Hongliang Li
- Computational Theory and Mathematics top 0.2%
- Control and Systems Engineering top 1%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Co-authors
- Derong LiuDing WangHongwen MaXiong YangFei‐Yue WangBiao LuoPengfei YanChao Li
- Topics
- Adaptive Dynamic Programming Control (26 papers)Adaptive Control of Nonlinear Systems (16 papers)Reinforcement Learning in Robotics (11 papers)
- Journals
- Information SciencesIEEE Transactions on CyberneticsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- China
In The Last Decade
Hongliang Li
25 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 60
- Computational Theory and Mathematics 1.4k
- Control and Systems Engineering 959
- Artificial Intelligence 656
- Electrical and Electronic Engineering 427
- Biomedical Engineering 310
Countries citing papers authored by Hongliang Li
This map shows the geographic impact of Hongliang 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 Hongliang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongliang Li more than expected).
Fields of papers citing papers by Hongliang Li
This network shows the impact of papers produced by Hongliang 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 Hongliang Li. The network helps show where Hongliang Li may publish in the future.
Co-authorship network of co-authors of Hongliang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Hongliang Li. A scholar is included among the top collaborators of Hongliang Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hongliang Li. Hongliang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 24 | |
| 3 | 53 | |
| 4 | 2 | |
| 5 | 45 | |
| 6 | 129 | |
| 7 | 0 | |
| 8 | 170 | |
| 9 | 1 | |
| 10 | 21 | |
| 11 | 3 | |
| 12 | 235 | |
| 13 | 180 | |
| 14 | 270 | |
| 15 | 26 | |
| 16 | A learning optimal control scheme for robust stabilization of a class of uncertain nonlinear systems | 2 |
| 17 | 0 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 6 |
About Hongliang Li
Hongliang Li is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Artificial Intelligence, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adaptive Dynamic Programming Control (26 papers), Adaptive Control of Nonlinear Systems (16 papers) and Reinforcement Learning in Robotics (11 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Control and Systems Engineering (959 citations) and Artificial Intelligence (656 citations). Hongliang Li has collaborated with scholars based in China. Frequent co-authors include Derong Liu, Ding Wang, Hongwen Ma, Xiong Yang, Fei‐Yue Wang, Biao Luo, Ding Wang, Pengfei Yan and Chao Li. Their work appears in journals such as Information Sciences, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning 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.