dili Xuebao / Acta Geographica Sinica
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Title: Soil Organic Carbon Sequestration Potential, Storage, and Influencing Mechanisms in China
Authors: J. Cao, Z. Zhang, J. Ding, X. Ge, J. Wang
Year: 2025
Journal: Land Degradation and Development
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Title: Unveiling the Dynamic Patterns and Driving Forces of Soil Organic Carbon in Chinese Croplands From 1980 to 2020
Authors: J. Ai, Z. Zhang, C. Yang, X. Chen, J. Wang
Year: 2025
Journal: Land Degradation and Development
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Title: UAS-based remote sensing for agricultural monitoring: Current status and perspectives
Authors: J. Wang, S. Zhang, I. Lizaga, Q. Huang, Z. Hu
Year: 2025
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Title: Assessing the reactions of tourist markets to reinstated travel restrictions in the destination during the post-COVID-19 phase
Authors: X. Ma, R. Ma, Z. Ma, C. Wang, F. Han
Year: 2024
Journal: Scientific Reports
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Title: Scale matters: How spatial resolution impacts remote sensing based urban green space mapping?
Authors: Z. Hu, Y. Chu, Y. Zhang, J. Wang, G. Wu
Year: 2024
Journal: International Journal of Applied Earth Observation and Geoinformation
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Title: The Performance of Landsat-8 and Landsat-9 Data for Water Body Extraction Based on Various Water Indices: A Comparative Analysis
Authors: J. Chen, Y. Wang, J. Wang, F. Lu, Z. Hu
Year: 2024
Journal: Remote Sensing
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Title: Using ZY1-02D satellite hyperspectral remote sensing to monitor landscape diversity and its spatial scaling change in the Yellow River Estuary
Authors: S. Cheng, X. Yang, G. Yang, K. Ren, W. Sun
Year: 2024
Journal: International Journal of Applied Earth Observation and Geoinformation
Conclusion:
Dr. Wang is a strong candidate for the Research for Best Researcher Award, especially in the environmental and geospatial domains. With continued advancement in leadership, global outreach, and project funding, he has the potential to evolve into a leading figure in his field.