Engang Tian
- Control and Systems Engineering top 0.05%
- Computer Networks and Communications top 0.1%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 0.5%
- Topics
- Stability and Control of Uncertain Systems (126 papers)Neural Networks Stability and Synchronization (83 papers)Distributed Control Multi-Agent Systems (54 papers)
- Cited by
- Control and Systems EngineeringComputer Networks and CommunicationsStatistical and Nonlinear Physics
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Engang Tian
236 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Control and Systems Engineering 7.2k
- Computer Networks and Communications 5.9k
- Electrical and Electronic Engineering 1.4k
- Artificial Intelligence 865
- Computational Theory and Mathematics 670
Countries citing papers authored by Engang Tian
This map shows the geographic impact of Engang Tian'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 Engang Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Engang Tian more than expected).
Fields of papers citing papers by Engang Tian
This network shows the impact of papers produced by Engang Tian. 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 Engang Tian. The network helps show where Engang Tian may publish in the future.
Co-authorship network of co-authors of Engang Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Engang Tian. A scholar is included among the top collaborators of Engang Tian 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 Engang Tian. Engang Tian 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 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 38 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 22 | |
| 19 | 18 | |
| 20 | Reliable H ∞ filter design for nonlinear networked control systems with probabilistic sensor failure | 4 |
About Engang Tian
Engang Tian is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Neurology, having authored 265 papers that have together received 9.1k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (126 papers), Neural Networks Stability and Synchronization (83 papers) and Distributed Control Multi-Agent Systems (54 papers). The work is most often cited by research in Control and Systems Engineering (7.2k citations), Computer Networks and Communications (5.9k citations) and Statistical and Nonlinear Physics (586 citations). Engang Tian has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Dong Yue, Chen Peng, Jinliang Liu, Qing‐Long Han, Xiangpeng Xie, Yijun Zhang, Zhou Gu, Zidong Wang, Lijuan Zha and Shumin Fei. Their work appears in journals such as PLoS ONE, IEEE Transactions on Automatic Control and IEEE Transactions on Industrial Electronics.
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.