Jin Chen
Impact in
- Media Technology top 0.01%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Ecology top 0.05%
- Remote Sensing in Agriculture
Papers in
- Media Technology 102
- Remote-Sensing Image Classification 74
- Advanced Image Fusion Techniques 26
- Ecology 155
- Remote Sensing in Agriculture 141
- Co-authors
- Xiaolin Zhu (49 shared papers)Xuehong Chen (80 shared papers)Bunkei Matsushita (20 shared papers)Xin Cao (52 shared papers)Feng Gao (5 shared papers)Miaogen Shen (48 shared papers)Masayuki Tamura (9 shared papers)Wei Yang (30 shared papers)
- Journals
- Remote Sensing of Environment (33 papers)Remote Sensing (22 papers)International Journal of Remote Sensing (21 papers)IEEE Transactions on Geoscience and Remote Sensing (19 papers)ISPRS Journal of Photogrammetry and Remote Sensing (14 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jin Chen
644 papers receiving 26.6k citations
Jin Chen's Hit Papers
Peers
Comparison fields: 5 of 194
- Media Technology 5.3k
- Ecology 9.4k
- Global and Planetary Change 4.7k
- Environmental Engineering 2.6k
- Atmospheric Science 1.7k
Countries citing papers authored by Jin Chen
This map shows the geographic impact of Jin Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Chen more than expected).
Fields of papers citing papers by Jin Chen
This network shows the impact of papers produced by Jin Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Chen. The network helps show where Jin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 694 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter Hit paper breakdown → | 2004 | 1915 |
| 2 | Global land cover mapping at 30 m resolution: A POK-based operational approach Hit paper breakdown → | 2014 | 1625 |
| 3 | Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data Hit paper breakdown → | 2012 | 1397 |
| 4 | An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions Hit paper breakdown → | 2010 | 1096 |
| 5 | Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to Topographic Effects: A Case Study in High-density Cypress Forest Hit paper breakdown → | 2007 | 661 |
| 6 | A flexible spatiotemporal method for fusing satellite images with different resolutions Hit paper breakdown → | 2015 | 624 |
| 7 | Mapping global urban boundaries from the global artificial impervious area (GAIA) data Hit paper breakdown → | 2020 | 593 |
| 8 | Quantifying the cool island intensity of urban parks using ASTER and IKONOS data Hit paper breakdown → | 2010 | 573 |
| 9 | Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction Hit paper breakdown → | 2006 | 557 |
| 10 | A simple and effective method for filling gaps in Landsat ETM+ SLC-off images Hit paper breakdown → | 2011 | 468 |
| 11 | FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery Hit paper breakdown → | 2022 | 398 |
| 12 | 2011 | 384 | |
| 13 | 2003 | 332 | |
| 14 | Effects of dam construction on biodiversity: A review Hit paper breakdown → | 2019 | 296 |
| 15 | 2018 | 268 | |
| 16 | 2009 | 251 | |
| 17 | 2006 | 228 | |
| 18 | 2020 | 212 | |
| 19 | A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter Hit paper breakdown → | 2021 | 211 |
| 20 | 2012 | 194 |
About Jin Chen
Jin Chen is a scholar working on Media Technology, Ecology, Ocean Engineering, Global and Planetary Change and Computer Vision and Pattern Recognition, having authored 694 papers that have together received 27.3k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (141 papers), Remote-Sensing Image Classification (74 papers), Advanced Image Fusion Techniques (26 papers), Machine Fault Diagnosis Techniques (21 papers), Geophysical Methods and Applications (18 papers), Water resources management and optimization (17 papers), Impact of Light on Environment and Health (16 papers) and Agricultural Engineering and Mechanization (14 papers). The work is most often cited by research in Media Technology (5.3k citations), Ecology (9.4k citations), Global and Planetary Change (4.7k citations), Environmental Engineering (2.6k citations) and Atmospheric Science (1.7k citations). Jin Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaolin Zhu, Xuehong Chen, Bunkei Matsushita, Xin Cao, Feng Gao, Miaogen Shen, Masayuki Tamura, Wei Yang, Zhihui Gu and Lars Eklundh. Their work appears in journals such as Remote Sensing of Environment, Remote Sensing, International Journal of Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.