Jane Wang
Impact in
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- Infrared Thermography in Medicine
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
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- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Infrared Thermography in Medicine 3
- Advanced MRI Techniques and Applications 3
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- AI in cancer detection 4
- Neural Networks and Applications 2
- Co-authors
- Tiffany Ting‐Fang Shih (7 shared papers)Ruoh‐Fang Yen (4 shared papers)Chen He (2 shared papers)Chin‐Yu Chen (4 shared papers)Li‐Tzong Chen (1 shared paper)Yuh‐Show Tsai (3 shared papers)Yuk‐Ming Tsang (1 shared paper)Tsang‐Wu Liu (1 shared paper)
- Journals
- Sensors (2 papers)BioMedical Engineering OnLine (2 papers)American Journal of Roentgenology (2 papers)JCO Clinical Cancer Informatics (1 paper)Advanced Healthcare Materials (1 paper)
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
Jane Wang
33 papers receiving 428 citations
Peers
Comparison fields: 5 of 95
- Radiology, Nuclear Medicine and Imaging 173
- Hepatology 32
- Aging 4
- Cognitive Neuroscience 43
- Artificial Intelligence 68
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-authors
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
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 56 | |
| 2 | 2010 | 55 | |
| 3 | 2004 | 48 | |
| 4 | 2022 | 36 | |
| 5 | 2017 | 26 | |
| 6 | 2009 | 26 | |
| 7 | 2007 | 21 | |
| 8 | 2013 | 20 | |
| 9 | 2018 | 13 | |
| 10 | 2024 | 11 | |
| 11 | 2016 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2003 | 11 | |
| 14 | 2018 | 11 | |
| 15 | 2010 | 10 | |
| 16 | 2010 | 7 | |
| 17 | 2008 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2014 | 6 |
About Jane Wang
Jane Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Molecular Biology, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 33 papers that have together received 447 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Infrared Thermography in Medicine (3 papers), Advanced MRI Techniques and Applications (3 papers), Muscle activation and electromyography studies (2 papers), Breast Lesions and Carcinomas (2 papers), Muscle Physiology and Disorders (2 papers), Neural Networks and Applications (2 papers) and Prosthetics and Rehabilitation Robotics (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (173 citations), Hepatology (32 citations), Aging (4 citations), Cognitive Neuroscience (43 citations) and Artificial Intelligence (68 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, Li‐Tzong Chen, Yuh‐Show Tsai, Yuk‐Ming Tsang, Tsang‐Wu Liu, Kuo‐Liong Chien and King‐Jen Chang. Their work appears in journals such as Sensors, BioMedical Engineering OnLine, American Journal of Roentgenology, JCO Clinical Cancer Informatics and Advanced Healthcare Materials.
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.