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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- Advanced Sensor and Control Systems 11
- Industrial Technology and Control Systems 4
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- Hydraulic and Pneumatic Systems 32
- Co-authors
- Qing Juan Guo (34 shared papers)Yu Tian (6 shared papers)Songjing Li (8 shared papers)Xiaofei Tian (2 shared papers)Zhen Yu Fang (2 shared papers)Tongchao Su (2 shared papers)Yao Yan (8 shared papers)Zhenlei Chen (6 shared papers)
- Journals
- ISA Transactions (5 papers)Science China Life Sciences (2 papers)IEEE Access (2 papers)Applied Sciences (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Dan Jiang
74 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 129
- Control and Systems Engineering 427
- Mechanical Engineering 512
- Rehabilitation 50
- Biomedical Engineering 268
- Ocean Engineering 86
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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 92 | |
| 2 | 2015 | 79 | |
| 3 | 2019 | 77 | |
| 4 | 2020 | 76 | |
| 5 | 2022 | 67 | |
| 6 | 2016 | 60 | |
| 7 | 2016 | 53 | |
| 8 | 2015 | 48 | |
| 9 | 2022 | 43 | |
| 10 | 2011 | 39 | |
| 11 | 2021 | 37 | |
| 12 | 2024 | 37 | |
| 13 | 2017 | 32 | |
| 14 | 2020 | 30 | |
| 15 | 2015 | 30 | |
| 16 | 2015 | 27 | |
| 17 | 2020 | 25 | |
| 18 | 2018 | 25 | |
| 19 | 2018 | 24 | |
| 20 | 2006 | 23 |
About Dan Jiang
Dan Jiang is a scholar working on Control and Systems Engineering, Mechanical Engineering, Civil and Structural Engineering, Rehabilitation and Biomedical Engineering, having authored 81 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (32 papers), Advanced Sensor and Control Systems (11 papers), Water Systems and Optimization (10 papers), Prosthetics and Rehabilitation Robotics (9 papers), Muscle activation and electromyography studies (8 papers), Cavitation Phenomena in Pumps (5 papers), Stroke Rehabilitation and Recovery (5 papers) and Industrial Technology and Control Systems (4 papers). The work is most often cited by research in Control and Systems Engineering (427 citations), Mechanical Engineering (512 citations), Rehabilitation (50 citations), Biomedical Engineering (268 citations) and Ocean Engineering (86 citations). Dan Jiang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Qing Juan Guo, Yu Tian, Songjing Li, Xiaofei Tian, Zhen Yu Fang, Tongchao Su, Yao Yan, Zhenlei Chen, Ping Bo Sun and Yu Chen. Their work appears in journals such as ISA Transactions, Science China Life Sciences, IEEE Access, Applied Sciences 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.