Jing Chi
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
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- Adaptive Control of Nonlinear Systems
Papers in
-
- Face recognition and analysis 6
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- Advanced materials and composites 10
- High Entropy Alloys Studies 5
- Co-authors
- Xiaozheng Jin (14 shared papers)Min Li (10 shared papers)Shufeng Wang (7 shared papers)Mingyang Zhang (6 shared papers)Xiao-Ming Wu (5 shared papers)Caiming Zhang (8 shared papers)Min Fang (5 shared papers)Xiaoming Wu (7 shared papers)
- Journals
- Journal of the Franklin Institute (4 papers)Frontiers in Medicine (3 papers)Vacuum (3 papers)Applied Mathematics and Computation (3 papers)The Journal of the Acoustical Society of America (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jing Chi
96 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 147
- Cell Biology 132
- Control and Systems Engineering 189
- Mechanical Engineering 254
- Developmental Neuroscience 22
- Computational Mathematics 3
Countries citing papers authored by Jing Chi
This map shows the geographic impact of Jing Chi'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 Jing Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Chi more than expected).
Fields of papers citing papers by Jing Chi
This network shows the impact of papers produced by Jing Chi. 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 Jing Chi. The network helps show where Jing Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Chi, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 144 | |
| 2 | 2020 | 95 | |
| 3 | 2019 | 76 | |
| 4 | 2020 | 65 | |
| 5 | 2020 | 61 | |
| 6 | 2017 | 49 | |
| 7 | 2015 | 47 | |
| 8 | 2019 | 46 | |
| 9 | 2019 | 46 | |
| 10 | 2020 | 39 | |
| 11 | 2011 | 38 | |
| 12 | 2014 | 38 | |
| 13 | 2019 | 38 | |
| 14 | 2009 | 29 | |
| 15 | 2021 | 29 | |
| 16 | 2016 | 27 | |
| 17 | 2018 | 25 | |
| 18 | 2018 | 25 | |
| 19 | 2023 | 23 | |
| 20 | 2013 | 21 |
About Jing Chi
Jing Chi is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Control and Systems Engineering, Surgery and Epidemiology, having authored 107 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced materials and composites (10 papers), Adaptive Control of Nonlinear Systems (8 papers), Cytomegalovirus and herpesvirus research (7 papers), Metal and Thin Film Mechanics (6 papers), Face recognition and analysis (6 papers), High Entropy Alloys Studies (5 papers), Neural Networks Stability and Synchronization (5 papers) and Control and Dynamics of Mobile Robots (4 papers). The work is most often cited by research in Cell Biology (132 citations), Control and Systems Engineering (189 citations), Mechanical Engineering (254 citations), Developmental Neuroscience (22 citations) and Computational Mathematics (3 citations). Jing Chi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaozheng Jin, Min Li, Shufeng Wang, Mingyang Zhang, Xiao-Ming Wu, Caiming Zhang, Min Fang, Xiaoming Wu, Chao Zhou and Fangxun Bao. Their work appears in journals such as Journal of the Franklin Institute, Frontiers in Medicine, Vacuum, Applied Mathematics and Computation and The Journal of the Acoustical Society of America.
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.