Jingchen Li
Impact in
- Water Science and Technology top 5%
- Advanced oxidation water treatment
- Pollution top 5%
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
-
- Reinforcement Learning in Robotics 15
- Neural Networks and Reservoir Computing 3
-
- Advanced Neural Network Applications 4
- Co-authors
- Lin Zhao (5 shared papers)Haobin Shi (26 shared papers)Peizhe Sun (4 shared papers)Kao‐Shing Hwang (18 shared papers)Ching‐Hua Huang (2 shared papers)Mingbao Feng (1 shared paper)Yongkui Yang (3 shared papers)Ruochun Zhang (3 shared papers)
- Journals
- Information Sciences (3 papers)International Journal of Fuzzy Systems (3 papers)Neural Computing and Applications (3 papers)IEEE Transactions on Cognitive and Developmental Systems (2 papers)Knowledge-Based Systems (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Jingchen Li
46 papers receiving 796 citations
Peers
Comparison fields: 5 of 132
- Water Science and Technology 177
- Pollution 146
- Renewable Energy, Sustainability and the Environment 151
- Industrial and Manufacturing Engineering 60
- Neurology 52
Countries citing papers authored by Jingchen Li
This map shows the geographic impact of Jingchen Li'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 Jingchen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingchen Li more than expected).
Fields of papers citing papers by Jingchen Li
This network shows the impact of papers produced by Jingchen Li. 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 Jingchen Li. The network helps show where Jingchen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingchen Li, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 155 | |
| 2 | 2021 | 83 | |
| 3 | 2016 | 80 | |
| 4 | 2019 | 76 | |
| 5 | 2017 | 49 | |
| 6 | 2018 | 43 | |
| 7 | 2021 | 41 | |
| 8 | 2023 | 37 | |
| 9 | 2020 | 25 | |
| 10 | 2021 | 22 | |
| 11 | 2022 | 21 | |
| 12 | 2021 | 20 | |
| 13 | 2021 | 17 | |
| 14 | 2023 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2024 | 7 |
About Jingchen Li
Jingchen Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Pollution, Control and Systems Engineering and Computational Theory and Mathematics, having authored 52 papers that have together received 809 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (15 papers), Adaptive Dynamic Programming Control (5 papers), Advanced Neural Network Applications (4 papers), Advanced oxidation water treatment (4 papers), Neural Networks and Reservoir Computing (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), IoT and Edge/Fog Computing (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Water Science and Technology (177 citations), Pollution (146 citations), Renewable Energy, Sustainability and the Environment (151 citations), Industrial and Manufacturing Engineering (60 citations) and Neurology (52 citations). Jingchen Li has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Lin Zhao, Haobin Shi, Peizhe Sun, Kao‐Shing Hwang, Ching‐Hua Huang, Mingbao Feng, Yongkui Yang, Ruochun Zhang, Lin Zhao and Huijie Hou. Their work appears in journals such as Information Sciences, International Journal of Fuzzy Systems, Neural Computing and Applications, IEEE Transactions on Cognitive and Developmental Systems and Knowledge-Based Systems.
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.