Zhonghua Wu
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- Adaptive Control of Nonlinear Systems 31
- Iterative Learning Control Systems 12
- Advanced Control Systems Optimization 7
- Fault Detection and Control Systems 5
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- Adaptive Dynamic Programming Control 9
- Aerospace Engineering top 10%
- Guidance and Control Systems 3
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- Distributed Control Multi-Agent Systems 6
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- Electromagnetic Compatibility and Noise Suppression 3
- Journals
- Journal of the Franklin Institute (3 papers)Neural Networks (1 paper)IEEE Transactions on Aerospace and Electronic Systems (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Zhonghua Wu
36 papers receiving 638 citations
Peers
Comparison fields: 5 of 35
- Control and Systems Engineering 526
- Computational Theory and Mathematics 152
- Aerospace Engineering 188
- Computer Networks and Communications 154
- Automotive Engineering 23
Countries citing papers authored by Zhonghua Wu
This map shows the geographic impact of Zhonghua Wu'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 Zhonghua Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhonghua Wu more than expected).
Fields of papers citing papers by Zhonghua Wu
This network shows the impact of papers produced by Zhonghua Wu. 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 Zhonghua Wu. The network helps show where Zhonghua Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhonghua Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 63 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 46 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 50 | |
| 15 | 2020 | 42 | |
| 16 | 2019 | 85 | |
| 17 | 2017 | 13 | |
| 18 | 2017 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2015 | 35 |
About Zhonghua Wu
Zhonghua Wu is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Instrumentation, having authored 37 papers that have together received 648 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (31 papers), Iterative Learning Control Systems (12 papers), Adaptive Dynamic Programming Control (9 papers), Advanced Control Systems Optimization (7 papers), Distributed Control Multi-Agent Systems (6 papers), Fault Detection and Control Systems (5 papers), Guidance and Control Systems (3 papers) and Electromagnetic Compatibility and Noise Suppression (3 papers). The work is most often cited by research in Control and Systems Engineering (526 citations), Computational Theory and Mathematics (152 citations) and Aerospace Engineering (188 citations). Zhonghua Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Junkang Ni, Bojun Liu, Jingping Shi, Xuhui Bu, Mingshan Hou, Ling Liu, Chongxin Liu, Xiangwei Bu, Changchun Hua and Maolong Lv. Their work appears in journals such as Journal of the Franklin Institute, Neural Networks and IEEE Transactions on Aerospace and Electronic Systems.
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.