Tingwen Huang
- Computer Networks and Communications top 0.01%
- Control and Systems Engineering top 0.01%
- Electrical and Electronic Engineering top 0.1%
- Statistical and Nonlinear Physics top 0.01%
- Artificial Intelligence top 0.05%
- Co-authors
- Chuandong LiZhigang ZengHuai‐Ning WuShiping WenHuaqing LiJin-Liang WangChaojie LiXinghuo Yu
- Topics
- Neural Networks Stability and Synchronization (513 papers)Distributed Control Multi-Agent Systems (290 papers)Advanced Memory and Neural Computing (192 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsControl and Systems Engineering
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Automatic Control
In The Last Decade
Tingwen Huang
990 papers receiving 37.5k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Computer Networks and Communications 23.6k
- Control and Systems Engineering 12.5k
- Electrical and Electronic Engineering 10.3k
- Statistical and Nonlinear Physics 9.1k
- Artificial Intelligence 7.5k
Countries citing papers authored by Tingwen Huang
This map shows the geographic impact of Tingwen Huang'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 Tingwen Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingwen Huang more than expected).
Fields of papers citing papers by Tingwen Huang
This network shows the impact of papers produced by Tingwen Huang. 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 Tingwen Huang. The network helps show where Tingwen Huang may publish in the future.
Co-authorship network of co-authors of Tingwen Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Tingwen Huang. A scholar is included among the top collaborators of Tingwen Huang 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 Tingwen Huang. Tingwen Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 6 | |
| 10 | 16 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 36 | |
| 17 | 61 | |
| 18 | 109 | |
| 19 | 44 | |
| 20 | 99 |
About Tingwen Huang
Tingwen Huang is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 1.1k papers that have together received 38.0k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (513 papers), Distributed Control Multi-Agent Systems (290 papers) and Advanced Memory and Neural Computing (192 papers). The work is most often cited by research in Computer Networks and Communications (23.6k citations), Statistical and Nonlinear Physics (9.1k citations) and Control and Systems Engineering (12.5k citations). Tingwen Huang has collaborated with scholars based in China, Qatar and Australia. Frequent co-authors include Chuandong Li, Zhigang Zeng, Huai‐Ning Wu, Shiping Wen, Huaqing Li, Jin-Liang Wang, Chaojie Li, Xinghuo Yu, Shiping Wen and Xing He. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.
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.