Jin Shen
Impact in
- Environmental Engineering top 10%
- Soil Geostatistics and Mapping
- Wind and Air Flow Studies
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- Video Surveillance and Tracking Methods
- Image and Signal Denoising Methods
Papers in
-
- Soil Geostatistics and Mapping 15
- Wind and Air Flow Studies 10
-
- Image and Signal Denoising Methods 13
- Co-authors
- Yajing Wang (28 shared papers)John C. Thomas (19 shared papers)Mingliang Gao (10 shared papers)Xinjun Zhu (11 shared papers)Guofeng Zou (6 shared papers)Zhenmei Li (10 shared papers)Jun Jiang (3 shared papers)Wei Liu (5 shared papers)
- Journals
- Applied Optics (7 papers)Optics Express (5 papers)Powder Technology (5 papers)Optics & Laser Technology (4 papers)Particle & Particle Systems Characterization (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jin Shen
84 papers receiving 532 citations
Peers
Comparison fields: 5 of 109
- Environmental Engineering 102
- Computer Vision and Pattern Recognition 101
- Acoustics and Ultrasonics 4
- Biophysics 23
- Global and Planetary Change 70
Countries citing papers authored by Jin Shen
This map shows the geographic impact of Jin Shen'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 Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Shen more than expected).
Fields of papers citing papers by Jin Shen
This network shows the impact of papers produced by Jin Shen. 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 Shen. The network helps show where Jin Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Shen, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 45 | |
| 2 | 2007 | 27 | |
| 3 | 2010 | 26 | |
| 4 | 2014 | 24 | |
| 5 | 2021 | 20 | |
| 6 | 2017 | 20 | |
| 7 | 2023 | 17 | |
| 8 | 2013 | 17 | |
| 9 | 2011 | 17 | |
| 10 | 2018 | 17 | |
| 11 | 2019 | 14 | |
| 12 | 2019 | 11 | |
| 13 | 2021 | 11 | |
| 14 | 2012 | 11 | |
| 15 | 2011 | 11 | |
| 16 | 2025 | 11 | |
| 17 | 2011 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2015 | 10 | |
| 20 | 2018 | 9 |
About Jin Shen
Jin Shen is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Global and Planetary Change and Biomedical Engineering, having authored 91 papers that have together received 578 indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (15 papers), Optical Imaging and Spectroscopy Techniques (14 papers), Atmospheric aerosols and clouds (14 papers), Image and Signal Denoising Methods (13 papers), Wind and Air Flow Studies (10 papers), Calibration and Measurement Techniques (8 papers), Statistical and numerical algorithms (7 papers) and Spectroscopy and Chemometric Analyses (6 papers). The work is most often cited by research in Environmental Engineering (102 citations), Computer Vision and Pattern Recognition (101 citations), Acoustics and Ultrasonics (4 citations), Biophysics (23 citations) and Global and Planetary Change (70 citations). Jin Shen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yajing Wang, John C. Thomas, Mingliang Gao, Xinjun Zhu, Guofeng Zou, Zhenmei Li, Jun Jiang, Wei Liu, Haitao Li and Mengjie Wang. Their work appears in journals such as Applied Optics, Optics Express, Powder Technology, Optics & Laser Technology and Particle & Particle Systems Characterization.
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.