Han Chen
Impact in
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- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
Papers in
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- Iterative Learning Control Systems 7
- Power Systems Fault Detection 3
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- Power System Optimization and Stability 7
- High-Voltage Power Transmission Systems 5
- HVDC Systems and Fault Protection 4
- Multilevel Inverters and Converters 3
- Co-authors
- Haihua Mu (7 shared papers)Wei Teng (2 shared papers)Yibing Liu (2 shared papers)Hao Cheng (1 shared paper)Xian Long Ding (1 shared paper)Dalu Li (5 shared papers)Yu Zhu (5 shared papers)Yi You (3 shared papers)
- Journals
- Neuron (1 paper)Urban forestry & urban greening (1 paper)International Journal of Biometeorology (1 paper)Image and Vision Computing (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Han Chen
50 papers receiving 425 citations
Peers
Comparison fields: 5 of 90
- Control and Systems Engineering 190
- Developmental Neuroscience 15
- Mechanical Engineering 142
- Neurology 25
- Signal Processing 26
Countries citing papers authored by Han Chen
This map shows the geographic impact of Han Chen'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 Han Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Chen more than expected).
Fields of papers citing papers by Han Chen
This network shows the impact of papers produced by Han Chen. 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 Han Chen. The network helps show where Han Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Chen, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 113 | |
| 2 | 2019 | 34 | |
| 3 | 2020 | 32 | |
| 4 | 2022 | 20 | |
| 5 | 2020 | 19 | |
| 6 | 2021 | 19 | |
| 7 | 2019 | 17 | |
| 8 | 2019 | 17 | |
| 9 | 2022 | 14 | |
| 10 | 2015 | 12 | |
| 11 | 2023 | 10 | |
| 12 | 2015 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2016 | 8 | |
| 15 | 2009 | 8 | |
| 16 | 2013 | 7 | |
| 17 | 2010 | 7 | |
| 18 | 2009 | 6 | |
| 19 | 2007 | 6 | |
| 20 | 2018 | 6 |
About Han Chen
Han Chen is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Signal Processing, Mechanical Engineering and Automotive Engineering, having authored 56 papers that have together received 434 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (7 papers), Power System Optimization and Stability (7 papers), High-Voltage Power Transmission Systems (5 papers), HVDC Systems and Fault Protection (4 papers), Advanced Adaptive Filtering Techniques (4 papers), Hydraulic and Pneumatic Systems (4 papers), Multilevel Inverters and Converters (3 papers) and Power Systems Fault Detection (3 papers). The work is most often cited by research in Control and Systems Engineering (190 citations), Developmental Neuroscience (15 citations), Mechanical Engineering (142 citations), Neurology (25 citations) and Signal Processing (26 citations). Han Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Haihua Mu, Wei Teng, Yibing Liu, Hao Cheng, Xian Long Ding, Dalu Li, Yu Zhu, Yi You, Zhong Chen and Lei Song. Their work appears in journals such as Neuron, Urban forestry & urban greening, International Journal of Biometeorology, Image and Vision Computing and IEEE Access.
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.