Lisha Chen
Impact in
Papers in
-
- Robot Manipulation and Learning 6
- Microgrid Control and Optimization 5
- Co-authors
- Andreas Buja (3 shared papers)Jianhua Z. Huang (2 shared papers)Rongjie Kang (11 shared papers)Jian S. Dai (6 shared papers)Hongbing Yao (3 shared papers)David T. Branson (4 shared papers)Pablo Bringas (2 shared papers)Heike Hofmann (1 shared paper)
- Journals
- Medicine (3 papers)Scientific Reports (3 papers)Journal of the American Statistical Association (3 papers)Head & Neck (2 papers)Chinese Chemical Letters (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Lisha Chen
136 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 198
- Urology 121
- Pollution 198
- Cancer Research 223
- Statistics and Probability 123
- Computer Vision and Pattern Recognition 304
Countries citing papers authored by Lisha Chen
This map shows the geographic impact of Lisha 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 Lisha Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisha Chen more than expected).
Fields of papers citing papers by Lisha Chen
This network shows the impact of papers produced by Lisha 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 Lisha Chen. The network helps show where Lisha Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisha 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 212 | |
| 2 | 2003 | 186 | |
| 3 | 1999 | 163 | |
| 4 | 2012 | 156 | |
| 5 | 2009 | 136 | |
| 6 | 2017 | 109 | |
| 7 | 2020 | 99 | |
| 8 | 2016 | 91 | |
| 9 | 2006 | 75 | |
| 10 | 2009 | 67 | |
| 11 | 2011 | 63 | |
| 12 | 2021 | 59 | |
| 13 | 2014 | 58 | |
| 14 | 2024 | 56 | |
| 15 | 2018 | 51 | |
| 16 | 2015 | 49 | |
| 17 | 2016 | 49 | |
| 18 | 2012 | 46 | |
| 19 | 2019 | 46 | |
| 20 | 2014 | 43 |
About Lisha Chen
Lisha Chen is a scholar working on Molecular Biology, Control and Systems Engineering, Biomedical Engineering, Electrical and Electronic Engineering and Artificial Intelligence, having authored 142 papers that have together received 3.1k indexed citations. Recurring topics across this work include Soft Robotics and Applications (10 papers), Prosthetics and Rehabilitation Robotics (8 papers), Hydraulic and Pneumatic Systems (7 papers), Microbial bioremediation and biosurfactants (6 papers), Robot Manipulation and Learning (6 papers), Microgrid Control and Optimization (5 papers), Multilevel Inverters and Converters (5 papers) and Polysaccharides and Plant Cell Walls (5 papers). The work is most often cited by research in Urology (121 citations), Pollution (198 citations), Cancer Research (223 citations), Statistics and Probability (123 citations) and Computer Vision and Pattern Recognition (304 citations). Lisha Chen has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Andreas Buja, Jianhua Z. Huang, Rongjie Kang, Jian S. Dai, Hongbing Yao, David T. Branson, Pablo Bringas, Heike Hofmann, Nathaniel Dean and Michael L. Littman. Their work appears in journals such as Medicine, Scientific Reports, Journal of the American Statistical Association, Head & Neck and Chinese Chemical Letters.
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.