Chen Wang
Impact in
-
- COVID-19 diagnosis using AI
Papers in
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- COVID-19 diagnosis using AI 4
- Monoclonal and Polyclonal Antibodies Research 3
-
- Advancements in Battery Materials 3
- Co-authors
- Zhiming Guo (5 shared papers)Xiaobo Zou (3 shared papers)Hesham R. El‐Seedi (3 shared papers)Zhepeng Zhang (3 shared papers)Hongxia Jia (1 shared paper)Yidi Wang (1 shared paper)Yikai Han (1 shared paper)Feifei Fan (1 shared paper)
- Journals
- Frontiers in Pharmacology (3 papers)International Journal of Biological Macromolecules (2 papers)Renal Failure (2 papers)Journal of Controlled Release (2 papers)Advanced Science (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chen Wang
86 papers receiving 668 citations
Peers
Comparison fields: 5 of 141
- Radiology, Nuclear Medicine and Imaging 86
- Critical Care and Intensive Care Medicine 16
- Biomaterials 41
- Infectious Diseases 43
- Biomedical Engineering 97
Countries citing papers authored by Chen Wang
This map shows the geographic impact of Chen Wang'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 Chen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Wang more than expected).
Fields of papers citing papers by Chen Wang
This network shows the impact of papers produced by Chen Wang. 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 Chen Wang. The network helps show where Chen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Wang, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 103 | |
| 2 | 2024 | 61 | |
| 3 | 2013 | 47 | |
| 4 | 2024 | 33 | |
| 5 | 2024 | 26 | |
| 6 | 2020 | 23 | |
| 7 | 2024 | 21 | |
| 8 | 2008 | 20 | |
| 9 | 2024 | 19 | |
| 10 | 2007 | 19 | |
| 11 | 2011 | 14 | |
| 12 | 2024 | 14 | |
| 13 | 2024 | 14 | |
| 14 | 2024 | 13 | |
| 15 | 2024 | 12 | |
| 16 | 2025 | 12 | |
| 17 | 2024 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2017 | 9 | |
| 20 | 2024 | 9 |
About Chen Wang
Chen Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Molecular Biology, Materials Chemistry and Plant Science, having authored 108 papers that have together received 690 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), MXene and MAX Phase Materials (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Advancements in Battery Materials (3 papers), Nanomaterials for catalytic reactions (3 papers), Advanced Battery Technologies Research (3 papers), Analytical Chemistry and Sensors (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (86 citations), Critical Care and Intensive Care Medicine (16 citations), Biomaterials (41 citations), Infectious Diseases (43 citations) and Biomedical Engineering (97 citations). Chen Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhiming Guo, Xiaobo Zou, Hesham R. El‐Seedi, Zhepeng Zhang, Hongxia Jia, Yidi Wang, Yikai Han, Feifei Fan, Xin Li and Yaxuan Wang. Their work appears in journals such as Frontiers in Pharmacology, International Journal of Biological Macromolecules, Renal Failure, Journal of Controlled Release and Advanced Science.
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.