Dan Ruan
Impact in
- Radiation top 0.1%
- Advanced Radiotherapy Techniques
-
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
Papers in
- Radiation 86
- Advanced Radiotherapy Techniques 86
-
- Medical Imaging Techniques and Applications 36
- Advanced MRI Techniques and Applications 19
- Radiomics and Machine Learning in Medical Imaging 12
- Co-authors
- Ke Sheng (58 shared papers)Paul Keall (18 shared papers)Daniel A. Low (35 shared papers)Jeffrey A. Fessler (10 shared papers)James M. Balter (8 shared papers)Amit Sawant (19 shared papers)Yingli Yang (13 shared papers)Byungchul Cho (8 shared papers)
- Journals
- Medical Physics (72 papers)International Journal of Radiation Oncology*Biology*Physics (27 papers)Physics in Medicine and Biology (23 papers)Frontiers in Oncology (4 papers)Journal of Magnetic Resonance Imaging (3 papers)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Dan Ruan
187 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 131
- Radiation 1.7k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Pulmonary and Respiratory Medicine 961
- Health Informatics 34
- Computer Vision and Pattern Recognition 299
Countries citing papers authored by Dan Ruan
This map shows the geographic impact of Dan Ruan'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 Dan Ruan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ruan more than expected).
Fields of papers citing papers by Dan Ruan
This network shows the impact of papers produced by Dan Ruan. 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 Dan Ruan. The network helps show where Dan Ruan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Ruan, 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 205 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 180 | |
| 2 | 2018 | 163 | |
| 3 | 2012 | 142 | |
| 4 | 2013 | 120 | |
| 5 | 2020 | 81 | |
| 6 | 2020 | 78 | |
| 7 | 2019 | 77 | |
| 8 | 2010 | 72 | |
| 9 | 2010 | 64 | |
| 10 | 2007 | 63 | |
| 11 | 2010 | 61 | |
| 12 | 2008 | 59 | |
| 13 | 2018 | 58 | |
| 14 | 2009 | 57 | |
| 15 | 2010 | 56 | |
| 16 | 2018 | 55 | |
| 17 | 2015 | 54 | |
| 18 | 2017 | 54 | |
| 19 | 2014 | 53 | |
| 20 | 2010 | 53 |
About Dan Ruan
Dan Ruan is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 205 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (86 papers), Medical Imaging Techniques and Applications (36 papers), Medical Image Segmentation Techniques (24 papers), Radiation Therapy and Dosimetry (20 papers), Advanced MRI Techniques and Applications (19 papers), Advanced X-ray and CT Imaging (12 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Medical Imaging and Analysis (9 papers). The work is most often cited by research in Radiation (1.7k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Pulmonary and Respiratory Medicine (961 citations), Health Informatics (34 citations) and Computer Vision and Pattern Recognition (299 citations). Dan Ruan has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Ke Sheng, Paul Keall, Daniel A. Low, Jeffrey A. Fessler, James M. Balter, Amit Sawant, Yingli Yang, Byungchul Cho, P.R. Poulsen and Daniel O’Connor. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology, Frontiers in Oncology and Journal of Magnetic Resonance Imaging.
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.