Pu Yang
Impact in
-
- Adaptive Control of Nonlinear Systems
- Fault Detection and Control Systems
- Human-Computer Interaction top 10%
Papers in
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- Adaptive Control of Nonlinear Systems 34
- Fault Detection and Control Systems 22
- Advanced Control Systems Optimization 9
- Stability and Control of Uncertain Systems 7
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- Distributed Control Multi-Agent Systems 13
- Neural Networks Stability and Synchronization 8
- Co-authors
- David L. Roberts (6 shared papers)Brent E. Harrison (1 shared paper)Rita Brugarolas (3 shared papers)Barbara L. Sherman (3 shared papers)Alper Y. Bozkurt (3 shared papers)Tao Li (2 shared papers)Sean P. Mealin (2 shared papers)Ben Ma (2 shared papers)
- Journals
- Energies (2 papers)International Journal of Automation Technology (2 papers)Neurocomputing (2 papers)IEEE Intelligent Systems (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Pu Yang
67 papers receiving 663 citations
Peers
Comparison fields: 5 of 100
- Control and Systems Engineering 258
- Human-Computer Interaction 41
- Computer Networks and Communications 138
- Small Animals 38
- Artificial Intelligence 134
Countries citing papers authored by Pu Yang
This map shows the geographic impact of Pu Yang'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 Pu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Yang more than expected).
Fields of papers citing papers by Pu Yang
This network shows the impact of papers produced by Pu Yang. 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 Pu Yang. The network helps show where Pu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu Yang, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identifying patterns in combat that are predictive of success in MOBA games. | 2014 | 70 |
| 2 | 2014 | 63 | |
| 3 | 2013 | 46 | |
| 4 | 2018 | 31 | |
| 5 | 2012 | 31 | |
| 6 | 2021 | 30 | |
| 7 | 2021 | 28 | |
| 8 | 2016 | 26 | |
| 9 | 2021 | 26 | |
| 10 | 2018 | 24 | |
| 11 | 2019 | 23 | |
| 12 | 2021 | 19 | |
| 13 | 2022 | 17 | |
| 14 | 2017 | 16 | |
| 15 | 2014 | 15 | |
| 16 | 2023 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2021 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2020 | 8 |
About Pu Yang
Pu Yang is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Aerospace Engineering, Computational Theory and Mathematics and Artificial Intelligence, having authored 73 papers that have together received 687 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (34 papers), Fault Detection and Control Systems (22 papers), Distributed Control Multi-Agent Systems (13 papers), Advanced Control Systems Optimization (9 papers), Neural Networks Stability and Synchronization (8 papers), Stability and Control of Uncertain Systems (7 papers), Guidance and Control Systems (6 papers) and Adaptive Dynamic Programming Control (5 papers). The work is most often cited by research in Control and Systems Engineering (258 citations), Human-Computer Interaction (41 citations), Computer Networks and Communications (138 citations), Small Animals (38 citations) and Artificial Intelligence (134 citations). Pu Yang has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include David L. Roberts, Brent E. Harrison, Rita Brugarolas, Barbara L. Sherman, Alper Y. Bozkurt, Tao Li, Sean P. Mealin, Ben Ma, Yan Dong and Shumin Fei. Their work appears in journals such as Energies, International Journal of Automation Technology, Neurocomputing, IEEE Intelligent Systems and IEEE Access.
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.