Yunong Zhang
- Control and Systems Engineering top 0.02%
- Robotic Mechanisms and Dynamics 258
- Adaptive Control of Nonlinear Systems 151
- Iterative Learning Control Systems 103
- Robot Manipulation and Learning 53
- Control Systems and Identification 38
- Control and Dynamics of Mobile Robots 37
- Computational Mathematics top 1%
- Artificial Intelligence top 0.1%
- Neural Networks and Applications 184
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- Robotic Path Planning Algorithms 47
- Statistical and Nonlinear Physics top 0.5%
- Journals
- PLoS ONE (1 paper)IEEE Transactions on Automatic Control (3 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Yunong Zhang
556 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Control and Systems Engineering 9.2k
- Computational Mathematics 90
- Artificial Intelligence 4.5k
- Computer Vision and Pattern Recognition 2.8k
- Statistical and Nonlinear Physics 1.2k
Countries citing papers authored by Yunong Zhang
This map shows the geographic impact of Yunong Zhang'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 Yunong Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunong Zhang more than expected).
Fields of papers citing papers by Yunong Zhang
This network shows the impact of papers produced by Yunong Zhang. 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 Yunong Zhang. The network helps show where Yunong Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yunong Zhang, 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 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 11 | |
| 12 | 2022 | 15 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 34 | |
| 15 | 2021 | 40 | |
| 16 | 2021 | 14 | |
| 17 | 2020 | 36 | |
| 18 | 2019 | 37 | |
| 19 | 2018 | 38 | |
| 20 | Weights and structure determination of Chebyshev-polynomial neural networks for pattern classification | 2012 | 2 |
About Yunong Zhang
Yunong Zhang is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 594 papers that have together received 12.9k indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (258 papers), Neural Networks and Applications (184 papers), Adaptive Control of Nonlinear Systems (151 papers), Iterative Learning Control Systems (103 papers), Robot Manipulation and Learning (53 papers), Robotic Path Planning Algorithms (47 papers), Control Systems and Identification (38 papers) and Control and Dynamics of Mobile Robots (37 papers). The work is most often cited by research in Control and Systems Engineering (9.2k citations), Computational Mathematics (90 citations) and Artificial Intelligence (4.5k citations). Yunong Zhang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Long Jin, Jun Wang, Dongsheng Guo, Shuai Li, Lin Xiao, Zhijun Zhang, Dechao Chen, Dongsheng Guo, Bolin Liao and Binbin Qiu. Their work appears in journals such as PLoS ONE, IEEE Transactions on Automatic Control and Scientific Reports.
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.