Jun Tan
Impact in
- Radiation top 2%
- Advanced Radiotherapy Techniques
- Health Informatics top 10%
Papers in
- Radiation 19
- Advanced Radiotherapy Techniques 19
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- Medical Imaging Techniques and Applications 8
- Radiation Dose and Imaging 6
- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Lindsey Olsen (4 shared papers)G.L. Stüber (3 shared papers)Kevin L. Moore (2 shared papers)Satomi Shiraishi (2 shared papers)Sasa Mutic (8 shared papers)Yang Yu (1 shared paper)Shiyong Chen (1 shared paper)Qing Da (1 shared paper)
- Journals
- Medical Physics (11 papers)International Journal of Radiation Oncology*Biology*Physics (3 papers)Physics in Medicine and Biology (2 papers)Practical Radiation Oncology (2 papers)Radiology Artificial Intelligence (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Jun Tan
44 papers receiving 582 citations
Peers
Comparison fields: 5 of 68
- Radiation 308
- Health Informatics 14
- Radiology, Nuclear Medicine and Imaging 231
- Otorhinolaryngology 21
- Computer Networks and Communications 99
Countries citing papers authored by Jun Tan
This map shows the geographic impact of Jun Tan'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 Jun Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tan more than expected).
Fields of papers citing papers by Jun Tan
This network shows the impact of papers produced by Jun Tan. 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 Jun Tan. The network helps show where Jun Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Tan, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 111 | |
| 2 | 2015 | 93 | |
| 3 | 2018 | 88 | |
| 4 | 2015 | 40 | |
| 5 | 2003 | 28 | |
| 6 | 2017 | 25 | |
| 7 | 2005 | 20 | |
| 8 | 2017 | 18 | |
| 9 | 2006 | 16 | |
| 10 | 2009 | 14 | |
| 11 | 2024 | 12 | |
| 12 | 2014 | 12 | |
| 13 | 2005 | 11 | |
| 14 | 2014 | 10 | |
| 15 | 2012 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2015 | 8 | |
| 18 | 2007 | 8 | |
| 19 | 2014 | 6 | |
| 20 | 2021 | 5 |
About Jun Tan
Jun Tan is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 50 papers that have together received 601 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (19 papers), Medical Imaging Techniques and Applications (8 papers), Wireless Communication Networks Research (7 papers), Radiation Dose and Imaging (6 papers), Radiation Therapy and Dosimetry (6 papers), Advanced Wireless Communication Techniques (5 papers), Advanced X-ray and CT Imaging (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Radiation (308 citations), Health Informatics (14 citations), Radiology, Nuclear Medicine and Imaging (231 citations), Otorhinolaryngology (21 citations) and Computer Networks and Communications (99 citations). Jun Tan has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Lindsey Olsen, G.L. Stüber, Kevin L. Moore, Satomi Shiraishi, Sasa Mutic, Yang Yu, Shiyong Chen, Qing Da, Jeff M. Michalski and Kevin L. Moore. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology, Practical Radiation Oncology and Radiology Artificial Intelligence.
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.