Prof. Dr. Jinlin Wang | Earth and Planetary Sciences | Best Researcher Award
Prof. Dr at University of Chinese Academy of Sciences, China.
Wang Jinlin is a Research Professor at the Institute of Space Applications Engineering and Technology, Chinese Academy of Sciences. He specializes in remote sensing geology, mathematical geology, hyperspectral applications in geology and mineral resources, and GIS technology. With a robust academic background and significant contributions to geosciences, he aims to enhance geological exploration and resource management through advanced technological methods. His extensive research has resulted in various publications and patents, positioning him as a leading expert in his field.
Profile
Education 🎓
Wang Jinlin obtained his Ph.D. in Cartography and Geographic Information Systems from the Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (2010). He also holds a Bachelor’s degree in Resource Exploration Engineering from China University of Geosciences (Wuhan) (2002). His educational journey has been shaped by esteemed supervisors, including Chen Xi and Zhou Zonggui, contributing to his expertise in spatial applications and geological studies.
Experience 💼
Wang Jinlin has held several significant positions at the Chinese Academy of Sciences. Currently, he is a Research Professor at the Institute of Space Applications Engineering and Technology (2023-present). Previously, he worked as a Senior Engineer at the Xinjiang Institute of Ecology and Geography (2020-2023) and as an Assistant Research Professor (2010-2015). His experience includes a prestigious visiting scholar position at Saint Louis University, USA (2011). He has contributed to numerous projects in mineral resources and remote sensing, significantly impacting geological research.
Awards and Honors 🏆
Wang Jinlin has received several prestigious awards, including the First Prize for Science and Technology Progress at the provincial/ministerial level for his work on geological big data and metallogenic prediction methods (2017). He has also been recognized for the integration of big data and information service technology for Xinjiang tourism (2017). His contributions to innovative geological methodologies have led to several patents, reflecting his commitment to advancing geological sciences through research and development.
Research Focus 🔬
Wang Jinlin’s research focus includes remote sensing geology, mathematical geology, and hyperspectral applications in geology and mineral resources. He investigates the integration of GIS technology in geological studies and resource management. His work emphasizes data-driven approaches to mineral exploration, utilizing hyperspectral imaging to enhance geological assessments. Through innovative methodologies, he aims to improve the understanding and management of mineral resources, contributing significantly to the field of geosciences.
Conclusion 📝
Wang Jinlin is a highly qualified candidate for the Best Researcher Award, with significant achievements in research, innovation, and recognition. His extensive publication record, innovative contributions through patents, and awards reflect his dedication and impact in the field of geology and remote sensing. By addressing areas for improvement, such as fostering interdisciplinary collaborations and enhancing public engagement, he can further elevate his research profile and contributions to the academic community. Recognizing him with this award would not only acknowledge his past achievements but also inspire continued excellence in his future endeavors.
Publications Top Notes
- Pd(II)/Pd(IV) redox shuttle to suppress vacancy defects at grain boundaries for efficient kesterite solar cells
- Authors: Wang, J., Shi, J., Yin, K., Chen, S., Meng, Q.
- Journal: Nature Communications
- Year: 2024
- Volume: 15
- Issue: 1
- Page: 4344
- Citations: 2
- Multinary alloying for facilitated cation exchange and suppressed defect formation in kesterite solar cells with above 14% certified efficiency
- Authors: Shi, J., Wang, J., Meng, F., Li, D., Meng, Q.
- Journal: Nature Energy
- Year: 2024
- Volume: 9
- Issue: 9
- Pages: 1095–1104
- Citations: 12
- Estimation of lithium content in rock debris based on spectral feature coefficients
- Authors: Jiang, G., Chen, X., Zhou, K., Zhou, S., Bai, Y.
- Journal: Ore Geology Reviews
- Year: 2024
- Volume: 171
- Article Number: 106167
- Citations: 0
- Quantitative evaluation of the impact of band optimization methods on the accuracy of the hyperspectral metal element inversion models
- Authors: Ma, X., Wang, J., Zhou, K., De Maeyer, P., Van de Voorde, T.
- Journal: International Journal of Applied Earth Observation and Geoinformation
- Year: 2024
- Volume: 132
- Article Number: 104011
- Citations: 0
- New data-driven estimation of metal element in rocks using hyperspectral data and geochemical data
- Authors: Ma, X., Wang, J., Zhou, K., De Maeyer, P., Van de Voorde, T.
- Journal: Ore Geology Reviews
- Year: 2024
- Volume: 165
- Article Number: 105877
- Citations: 0
- Inversion of feldspar content in granite based on hyperspectral indices developed from multi-angular bidirectional reflectance
- Authors: Wu, M., Jin, J., Wang, J., Wang, Q.
- Journal: Acta Geologica Sinica
- Year: 2024
- Volume: 98
- Issue: 1
- Pages: 314–323
- Citations: 0
- MSTGI: a multi-scale spatio-temporal grid index model for remote-sensing big data retrieval
- Authors: Liu, H., Yan, J., Wang, J., He, L., Yu, X.
- Journal: Remote Sensing Letters
- Year: 2024
- Volume: 15
- Issue: 1
- Pages: 44–54
- Citations: 1
- Mapping Lithium-Bearing Pegmatite with Short-Wave Infrared (SWIR) Hyperspectral Imaging of Jingerquan Li-Be-Nb-Ta Pegmatite Deposit, Eastern Tianshan, NW China
- Authors: Bai, Y., Wang, J., Zhou, K., Ma, X., Fan, X.
- Journal: IEEE Transactions on Geoscience and Remote Sensing
- Year: 2024
- Volume: 62
- Pages: 1–15
- Article Number: 4500615
- Citations: 2
- Crustal structure of the Tian Shan Orogen and its adjacent areas inferred from EIGEN-6C4 gravity field data
- Authors: An, S., Wang, J., Xiao, W., Jia, X., Zhang, Z.
- Journal: Tectonophysics
- Year: 2023
- Volume: 869
- Article Number: 230131
- Citations: 0
- Controlling Selenization Equilibrium Enables High-Quality Kesterite Absorbers for Efficient Solar Cells
- Authors: Xu, X., Zhou, J., Yin, K., Luo, Y., Meng, Q.
- Journal: Nature Communications
- Year: 2023
- Volume: 14
- Issue: 1
- Article Number: 6650
- Citations: 16