Chen Wang
Impact in
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in ⓘ
-
- COVID-19 diagnosis using AI 4
- Infrared Thermography in Medicine 3
- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Hesham R. El‐Seedi (3 shared papers)Xiaobo Zou (3 shared papers)Zhiming Guo (5 shared papers)Liu Hong (1 shared paper)Jianjun Jin (1 shared paper)Yue Zhou (1 shared paper)Bingjie Li (1 shared paper)Wang Ma (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
81 papers receiving 556 citations
Peers
Comparison fields: 5 of 140
- Radiology, Nuclear Medicine and Imaging 95
- Critical Care and Intensive Care Medicine 20
- Infectious Diseases 48
- Biomaterials 33
- Biomedical Engineering 95
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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 101 | |
| 2 | 2024 | 52 | |
| 3 | 2013 | 47 | |
| 4 | 2024 | 23 | |
| 5 | 2024 | 22 | |
| 6 | 2020 | 22 | |
| 7 | 2008 | 20 | |
| 8 | 2024 | 19 | |
| 9 | 2007 | 19 | |
| 10 | 2024 | 15 | |
| 11 | 2011 | 14 | |
| 12 | 2024 | 12 | |
| 13 | 2024 | 11 | |
| 14 | 2024 | 10 | |
| 15 | 2017 | 9 | |
| 16 | 2024 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2002 | 7 |
About Chen Wang
Chen Wang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Materials Chemistry and Plant Science, having authored 106 papers that have together received 580 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), MXene and MAX Phase Materials (4 papers), Nanomaterials for catalytic reactions (3 papers), Advanced Battery Materials and Technologies (3 papers), Air Quality and Health Impacts (3 papers), Infrared Thermography in Medicine (3 papers), Advanced Battery Technologies Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (95 citations), Critical Care and Intensive Care Medicine (20 citations), Infectious Diseases (48 citations), Biomaterials (33 citations) and Biomedical Engineering (95 citations). Chen Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hesham R. El‐Seedi, Xiaobo Zou, Zhiming Guo, Liu Hong, Jianjun Jin, Yue Zhou, Bingjie Li, Wang Ma, Yidi Wang and Feifei Fan. 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.