Dan Jiang
Impact in
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- Adaptive Control of Nonlinear Systems
- Advanced Sensor and Control Systems
- Mechanical Engineering top 5%
- Hydraulic and Pneumatic Systems
- Cellular and Composite Structures
Papers in
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- Hydraulic and Pneumatic Systems 31
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- Advanced Sensor and Control Systems 11
- Adaptive Control of Nonlinear Systems 4
- Machine Fault Diagnosis Techniques 4
- Co-authors
- Qing Guo (30 shared papers)Yu Tian (6 shared papers)Songjing Li (8 shared papers)Xiaofei Tian (2 shared papers)Zhen Fang (2 shared papers)Yao Yan (8 shared papers)Tongchao Su (2 shared papers)Zhenlei Chen (6 shared papers)
- Journals
- ISA Transactions (5 papers)Applied Sciences (2 papers)IEEE Access (2 papers)Scientific Reports (2 papers)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Dan Jiang
67 papers receiving 977 citations
Peers
Comparison fields: 5 of 109
- Control and Systems Engineering 420
- Mechanical Engineering 486
- Rehabilitation 45
- Biomedical Engineering 235
- Ocean Engineering 82
Countries citing papers authored by Dan Jiang
This map shows the geographic impact of Dan Jiang'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 Dan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Jiang more than expected).
Fields of papers citing papers by Dan Jiang
This network shows the impact of papers produced by Dan Jiang. 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 Dan Jiang. The network helps show where Dan Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Jiang, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 86 | |
| 2 | 2015 | 73 | |
| 3 | 2022 | 64 | |
| 4 | 2016 | 56 | |
| 5 | 2016 | 50 | |
| 6 | 2015 | 47 | |
| 7 | 2022 | 41 | |
| 8 | 2011 | 37 | |
| 9 | 2021 | 34 | |
| 10 | 2024 | 33 | |
| 11 | 2017 | 32 | |
| 12 | 2015 | 29 | |
| 13 | 2020 | 29 | |
| 14 | 2015 | 27 | |
| 15 | 2018 | 24 | |
| 16 | 2020 | 24 | |
| 17 | 2018 | 24 | |
| 18 | 2022 | 17 | |
| 19 | 2018 | 15 | |
| 20 | 2017 | 15 |
About Dan Jiang
Dan Jiang is a scholar working on Mechanical Engineering, Control and Systems Engineering, Biomedical Engineering, Civil and Structural Engineering and Electrical and Electronic Engineering, having authored 71 papers that have together received 989 indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (31 papers), Advanced Sensor and Control Systems (11 papers), Water Systems and Optimization (10 papers), Muscle activation and electromyography studies (7 papers), Prosthetics and Rehabilitation Robotics (7 papers), Cavitation Phenomena in Pumps (5 papers), Adaptive Control of Nonlinear Systems (4 papers) and Machine Fault Diagnosis Techniques (4 papers). The work is most often cited by research in Control and Systems Engineering (420 citations), Mechanical Engineering (486 citations), Rehabilitation (45 citations), Biomedical Engineering (235 citations) and Ocean Engineering (82 citations). Dan Jiang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Qing Guo, Yu Tian, Songjing Li, Xiaofei Tian, Zhen Fang, Yao Yan, Tongchao Su, Zhenlei Chen, Yi Min Xie and Liang-Jiu Jia. Their work appears in journals such as ISA Transactions, Applied Sciences, IEEE Access, Scientific Reports and Neurocomputing.
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.