Jin Chen
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Insect Science top 5%
- Insect-Plant Interactions and Control
Papers in
-
- Handwritten Text Recognition Techniques 5
- Advanced Image and Video Retrieval Techniques 5
- Co-authors
- Xiaodong Yang (1 shared paper)Norbert Podhorszki (1 shared paper)Karsten Schwan (1 shared paper)Scott Klasky (1 shared paper)Jay Lofstead (1 shared paper)David Kramer (8 shared papers)Yue Huang (1 shared paper)Yanhua Wang (1 shared paper)
- Journals
- Bioinformatics (7 papers)Scientific Reports (2 papers)Vaccine (2 papers)Technological Forecasting and Social Change (2 papers)Management Decision (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jin Chen
98 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 161
- Hardware and Architecture 109
- Insect Science 177
- Soil Science 113
- Information Systems and Management 81
- Nature and Landscape Conservation 130
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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 253 | |
| 2 | 2009 | 174 | |
| 3 | 2008 | 155 | |
| 4 | 2016 | 95 | |
| 5 | 2006 | 66 | |
| 6 | 2015 | 48 | |
| 7 | 2012 | 45 | |
| 8 | 2010 | 43 | |
| 9 | 2015 | 43 | |
| 10 | 2017 | 37 | |
| 11 | 2009 | 34 | |
| 12 | 2020 | 33 | |
| 13 | 2020 | 32 | |
| 14 | 2005 | 31 | |
| 15 | 2015 | 31 | |
| 16 | 2018 | 29 | |
| 17 | 2014 | 26 | |
| 18 | 2014 | 26 | |
| 19 | 2008 | 25 | |
| 20 | 2021 | 25 |
About Jin Chen
Jin Chen is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Plant Science and Nature and Landscape Conservation, having authored 106 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (8 papers), Handwritten Text Recognition Techniques (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Virus-based gene therapy research (5 papers), Animal Virus Infections Studies (5 papers), Innovation and Knowledge Management (5 papers), Wildlife Ecology and Conservation (4 papers) and Image Processing Techniques and Applications (4 papers). The work is most often cited by research in Hardware and Architecture (109 citations), Insect Science (177 citations), Soil Science (113 citations), Information Systems and Management (81 citations) and Nature and Landscape Conservation (130 citations). Jin Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaodong Yang, Norbert Podhorszki, Karsten Schwan, Scott Klasky, Jay Lofstead, David Kramer, Yue Huang, Yanhua Wang, Yu Cheng Zhu and Jinliang Shen. Their work appears in journals such as Bioinformatics, Scientific Reports, Vaccine, Technological Forecasting and Social Change and Management Decision.
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.