Jeffrey B. Wang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- Ultrasound Imaging and Elastography 2
- Co-authors
- Muna AryalRaag D. AiranQian ZhongJames D. BrooksNikola C. TeslovichRichard E. FanSimon John Christoph SoerensenGeoffrey A. Sonn
- Journals
- Medical Image Analysis (3 papers)Medical Physics (2 papers)Nature Communications (2 papers)Biomaterials (1 paper)Molecular Psychiatry (1 paper)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Jeffrey B. Wang
13 papers receiving 386 citations
Peers
Comparison fields: 5 of 60
- Radiology, Nuclear Medicine and Imaging 181
- Neurology 37
- Health Informatics 6
- Pulmonary and Respiratory Medicine 128
- Artificial Intelligence 99
Countries citing papers authored by Jeffrey B. Wang
This map shows the geographic impact of Jeffrey B. 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 Jeffrey B. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey B. Wang more than expected).
Fields of papers citing papers by Jeffrey B. Wang
This network shows the impact of papers produced by Jeffrey B. 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 Jeffrey B. Wang. The network helps show where Jeffrey B. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey B. 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 22 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 41 | |
| 8 | 2021 | 46 | |
| 9 | 2021 | 38 | |
| 10 | 2020 | 61 | |
| 11 | 2020 | 29 | |
| 12 | 2020 | 31 | |
| 13 | 2019 | 35 | |
| 14 | 2018 | 69 |
About Jeffrey B. Wang
Jeffrey B. Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Cognitive Neuroscience, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 389 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Ultrasound and Hyperthermia Applications (4 papers), Functional Brain Connectivity Studies (2 papers), Ultrasound Imaging and Elastography (2 papers), Advanced Neural Network Applications (2 papers), Lanthanide and Transition Metal Complexes (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (181 citations), Neurology (37 citations), Health Informatics (6 citations), Pulmonary and Respiratory Medicine (128 citations) and Artificial Intelligence (99 citations). Jeffrey B. Wang has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Muna Aryal, Raag D. Airan, Qian Zhong, James D. Brooks, Nikola C. Teslovich, Richard E. Fan, Simon John Christoph Soerensen, Geoffrey A. Sonn, Mirabela Rusu and Wei Shao. Their work appears in journals such as Medical Image Analysis, Medical Physics, Nature Communications, Biomaterials and Molecular Psychiatry.
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.