Chongyan Chen
Impact in
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- scientometrics and bibliometrics research
Papers in
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- Electrochemical Analysis and Applications 3
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- Electrodeposition and Electroless Coatings 6
- Co-authors
- Danna Gurari (4 shared papers)Samreen Anjum (2 shared papers)Ying Ding (4 shared papers)Yifan Peng (3 shared papers)Ahmed H. Tewfik (3 shared papers)Chengjuan Fan (2 shared papers)Dequan Wu (2 shared papers)Lifeng Ding (6 shared papers)
- Journals
- Journal of Applied Electrochemistry (3 papers)Journal of Alloys and Compounds (2 papers)Green Chemistry (1 paper)Scientometrics (1 paper)World Journal of Gastroenterology (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Chongyan Chen
24 papers receiving 323 citations
Peers
Comparison fields: 5 of 96
- Health Informatics 8
- Statistics, Probability and Uncertainty 23
- Radiology, Nuclear Medicine and Imaging 51
- Internal Medicine 7
- Artificial Intelligence 67
Countries citing papers authored by Chongyan Chen
This map shows the geographic impact of Chongyan 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 Chongyan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chongyan Chen more than expected).
Fields of papers citing papers by Chongyan Chen
This network shows the impact of papers produced by Chongyan 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 Chongyan Chen. The network helps show where Chongyan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chongyan 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 37 | |
| 2 | 2022 | 36 | |
| 3 | 2021 | 36 | |
| 4 | 2021 | 32 | |
| 5 | 2019 | 29 | |
| 6 | 2019 | 28 | |
| 7 | 2012 | 23 | |
| 8 | 2022 | 17 | |
| 9 | 2021 | 17 | |
| 10 | 2020 | 12 | |
| 11 | 2018 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2013 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2024 | 3 |
About Chongyan Chen
Chongyan Chen is a scholar working on Electrochemistry, Electrical and Electronic Engineering, Statistics, Probability and Uncertainty, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 332 indexed citations. Recurring topics across this work include Electrodeposition and Electroless Coatings (6 papers), Domain Adaptation and Few-Shot Learning (3 papers), COVID-19 diagnosis using AI (3 papers), Electrochemical Analysis and Applications (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Multimodal Machine Learning Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and CO2 Reduction Techniques and Catalysts (2 papers). The work is most often cited by research in Health Informatics (8 citations), Statistics, Probability and Uncertainty (23 citations), Radiology, Nuclear Medicine and Imaging (51 citations), Internal Medicine (7 citations) and Artificial Intelligence (67 citations). Chongyan Chen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Danna Gurari, Samreen Anjum, Ying Ding, Yifan Peng, Ahmed H. Tewfik, Chengjuan Fan, Dequan Wu, Lifeng Ding, Yulan Niu and Jun Cheng. Their work appears in journals such as Journal of Applied Electrochemistry, Journal of Alloys and Compounds, Green Chemistry, Scientometrics and World Journal of Gastroenterology.
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.