Xing He
Impact in
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- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
- Nonlinear Dynamics and Pattern Formation
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- stochastic dynamics and bifurcation
Papers in
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- Neural Networks Stability and Synchronization 37
- Distributed Control Multi-Agent Systems 25
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- Neural Networks and Applications 29
- Machine Learning and ELM 10
- Co-authors
- Tingwen Huang (53 shared papers)Chuandong Li (44 shared papers)Chaojie Li (18 shared papers)Junjian Huang (16 shared papers)Junzhi Yu (12 shared papers)Yushu Zhang (10 shared papers)Xinghuo Yu (3 shared papers)You Zhao (11 shared papers)
In The Last Decade
Xing He
145 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 101
- Computer Networks and Communications 1.3k
- Statistical and Nonlinear Physics 599
- Control and Systems Engineering 745
- Acoustics and Ultrasonics 29
- Computer Vision and Pattern Recognition 436
Countries citing papers authored by Xing He
This map shows the geographic impact of Xing He'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 Xing He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing He more than expected).
Fields of papers citing papers by Xing He
This network shows the impact of papers produced by Xing He. 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 Xing He. The network helps show where Xing He may publish in the future.
Co-authors
The 25 scholars most cited alongside Xing He, 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 189 | |
| 2 | 2016 | 148 | |
| 3 | 2017 | 136 | |
| 4 | 2015 | 119 | |
| 5 | 2015 | 111 | |
| 6 | 2013 | 99 | |
| 7 | 2016 | 96 | |
| 8 | 2012 | 90 | |
| 9 | 2016 | 89 | |
| 10 | 2019 | 85 | |
| 11 | 2014 | 73 | |
| 12 | 2017 | 64 | |
| 13 | 2018 | 52 | |
| 14 | 2017 | 52 | |
| 15 | 2013 | 48 | |
| 16 | 2017 | 45 | |
| 17 | 2013 | 44 | |
| 18 | 2018 | 41 | |
| 19 | 2013 | 40 | |
| 20 | 2012 | 39 |
About Xing He
Xing He is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering and Computational Mechanics, having authored 152 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (37 papers), Sparse and Compressive Sensing Techniques (32 papers), Neural Networks and Applications (29 papers), Distributed Control Multi-Agent Systems (25 papers), Advanced Memory and Neural Computing (12 papers), stochastic dynamics and bifurcation (12 papers), Microgrid Control and Optimization (11 papers) and Machine Learning and ELM (10 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Statistical and Nonlinear Physics (599 citations), Control and Systems Engineering (745 citations), Acoustics and Ultrasonics (29 citations) and Computer Vision and Pattern Recognition (436 citations). Xing He has collaborated with scholars based in China, Qatar and Australia. Frequent co-authors include Tingwen Huang, Chuandong Li, Chaojie Li, Junjian Huang, Junzhi Yu, Yushu Zhang, Xinghuo Yu, You Zhao, Leo Yu Zhang and Yonglu Shu. Their work appears in journals such as Neural Networks, Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems, Neural Computing and Applications and IEEE Transactions on Circuits & Systems II Express Briefs.
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.