Jia Chen
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Artificial Intelligence top 10%
- Topic Modeling
- Neural Networks and Reservoir Computing
Papers in
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- Advanced Memory and Neural Computing 39
- Low-power high-performance VLSI design 2
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- Topic Modeling 4
- Domain Adaptation and Few-Shot Learning 3
- Adversarial Robustness in Machine Learning 2
- Neural Networks and Reservoir Computing 2
- Co-authors
- Yi Li (26 shared papers)Xiangshui Miao (14 shared papers)Yuhui He (11 shared papers)Ting‐Chang Chang (7 shared papers)Yue Zhang (4 shared papers)Xiangshui Miao (10 shared papers)Nian Duan (6 shared papers)George Zhou (1 shared paper)
- Journals
- Science Advances (4 papers)IEEE Transactions on Electron Devices (3 papers)IEEE Electron Device Letters (2 papers)Journal of Semiconductors (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jia Chen
60 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 91
- Electrical and Electronic Engineering 1.1k
- Artificial Intelligence 127
- Communication 30
- Hardware and Architecture 24
- Spectroscopy 33
Countries citing papers authored by Jia Chen
This map shows the geographic impact of Jia 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 Jia Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Chen more than expected).
Fields of papers citing papers by Jia Chen
This network shows the impact of papers produced by Jia 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 Jia Chen. The network helps show where Jia Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 120 | |
| 2 | 2018 | 112 | |
| 3 | 2019 | 95 | |
| 4 | 2007 | 91 | |
| 5 | 2021 | 91 | |
| 6 | 2020 | 67 | |
| 7 | 2021 | 66 | |
| 8 | 2019 | 64 | |
| 9 | 2020 | 64 | |
| 10 | 2016 | 59 | |
| 11 | 2023 | 55 | |
| 12 | 2020 | 49 | |
| 13 | 2019 | 48 | |
| 14 | 2022 | 42 | |
| 15 | 2020 | 41 | |
| 16 | 2023 | 40 | |
| 17 | 2020 | 33 | |
| 18 | 2023 | 29 | |
| 19 | 2018 | 27 | |
| 20 | 2018 | 25 |
About Jia Chen
Jia Chen is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Health, Toxicology and Mutagenesis, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (39 papers), Topic Modeling (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Neural Network Applications (3 papers), Biomedical Text Mining and Ontologies (2 papers), Adversarial Robustness in Machine Learning (2 papers), Low-power high-performance VLSI design (2 papers) and Neural Networks and Reservoir Computing (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.1k citations), Artificial Intelligence (127 citations), Communication (30 citations), Hardware and Architecture (24 citations) and Spectroscopy (33 citations). Jia Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yi Li, Xiangshui Miao, Yuhui He, Ting‐Chang Chang, Yue Zhang, Xiangshui Miao, Nian Duan, George Zhou, Chih-Yang Lin and Ying‐Chen Chen. Their work appears in journals such as Science Advances, IEEE Transactions on Electron Devices, IEEE Electron Device Letters, Journal of Semiconductors and Nature Communications.
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.