Minne Li
Impact in
- Automotive Engineering top 5%
- Transportation and Mobility Innovations
- Transportation top 5%
- Transportation Planning and Optimization
Papers in
- Co-authors
- Yaodong Yang (3 shared papers)Guobin Wu (1 shared paper)Zhiwei Qin (1 shared paper)Jun Wang (1 shared paper)Jieping Ye (1 shared paper)Chenxi Wang (1 shared paper)Yan Jiao (1 shared paper)Weinan Zhang (2 shared papers)
- Journals
- Animals (1 paper)Frontiers in Physiology (1 paper)Neural Networks (1 paper)Frontiers of Information Technology & Electronic Engineering (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Minne Li
9 papers receiving 283 citations
Peers
Comparison fields: 5 of 49
- Automotive Engineering 140
- Transportation 68
- Marketing 47
- Building and Construction 47
- Artificial Intelligence 80
Countries citing papers authored by Minne Li
This map shows the geographic impact of Minne 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 Minne Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minne Li more than expected).
Fields of papers citing papers by Minne Li
This network shows the impact of papers produced by Minne 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 Minne Li. The network helps show where Minne Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Minne 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 171 | |
| 2 | 2020 | 46 | |
| 3 | Mean Field Multi-Agent Reinforcement Learning | 2018 | 45 |
| 4 | 2022 | 15 | |
| 5 | 2016 | 6 | |
| 6 | 2023 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2016 | 1 | |
| 10 | 2023 | 0 | |
| 11 | Optimizing Object-based Perception and Control by Free-Energy Principle. | 2019 | 0 |
| 12 | 2018 | 0 |
About Minne Li
Minne Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Nature and Landscape Conservation and Ecology, having authored 12 papers that have together received 293 indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (2 papers), Adaptive Dynamic Programming Control (2 papers), High Altitude and Hypoxia (1 paper), Transportation and Mobility Innovations (1 paper), Smart Parking Systems Research (1 paper), Game Theory and Applications (1 paper), Fish biology, ecology, and behavior (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Automotive Engineering (140 citations), Transportation (68 citations), Marketing (47 citations), Building and Construction (47 citations) and Artificial Intelligence (80 citations). Minne Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yaodong Yang, Guobin Wu, Zhiwei Qin, Jun Wang, Jieping Ye, Chenxi Wang, Yan Jiao, Weinan Zhang, Rui Luo and Jun Wang. Their work appears in journals such as Animals, Frontiers in Physiology, Neural Networks, Frontiers of Information Technology & Electronic Engineering and Proceedings of the AAAI Conference on Artificial Intelligence.
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.