Jun Zhou
Impact in
- Numerical Analysis top 5%
- Numerical methods for differential equations
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- Stability and Control of Uncertain Systems
- Control Systems and Identification
- Adaptive Control of Nonlinear Systems
Papers in
-
- Stability and Control of Uncertain Systems 21
- Control Systems and Identification 12
- Adaptive Control of Nonlinear Systems 11
- Co-authors
- Huimin Qian (20 shared papers)Tomomichi Hagiwara (15 shared papers)Bin Ding (1 shared paper)Qián Chen (2 shared papers)Chao Yin (2 shared papers)Mituhiko Araki (3 shared papers)Haoqian Huang (8 shared papers)Y. Ohsawa (1 shared paper)
- Journals
- International Journal of Control (8 papers)International Journal of Systems Science (5 papers)Neurocomputing (3 papers)SIAM Journal on Control and Optimization (3 papers)IET Control Theory and Applications (3 papers)
- Partner nations
- ChinaJapanBangladesh
In The Last Decade
Jun Zhou
108 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Numerical Analysis 113
- Control and Systems Engineering 483
- Computer Networks and Communications 266
- Statistical and Nonlinear Physics 135
- Artificial Intelligence 294
Countries citing papers authored by Jun Zhou
This map shows the geographic impact of Jun Zhou'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 Jun Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Zhou more than expected).
Fields of papers citing papers by Jun Zhou
This network shows the impact of papers produced by Jun Zhou. 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 Jun Zhou. The network helps show where Jun Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Zhou, 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 178 | |
| 2 | 2020 | 73 | |
| 3 | 2018 | 66 | |
| 4 | 2023 | 66 | |
| 5 | 2017 | 58 | |
| 6 | 2002 | 51 | |
| 7 | 2002 | 42 | |
| 8 | 2008 | 38 | |
| 9 | 2002 | 38 | |
| 10 | 2016 | 34 | |
| 11 | 2009 | 29 | |
| 12 | 2008 | 29 | |
| 13 | 2004 | 27 | |
| 14 | 2018 | 27 | |
| 15 | 2020 | 22 | |
| 16 | 2019 | 20 | |
| 17 | 2018 | 14 | |
| 18 | 2017 | 14 | |
| 19 | 2005 | 13 | |
| 20 | 2008 | 13 |
About Jun Zhou
Jun Zhou is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Numerical Analysis and Statistical and Nonlinear Physics, having authored 118 papers that have together received 1.2k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (21 papers), Numerical methods for differential equations (19 papers), Matrix Theory and Algorithms (17 papers), Control Systems and Identification (12 papers), Adaptive Control of Nonlinear Systems (11 papers), Distributed Control Multi-Agent Systems (11 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers) and Quantum chaos and dynamical systems (10 papers). The work is most often cited by research in Numerical Analysis (113 citations), Control and Systems Engineering (483 citations), Computer Networks and Communications (266 citations), Statistical and Nonlinear Physics (135 citations) and Artificial Intelligence (294 citations). Jun Zhou has collaborated with scholars based in China, Japan and Bangladesh. Frequent co-authors include Huimin Qian, Tomomichi Hagiwara, Bin Ding, Qián Chen, Chao Yin, Mituhiko Araki, Haoqian Huang, Y. Ohsawa, Zhaoxia Duan and M. Araki. Their work appears in journals such as International Journal of Control, International Journal of Systems Science, Neurocomputing, SIAM Journal on Control and Optimization and IET Control Theory and Applications.
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.