Wang Jinlin| Geoscience | Best Innovation Award

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Prof. Dr. Wang Jinlin| Geoscience | Best Innovation Award

Prof. Dr at Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, China

Wang Jinlin is a Research Professor at the Institute of Space Applications Engineering and Technology, Chinese Academy of Sciences. With expertise in remote sensing geology, mathematical geology, hyperspectral applications, and GIS technology, his work significantly impacts resource exploration and geological analysis. He has contributed extensively to understanding and mapping mineral resources and developing advanced geospatial technologies.

Profile

Scopus

🎓 Education

Ph.D. in Cartography and Geographic Information System from Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (2004-2010, supervised by Chen Xi). Bachelor’s in Resource Exploration Engineering from China University of Geosciences, Wuhan (1998-2002, supervised by Zhou Zonggui).

💼 Experience

Currently, Research Professor at the Institute of Space Applications Engineering and Technology, CAS (since 2023). Previously, Senior Engineer at Xinjiang Institute of Ecology and Geography, CAS (2020-2023), and Assistant Research Professor (2010-2015). Also served as a Visiting Scholar at Saint Louis University in 2011.

🏆 Awards & Honors

Received Science and Technology Progress awards from Xinjiang Uygur Autonomous Region People’s Government for projects on geological big data and tourism tech integration (2017). Holds patents in geological and spatial technology, including topological sorting of stratigraphic sequences (2021), and co-developed an award-winning dynamic platform for aero-magnetic surveys.

🔬 Research Focus

Specializes in remote sensing geology, hyperspectral imaging for mineral detection, and GIS for resource management. His research advances methods for metal estimation in rocks, hyperspectral data application, and innovative geological modeling and management systems.

Publications Top Notes

  • Pd(II)/Pd(IV) Redox Shuttle for Kesterite Solar Cells
    Authors: Wang, J., Shi, J., Yin, K., … Chen, S., Meng, Q.
    Journal: Nature Communications, 2024, 15(1), 4344
    This open-access article explores a Pd(II)/Pd(IV) redox shuttle method to reduce vacancy defects in kesterite solar cells, enhancing efficiency.

 

  • Multinary Alloying in Kesterite Solar Cells
    Authors: Shi, J., Wang, J., Meng, F., … Li, D., Meng, Q.
    Journal: Nature Energy, 2024, 9(9), 1095–1104
    The study discusses alloying to aid cation exchange and minimize defects in kesterite solar cells, achieving above 14% certified efficiency.

 

  • Lithium Content Estimation in Rock Debris via Spectral Feature Coefficients
    Authors: Jiang, G., Chen, X., Zhou, K., … Zhou, S., Bai, Y.
    Journal: Ore Geology Reviews, 2024, 171, 106167
    This paper focuses on a spectral feature-based method to estimate lithium content in rock samples, relevant for geochemical studies.

 

  • Impact of Band Optimization on 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, 2024, 132, 104011
    A quantitative evaluation of band optimization techniques to improve accuracy in metal element inversion models using hyperspectral data.

 

  • Inversion of Feldspar Content in Granite Using Hyperspectral Indices
    Authors: Wu, M., Jin, J., Wang, J., Wang, Q.
    Journal: Acta Geologica Sinica, 2024, 98(1), 314–323
    This research employs multi-angular hyperspectral indices to analyze and quantify feldspar content in granite.

 

Jinlin Wang | Earth and Planetary Sciences | Best Researcher Award

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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

Scopus

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