Ruiqi Chen
Impact in
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- Advanced Battery Technologies Research
Papers in
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- Advanced Memory and Neural Computing 8
- CCD and CMOS Imaging Sensors 5
- Ferroelectric and Negative Capacitance Devices 4
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- Advanced Graph Neural Networks 5
- Neural Networks and Applications 4
- Co-authors
- Ming Ling (8 shared papers)Jiansheng Wu (2 shared papers)Shidi Tang (5 shared papers)Haifeng Hu (1 shared paper)Yijuan Li (1 shared paper)Shizhen Huang (7 shared papers)Hong Xiao (1 shared paper)Pan Xu (1 shared paper)
- Journals
- ACM Transactions on Reconfigurable Technology and Systems (2 papers)PeerJ Computer Science (2 papers)Japanese Journal of Applied Physics (2 papers)Mathematical Biosciences & Engineering (2 papers)Journal of Nanoscience and Nanotechnology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ruiqi Chen
53 papers receiving 548 citations
Peers
Comparison fields: 5 of 128
- Automotive Engineering 45
- Hardware and Architecture 20
- Electrical and Electronic Engineering 140
- Computational Theory and Mathematics 41
- Global and Planetary Change 49
Countries citing papers authored by Ruiqi Chen
This map shows the geographic impact of Ruiqi 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 Ruiqi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruiqi Chen more than expected).
Fields of papers citing papers by Ruiqi Chen
This network shows the impact of papers produced by Ruiqi 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 Ruiqi Chen. The network helps show where Ruiqi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruiqi 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 84 | |
| 2 | 2022 | 81 | |
| 3 | 2023 | 55 | |
| 4 | 2023 | 29 | |
| 5 | 2022 | 25 | |
| 6 | 2018 | 23 | |
| 7 | 2020 | 20 | |
| 8 | 2023 | 19 | |
| 9 | 2020 | 16 | |
| 10 | 2016 | 16 | |
| 11 | 2023 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2018 | 9 | |
| 18 | 2018 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2022 | 7 |
About Ruiqi Chen
Ruiqi Chen is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 559 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Advanced Neural Network Applications (6 papers), Advanced Graph Neural Networks (5 papers), Parallel Computing and Optimization Techniques (5 papers), CCD and CMOS Imaging Sensors (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Computational Drug Discovery Methods (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Automotive Engineering (45 citations), Hardware and Architecture (20 citations), Electrical and Electronic Engineering (140 citations), Computational Theory and Mathematics (41 citations) and Global and Planetary Change (49 citations). Ruiqi Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ming Ling, Jiansheng Wu, Shidi Tang, Haifeng Hu, Yijuan Li, Shizhen Huang, Hong Xiao, Pan Xu, Weitao Zheng and Shaoming Huang. Their work appears in journals such as ACM Transactions on Reconfigurable Technology and Systems, PeerJ Computer Science, Japanese Journal of Applied Physics, Mathematical Biosciences & Engineering and Journal of Nanoscience and Nanotechnology.
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.