Jiayi Li
Impact in
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Reinforcement Learning in Robotics
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- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Metaheuristic Optimization Algorithms Research 11
- Evolutionary Algorithms and Applications 6
- Neural Networks and Reservoir Computing 4
- Reinforcement Learning in Robotics 4
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- Advanced Multi-Objective Optimization Algorithms 6
- Co-authors
- Shangce Gao (19 shared papers)Haichuan Yang (9 shared papers)Yirui Wang (5 shared papers)Qian Liu (1 shared paper)Bo Lü (1 shared paper)Xingyi Zhang (1 shared paper)Zhenyu Lei (5 shared papers)Ting Jin (1 shared paper)
- Journals
- IEEE Access (3 papers)Energy (2 papers)Engineering Applications of Artificial Intelligence (1 paper)Soft Computing (1 paper)Laser Physics Letters (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jiayi Li
36 papers receiving 295 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 179
- Computational Theory and Mathematics 51
- Management Science and Operations Research 26
- Energy Engineering and Power Technology 6
- Computational Mathematics 1
Countries citing papers authored by Jiayi Li
This map shows the geographic impact of Jiayi 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 Jiayi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiayi Li more than expected).
Fields of papers citing papers by Jiayi Li
This network shows the impact of papers produced by Jiayi 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 Jiayi Li. The network helps show where Jiayi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiayi 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 50 | |
| 2 | 2021 | 36 | |
| 3 | 2023 | 22 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 16 | |
| 6 | 2024 | 13 | |
| 7 | 2020 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2023 | 10 | |
| 11 | 2019 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2019 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2024 | 3 |
About Jiayi Li
Jiayi Li is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Sociology and Political Science and Management Science and Operations Research, having authored 43 papers that have together received 300 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (11 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Evolutionary Algorithms and Applications (6 papers), Neural Networks and Reservoir Computing (4 papers), Reinforcement Learning in Robotics (4 papers), Wind Energy Research and Development (4 papers), Impact of Technology on Adolescents (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Artificial Intelligence (179 citations), Computational Theory and Mathematics (51 citations), Management Science and Operations Research (26 citations), Energy Engineering and Power Technology (6 citations) and Computational Mathematics (1 citation). Jiayi Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Shangce Gao, Haichuan Yang, Yirui Wang, Qian Liu, Bo Lü, Xingyi Zhang, Zhenyu Lei, Ting Jin, Ziqian Wang and Yinghao Cai. Their work appears in journals such as IEEE Access, Energy, Engineering Applications of Artificial Intelligence, Soft Computing and Laser Physics 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.