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Yuandong Wang | Environmental Science | Best Researcher Award

Associate Professor at Gannan Normal University, China.

Yuandong Wang, born in October 1985, is an accomplished Associate Professor, Ph.D. holder, and Master’s Supervisor at Gannan Normal University. A Communist Party member, Wang has extensive experience in environmental remote sensing, cloud computing, and machine learning applications in geosciences, with a particular focus on ecosystem sustainability. Over his career, he has led seven projects funded by notable institutions like the National Natural Science Foundation and Jiangxi Provincial Department of Education. With 25 research papers, including nine as the primary author in prestigious SCI journals, Wang’s work primarily investigates ecological patterns and processes influenced by human activities. His dedication to advancing remote sensing applications is reflected in his leadership roles within Gannan Normal University’s Geographic Information Science Department and his ongoing contributions to teaching and supervising student projects.

Publication Profile

Scopus

Education Background

Yuandong Wang’s academic journey reflects a strong foundation in Geographic Information Systems and remote sensing. He completed his Bachelor’s degree in Geographic Science at Ludong University in 2008. Pursuing advanced studies, he earned a Master’s degree from the Northeast Institute of Geography and Agroecology at the Chinese Academy of Sciences (CAS) in 2011. Wang then attained his Ph.D. in Environmental Remote Sensing and Geographic Information Systems at the CAS Yantai Institute of Coastal Zone Research in 2014, guided by renowned advisor Hou Xiyong. Furthering his expertise, he undertook a postdoctoral fellowship at CAS’s Aerospace Information Research Institute, specializing in cartography and GIS under Wu Bingfang from 2015 to 2019.

Professional Certification

Wang joined Gannan Normal University in 2014 as a lecturer in the College of Geography and Environmental Engineering and was promoted to Associate Professor in 2020. His extensive roles include Director of the Department of Resources, Environment, and Urban-Rural Planning and Deputy Chair of the Professorial Committee. Wang has taught over 20 courses, including Remote Sensing Digital Image Processing, Python Programming, and GIS Spatial Analysis, reflecting his commitment to academic excellence. A mentor to many students, he has overseen various national and university-level projects, including studies on remote sensing applications in agriculture. His engagement extends to training programs in geospatial data, cloud computing, and AI, enriching his expertise in applying digital solutions to geoscience challenges.

Awards and Honors 

Yuandong Wang has earned numerous accolades for his contributions to environmental remote sensing and geosciences. His leadership in research projects funded by the National Natural Science Foundation of China and the Jiangxi Provincial Department of Education reflects his scholarly impact. Wang’s published work in high-impact journals has garnered recognition within the scientific community, particularly for his innovative use of cloud computing and machine learning in geospatial analysis. His dedication to advancing the field of geographic information science and his active role in student mentorship and departmental leadership have established him as a prominent figure in both research and academia.

Research Focus

Yuandong Wang’s research centers on environmental remote sensing, cloud computing, and machine learning, with applications in ecological sustainability. He explores ecological dynamics and human-environment interactions in key regions through advanced data processing techniques. His work emphasizes surface parameter remote sensing and cloud computing applications for monitoring ecosystem health, with projects investigating phenomena like vegetation degradation and land sustainability in areas impacted by human activity. Wang has led significant studies, including remote sensing for vegetation patterns in rare earth mining regions, assessing ecological impacts on land resources, and developing advanced models for environmental monitoring using machine learning.

Publication Top Notes  

Assessing the impact of human activities on ecosystem asset dynamics in the Yellow River Basin from 2001 to 2020

Authors: Ming, L., Wang, Y., Liu, G., Meng, L., Chen, X.

Year: 2024

Journal: Scientific Reports, 14(1), 22227

Citations: 0

Determining the planting year of navel orange trees in mountainous and hilly areas of southern China: a remote sensing-based method

Authors: Lei, J., Wang, S., Wang, Y., Luo, W.

Year: 2024

Journal: Journal of Mountain Science, 21(10), pp. 3293–3305

Citations: 0

Dynamics of urban expansion and form changes impacting carbon emissions in the Guangdong-Hong Kong-Macao Greater Bay Area counties

Authors: Ming, L., Wang, Y., Chen, X., Meng, L.

Year: 2024

Journal: Heliyon, 10(8), e29647

Citations: 6

Community characteristics of alkaline phosphatase gene bacteria in soil of different land use in rare earth mining area

Authors: Yang, X.-F., Lin, Z., Zhao, C., Chen, Y.-U., Wang, Y.-D.

Year: 2023

Journal: Journal of Ecology and Rural Environment, 39(6), pp. 810–818

Citations: 0

Variations of extreme precipitation events with sub-daily data: a case study in the Ganjiang River basin

Authors: Liu, G., Xiang, A., Wan, Z., Wang, Y., Lin, S.

Year: 2023

Journal: Natural Hazards and Earth System Sciences, 23(3), pp. 1139–1155

Citations: 4

Characteristics of soil phoD bacterial community and their relationship with heavy metals under five vegetation restoration in acid mines

Authors: Yang, X., Zheng, L., Wan, Z., Men, L., Yu, D.

Year: 2022

Journal: Huanjing Kexue Xuebao/Acta Scientiae Circumstantiae, 42(12), pp. 251–261

Citations: 0

Remotely Monitoring Vegetation Productivity in Two Contrasting Subtropical Forest Ecosystems Using Solar-Induced Chlorophyll Fluorescence

Authors: Liu, G., Wang, Y., Chen, Y., Xie, J., Tang, X.

Year: 2022

Journal: Remote Sensing, 14(6), 1328

Citations: 4

Spatiotemporal variations of water resources metabolism efficiency in the Beijing-Tianjin-Hebei region, China

Authors: Meng, L., Yang, D., Ding, Z., Wang, Y., Ma, W.

Year: 2020

Journal: Water Science and Technology: Water Supply, 20(4), pp. 1178–1188

Citations: 7

Spectral Variation and Corresponding Changing Mechanism of Suspended Particulate Material Absorption in Poyang Lake during Flood Periods

Authors: Wang, Y., You, X., Yu, L., Xu, X., Liu, G.

Year: 2018

Journal: Advances in Materials Science and Engineering, 2018, 6314745

Citations: 1

Spatiotemporal variations and regional differences of extreme precipitation events in the Coastal area of China from 1961 to 2014

Authors: Wang, X., Hou, X., Wang, Y.

Year: 2017

Journal: Atmospheric Research, 197, pp. 94–104

Citations: 75

Yuandong Wang | Environmental Science | Best Researcher Award

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