World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
75
Citations
25163
World Ranking
1252
National Ranking
120

Research.com Recognitions

  • 2008 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Jin Chen is affiliated with Beijing Normal University in China and has concentrated research efforts in the fields of Environmental Science and Engineering. Their work spans multiple subfields including Ecology, Global and Planetary Change, Plant Science, Computer Vision and Pattern Recognition, and Media Technology.

The scientist's research topics are primarily focused on remote sensing applications, covering areas such as Remote Sensing in Agriculture, Remote-Sensing Image Classification, Advanced Image Fusion Techniques, Remote Sensing and Land Use, Land Use and Ecosystem Services, Plant Water Relations and Carbon Dynamics, and Remote Sensing and LiDAR Applications.

Key recent papers authored by or associated with Jin Chen include:

  • Mapping global urban boundaries from the global artificial impervious area (GAIA) data, 2020, Environmental Research Letters
  • FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery, 2022, ISPRS Journal of Photogrammetry and Remote Sensing
  • A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky-Golay filter, 2021, ISPRS Journal of Photogrammetry and Remote Sensing
  • Understanding the nutrient composition and nutritional functions of highland barley (Qingke): A review, 2020, Trends in Food Science & Technology
  • Spatio-temporal fusion for remote sensing data: an overview and new benchmark, 2020, Science China Information Sciences

Jin Chen has frequently published in notable venues such as arXiv (Cornell University), Remote Sensing of Environment, Remote Sensing, SSRN Electronic Journal, and IEEE Transactions on Geoscience and Remote Sensing. These platforms reflect the interdisciplinary and applied nature of their research.

The scientist has collaborated with several frequent coauthors, including Xuehong Chen, Xiaolin Zhu, Miaogen Shen, Ruyin Cao, and Xin Cao. These collaborations indicate an active engagement with peers in remote sensing and environmental science research communities.

Jin Chen was recognized as a Fellow of the American Association for the Advancement of Science (AAAS) in 2008, reflecting acknowledged contributions within the scientific community.

Best Publications

  • A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter

    Jin Chen;Jin Chen;Per. Jönsson;Masayuki Tamura;Zhihui Gu

  • Global land cover mapping at 30 m resolution: A POK-based operational approach

    Jun Chen;Jin Chen;Anping Liao;Xin Cao

  • Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data

    Peng Gong;Jie Wang;Le Yu;Yongchao Zhao

  • An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions

    Xiaolin Zhu;Jin Chen;Feng Gao;Xuehong Chen

  • Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to Topographic Effects: A Case Study in High-Density Cypress Forest

    Bunkei Matsushita;Wei Yang;Jin Chen;Yuyichi Onda

  • Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction

    Zhangyan Jiang;Alfredo R. Huete;Jin Chen;Yunhao Chen

  • Quantifying the cool island intensity of urban parks using ASTER and IKONOS data

    Xin Cao;Xin Cao;Akio Onishi;Jin Chen;Hidefumi Imura

  • A flexible spatiotemporal method for fusing satellite images with different resolutions

    Xiaolin Zhu;Eileen H. Helmer;Feng Gao;Desheng Liu

  • Mapping global urban boundaries from the global artificial impervious area (GAIA) data

    Xuecao Li;Peng Gong;Yuyu Zhou;Jie Wang;Jie Wang

  • A simple and effective method for filling gaps in Landsat ETM+ SLC-off images

    Jin Chen;Xiaolin Zhu;Xiaolin Zhu;James E. Vogelmann;Feng Gao

  • Influences of temperature and precipitation before the growing season on spring phenology in grasslands of the central and eastern Qinghai-Tibetan Plateau

    Miaogen Shen;Yanhong Tang;Jin Chen;Xiaolin Zhu

  • A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data

    Xin Cao;Xin Cao;Jin Chen;Jin Chen;Hidefumi Imura;Osamu Higashi

  • A simple method to improve the quality of NDVI time-series data by integrating spatiotemporal information with the Savitzky-Golay filter

    Ruyin Cao;Yang Chen;Miaogen Shen;Jin Chen

  • Comparison and improvement of methods for identifying waterbodies in remotely sensed imagery

    Fangdi Sun;Wanxiao Sun;Jin Chen;Peng Gong

  • Water use efficiency and evapotranspiration of winter wheat and its response to irrigation regime in the north China plain

    Guo Yu Qiu;Liming Wang;Xinhua He;Xiying Zhang

  • A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter

    Yang Chen;Ruyin Cao;Jin Chen;Licong Liu

  • Modelling the population density of China at the pixel level based on DMSP/OLS non-radiance-calibrated night-time light images

    L. Zhuo;T. Ichinose;J. Zheng;J. Chen

  • Application of ground penetrating radar for coarse root detection and quantification: A review

    Li Guo;Jin Chen;Xihong Cui;Bihang Fan

  • A new geostatistical approach for filling gaps in Landsat ETM+ SLC-off images

    Xiaolin Zhu;Xiaolin Zhu;Desheng Liu;Jin Chen

  • The spatial distribution patterns of biological soil crusts in the Gurbantunggut Desert, Northern Xinjiang, China

    Y.M. Zhang;J. Chen;L. Wang;X.Q. Wang

  • Restoring urbanization process in China in the 1990s by using non-radiance-calibrated DMSP/OLS nighttime light imagery and statistical data

    Chunyang He;Peijun Shi;Jinggang Li;Jin Chen

Frequent Co-Authors

Miaogen Shen
Miaogen Shen Chinese Academy of Sciences
Xiaolin Zhu
Xiaolin Zhu Hong Kong Polytechnic University
Yanhong Tang
Yanhong Tang Peking University
Wei Yang
Wei Yang Chinese Academy of Sciences
Peijun Shi
Peijun Shi Beijing Normal University
Bing Xu
Bing Xu Tsinghua University
Henry Lin
Henry Lin Pennsylvania State University
Peng Gong
Peng Gong University of Hong Kong
Yasushi Yamaguchi
Yasushi Yamaguchi Nagoya University
Le Wang
Le Wang University at Buffalo, State University of New York

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