Adam Wang
Impact in
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- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Radiation top 2%
- Advanced Radiotherapy Techniques
Papers in
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- Advanced X-ray and CT Imaging 74
- Medical Imaging and Analysis 6
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- Medical Imaging Techniques and Applications 55
- Radiation Dose and Imaging 38
- Co-authors
- Norbert J. Pelc (21 shared papers)Josh Star‐Lack (23 shared papers)Jeffrey H. Siewerdsen (17 shared papers)Yoshito Otake (12 shared papers)Gerhard Kleinszig (11 shared papers)Sebastian Vogt (10 shared papers)J. Webster Stayman (11 shared papers)A. Jay Khanna (10 shared papers)
- Journals
- Medical Physics (35 papers)Physics in Medicine and Biology (19 papers)IEEE Transactions on Medical Imaging (3 papers)Neuro-Oncology (1 paper)Advances in Radiation Oncology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Adam Wang
125 papers receiving 1.7k citations
Adam Wang's Hit Papers
Peers
Comparison fields: 5 of 82
- Radiology, Nuclear Medicine and Imaging 823
- Radiation 321
- Biomedical Engineering 985
- Health Informatics 19
- Oral Surgery 40
Countries citing papers authored by Adam Wang
This map shows the geographic impact of Adam 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 Adam Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Wang more than expected).
Fields of papers citing papers by Adam Wang
This network shows the impact of papers produced by Adam 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 Adam Wang. The network helps show where Adam Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Adam 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects Hit paper breakdown → | 2023 | 202 |
| 2 | 2011 | 105 | |
| 3 | 2018 | 70 | |
| 4 | 2013 | 67 | |
| 5 | 2018 | 65 | |
| 6 | 2016 | 60 | |
| 7 | 2010 | 54 | |
| 8 | 2014 | 51 | |
| 9 | 2013 | 48 | |
| 10 | 2020 | 48 | |
| 11 | 2014 | 33 | |
| 12 | 2015 | 33 | |
| 13 | 2014 | 32 | |
| 14 | 2015 | 31 | |
| 15 | 2015 | 28 | |
| 16 | 2014 | 27 | |
| 17 | 2015 | 25 | |
| 18 | 2009 | 25 | |
| 19 | 2020 | 25 | |
| 20 | 2022 | 24 |
About Adam Wang
Adam Wang is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation and Computer Vision and Pattern Recognition, having authored 129 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (74 papers), Medical Imaging Techniques and Applications (55 papers), Radiation Dose and Imaging (38 papers), Digital Radiography and Breast Imaging (15 papers), Advanced Radiotherapy Techniques (13 papers), Medical Image Segmentation Techniques (6 papers), Medical Imaging and Analysis (6 papers) and Surgical Simulation and Training (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (823 citations), Radiation (321 citations), Biomedical Engineering (985 citations), Health Informatics (19 citations) and Oral Surgery (40 citations). Adam Wang has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Norbert J. Pelc, Josh Star‐Lack, Jeffrey H. Siewerdsen, Yoshito Otake, Gerhard Kleinszig, Sebastian Vogt, J. Webster Stayman, A. Jay Khanna, J. E. Tkaczyk and Vladimir A. Lobastov. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, IEEE Transactions on Medical Imaging, Neuro-Oncology and Advances in Radiation Oncology.
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.