Simin Chen
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Adversarial Robustness in Machine Learning 5
- Domain Adaptation and Few-Shot Learning 3
- Software 3
- Software Testing and Debugging Techniques 3
- Co-authors
- Hong‐Xi Xu (1 shared paper)Yu Xu (1 shared paper)Wei Ping Yang (2 shared papers)Xin Tan (1 shared paper)Zhenqiu Chen (1 shared paper)Qiushi Wei (1 shared paper)Sichi Kuang (2 shared papers)Weimin Deng (1 shared paper)
- Journals
- Molecular Immunology (2 papers)Frontiers in Pharmacology (2 papers)Cancer Prevention Research (2 papers)Atmosphere (2 papers)Nutrients (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Simin Chen
63 papers receiving 719 citations
Peers
Comparison fields: 5 of 125
- Nephrology 75
- Hepatology 56
- Health Informatics 10
- Cancer Research 38
- Ceramics and Composites 15
Countries citing papers authored by Simin Chen
This map shows the geographic impact of Simin 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 Simin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simin Chen more than expected).
Fields of papers citing papers by Simin Chen
This network shows the impact of papers produced by Simin 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 Simin Chen. The network helps show where Simin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Simin 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 96 | |
| 2 | 2020 | 63 | |
| 3 | 2015 | 38 | |
| 4 | 2023 | 34 | |
| 5 | 2022 | 27 | |
| 6 | 2020 | 27 | |
| 7 | 2023 | 27 | |
| 8 | 2023 | 25 | |
| 9 | 2022 | 24 | |
| 10 | The non-Geldanamycin Hsp90 inhibitors enhanced the antifungal activity of fluconazole. | 2015 | 24 |
| 11 | 2022 | 23 | |
| 12 | 2013 | 22 | |
| 13 | 2021 | 21 | |
| 14 | 2023 | 21 | |
| 15 | 2013 | 18 | |
| 16 | 2022 | 17 | |
| 17 | 2022 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2022 | 15 | |
| 20 | 2022 | 14 |
About Simin Chen
Simin Chen is a scholar working on Artificial Intelligence, Software, Building and Construction, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 68 papers that have together received 745 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (5 papers), Advanced Neural Network Applications (4 papers), Software Testing and Debugging Techniques (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Digital Radiography and Breast Imaging (2 papers), Building Energy and Comfort Optimization (2 papers) and Chalcogenide Semiconductor Thin Films (2 papers). The work is most often cited by research in Nephrology (75 citations), Hepatology (56 citations), Health Informatics (10 citations), Cancer Research (38 citations) and Ceramics and Composites (15 citations). Simin Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hong‐Xi Xu, Yu Xu, Wei Ping Yang, Xin Tan, Zhenqiu Chen, Qiushi Wei, Sichi Kuang, Weimin Deng, Cong Liu and Sidong Xie. Their work appears in journals such as Molecular Immunology, Frontiers in Pharmacology, Cancer Prevention Research, Atmosphere and Nutrients.
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.