Jane Wang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Infrared Thermography in Medicine
- Medical Imaging Techniques and Applications
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- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Aging 1
-
- MRI in cancer diagnosis 5
- Medical Imaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 4
- Infrared Thermography in Medicine 3
- Advanced MRI Techniques and Applications 3
- Co-authors
- Tiffany Ting‐Fang ShihRuoh‐Fang YenChen HeChin‐Yu ChenTsang‐Wu LiuYuk‐Ming TsangYuh‐Show TsaiLi‐Tzong Chen
- Journals
- American Journal of Roentgenology (2 papers)BioMedical Engineering OnLine (2 papers)Sensors (2 papers)JCO Clinical Cancer Informatics (1 paper)Clinical Breast Cancer (1 paper)
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
Jane Wang
33 papers receiving 400 citations
Peers
Comparison fields: 5 of 97
- Radiology, Nuclear Medicine and Imaging 204
- Hepatology 37
- Artificial Intelligence 77
- Aging 4
- Cognitive Neuroscience 42
Countries citing papers authored by Jane Wang
This map shows the geographic impact of Jane 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 Jane Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Wang more than expected).
Fields of papers citing papers by Jane Wang
This network shows the impact of papers produced by Jane 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 Jane Wang. The network helps show where Jane Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jane 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 28 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 4 | |
| 11 | 2017 | 25 | |
| 12 | 2016 | 9 | |
| 13 | 2015 | 6 | |
| 14 | 2013 | 19 | |
| 15 | 2010 | 7 | |
| 16 | 2010 | 50 | |
| 17 | 2009 | 19 | |
| 18 | 2008 | 53 | |
| 19 | 2003 | 10 | |
| 20 | 2003 | 5 |
About Jane Wang
Jane Wang is a scholar working on Aging, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Health Information Management and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 418 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (5 papers), AI in cancer detection (5 papers), Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Infrared Thermography in Medicine (3 papers), Advanced MRI Techniques and Applications (3 papers), Thermography and Photoacoustic Techniques (3 papers) and Breast Lesions and Carcinomas (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (204 citations), Hepatology (37 citations), Artificial Intelligence (77 citations), Aging (4 citations) and Cognitive Neuroscience (42 citations). Jane Wang has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Tiffany Ting‐Fang Shih, Ruoh‐Fang Yen, Chen He, Chin‐Yu Chen, Tsang‐Wu Liu, Yuk‐Ming Tsang, Yuh‐Show Tsai, Li‐Tzong Chen, Yung-Chie Lee and Ke-Cheng Chen. Their work appears in journals such as American Journal of Roentgenology, BioMedical Engineering OnLine, Sensors, JCO Clinical Cancer Informatics and Clinical Breast Cancer.
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.