Ching‐Wei Wang
Impact in
- Oral Surgery top 1%
- Dental Radiography and Imaging
- Health Informatics top 2%
Papers in
-
- AI in cancer detection 24
-
- Digital Imaging for Blood Diseases 5
- Co-authors
- Yu‐Ching Lee (20 shared papers)Tai‐Kuang Chao (21 shared papers)Yi‐Jia Lin (14 shared papers)T.F. Cootes (3 shared papers)Claudia Lindner (3 shared papers)Andrew Hunter (10 shared papers)Sheng‐Wei Chang (3 shared papers)Tomaž Vrtovec (2 shared papers)
- Journals
- Scientific Reports (9 papers)Medical Image Analysis (5 papers)Computerized Medical Imaging and Graphics (5 papers)Cancers (4 papers)Bioinformatics (3 papers)
- Partner nations
- TaiwanUnited KingdomUnited States
In The Last Decade
Ching‐Wei Wang
79 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 133
- Oral Surgery 429
- Health Informatics 59
- Orthodontics 132
- Biophysics 145
- Radiology, Nuclear Medicine and Imaging 350
Countries citing papers authored by Ching‐Wei Wang
This map shows the geographic impact of Ching‐Wei 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 Ching‐Wei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Wei Wang more than expected).
Fields of papers citing papers by Ching‐Wei Wang
This network shows the impact of papers produced by Ching‐Wei 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 Ching‐Wei Wang. The network helps show where Ching‐Wei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching‐Wei 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 241 | |
| 2 | 2015 | 153 | |
| 3 | 2016 | 147 | |
| 4 | 2021 | 89 | |
| 5 | 2015 | 79 | |
| 6 | 2021 | 69 | |
| 7 | 2013 | 59 | |
| 8 | 2014 | 55 | |
| 9 | 2021 | 53 | |
| 10 | 2022 | 45 | |
| 11 | 2017 | 43 | |
| 12 | 2015 | 39 | |
| 13 | 2022 | 37 | |
| 14 | 2011 | 35 | |
| 15 | 2011 | 34 | |
| 16 | 2018 | 32 | |
| 17 | 2017 | 30 | |
| 18 | 2006 | 30 | |
| 19 | 2022 | 29 | |
| 20 | 2016 | 28 |
About Ching‐Wei Wang
Ching‐Wei Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biophysics, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 82 papers that have together received 1.8k indexed citations. Recurring topics across this work include AI in cancer detection (24 papers), Cell Image Analysis Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Multilevel Inverters and Converters (8 papers), HVDC Systems and Fault Protection (7 papers), Gene expression and cancer classification (7 papers), Obstructive Sleep Apnea Research (6 papers) and Digital Imaging for Blood Diseases (5 papers). The work is most often cited by research in Oral Surgery (429 citations), Health Informatics (59 citations), Orthodontics (132 citations), Biophysics (145 citations) and Radiology, Nuclear Medicine and Imaging (350 citations). Ching‐Wei Wang has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Yu‐Ching Lee, Tai‐Kuang Chao, Yi‐Jia Lin, T.F. Cootes, Claudia Lindner, Andrew Hunter, Sheng‐Wei Chang, Tomaž Vrtovec, Chung-Hsing Li and Bulat Ibragimov. Their work appears in journals such as Scientific Reports, Medical Image Analysis, Computerized Medical Imaging and Graphics, Cancers and Bioinformatics.
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.