Dan Chen
Impact in
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
Papers in
-
- Advanced Memory and Neural Computing 4
- Ferroelectric and Negative Capacitance Devices 4
- Electrochemical sensors and biosensors 2
-
- Advanced Graph Neural Networks 3
- Co-authors
- Dale E. Seborg (1 shared paper)Jiwu Lu (1 shared paper)Tianqi Liu (1 shared paper)Ji Wu (1 shared paper)Jinhao Meng (1 shared paper)Ping Liu (1 shared paper)Hui Li (1 shared paper)Jie Xie (1 shared paper)
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (3 papers)Acta Physico-Chimica Sinica (1 paper)International Journal of Surgery (1 paper)Renal Failure (1 paper)Orthopaedic Journal of Sports Medicine (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Dan Chen
38 papers receiving 541 citations
Peers
Comparison fields: 5 of 122
- Automotive Engineering 84
- Electrochemistry 27
- Control and Systems Engineering 98
- Safety, Risk, Reliability and Quality 35
- Hardware and Architecture 20
Countries citing papers authored by Dan Chen
This map shows the geographic impact of Dan 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 Dan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Chen more than expected).
Fields of papers citing papers by Dan Chen
This network shows the impact of papers produced by Dan 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 Dan Chen. The network helps show where Dan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 85 | |
| 2 | 2002 | 69 | |
| 3 | 2022 | 53 | |
| 4 | 2012 | 51 | |
| 5 | 2024 | 30 | |
| 6 | 2020 | 28 | |
| 7 | 2013 | 24 | |
| 8 | 2024 | 20 | |
| 9 | 2021 | 19 | |
| 10 | 2019 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2019 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2015 | 13 | |
| 16 | 2013 | 13 | |
| 17 | 2022 | 10 | |
| 18 | 2023 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2023 | 6 |
About Dan Chen
Dan Chen is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanical Engineering and Materials Chemistry, having authored 41 papers that have together received 558 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (4 papers), Advanced Memory and Neural Computing (4 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Caching and Content Delivery (3 papers), Parallel Computing and Optimization Techniques (3 papers), Advanced Graph Neural Networks (3 papers), Electrochemical sensors and biosensors (2 papers) and High-Temperature Coating Behaviors (2 papers). The work is most often cited by research in Automotive Engineering (84 citations), Electrochemistry (27 citations), Control and Systems Engineering (98 citations), Safety, Risk, Reliability and Quality (35 citations) and Hardware and Architecture (20 citations). Dan Chen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Dale E. Seborg, Jiwu Lu, Tianqi Liu, Ji Wu, Jinhao Meng, Ping Liu, Hui Li, Jie Xie, Yu Huang and Huamin Zhou. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Acta Physico-Chimica Sinica, International Journal of Surgery, Renal Failure and Orthopaedic Journal of Sports Medicine.
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.