Haikuo Shen
- Control and Systems Engineering top 10%
- Adaptive Control of Nonlinear Systems 9
- Robotic Mechanisms and Dynamics 2
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- Hydraulic and Pneumatic Systems 3
- Gear and Bearing Dynamics Analysis 2
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- Adaptive Dynamic Programming Control 4
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- Distributed Control Multi-Agent Systems 4
- Neural Networks Stability and Synchronization 3
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- Reinforcement Learning in Robotics 2
- Co-authors
- Kaihua ZhangLijing DongHuanqing WangTianyang WangBo JinWei YangYing ChenHongfei Fu
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringMechanical Engineering
In The Last Decade
Haikuo Shen
28 papers receiving 268 citations
Peers
Comparison fields: 5 of 54
- Industrial and Manufacturing Engineering 57
- Control and Systems Engineering 84
- Mechanical Engineering 111
- Computer Vision and Pattern Recognition 51
- Media Technology 18
Countries citing papers authored by Haikuo Shen
This map shows the geographic impact of Haikuo Shen'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 Haikuo Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haikuo Shen more than expected).
Fields of papers citing papers by Haikuo Shen
This network shows the impact of papers produced by Haikuo Shen. 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 Haikuo Shen. The network helps show where Haikuo Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haikuo Shen, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 17 | |
| 5 | 2024 | 26 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 20 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 31 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2021 | 40 | |
| 16 | 2021 | 7 | |
| 17 | 2020 | 4 | |
| 18 | 2018 | 20 | |
| 19 | 2016 | 3 | |
| 20 | 2016 | 1 |
About Haikuo Shen
Haikuo Shen is a scholar working on General Engineering, Control and Systems Engineering and Metals and Alloys, having authored 30 papers that have together received 279 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (9 papers), Adaptive Dynamic Programming Control (4 papers), Distributed Control Multi-Agent Systems (4 papers), Neural Networks Stability and Synchronization (3 papers), Hydraulic and Pneumatic Systems (3 papers), Gear and Bearing Dynamics Analysis (2 papers), Robotic Mechanisms and Dynamics (2 papers) and Reinforcement Learning in Robotics (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (57 citations), Control and Systems Engineering (84 citations) and Mechanical Engineering (111 citations). Haikuo Shen has collaborated with scholars based in China, Canada and Pakistan. Frequent co-authors include Kaihua Zhang, Lijing Dong, Huanqing Wang, Tianyang Wang, Bo Jin, Wei Yang, Ying Chen, Hongfei Fu, Chao Cheng and Xue‐Jun Xie. Their work appears in journals such as International Journal of Adaptive Control and Signal Processing, Applied Sciences, Acta Astronautica, Measurement and International Journal of Machine Learning and Cybernetics.
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.