R. An
Impact in
-
- Retinal Imaging and Analysis
- Cardiac Imaging and Diagnostics
Papers in
- Surgery 2
- Coronary Interventions and Diagnostics 2
-
- Cerebrovascular and Carotid Artery Diseases 2
- Co-authors
- Danni Ai (4 shared papers)Jian Yang (4 shared papers)Hong Song (2 shared papers)Hongzhi Xie (1 shared paper)Jingfan Fan (2 shared papers)Yining Wang (2 shared papers)Tao Han (1 shared paper)A. Blake (1 shared paper)
- Journals
- Sustainable Energy Technologies and Assessments (1 paper)Physics in Medicine and Biology (1 paper)International Journal of Women s Health (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
R. An
6 papers receiving 27 citations
Peers
Comparison fields: 5 of 12
- Radiology, Nuclear Medicine and Imaging 18
- Health Informatics 1
- Computer Vision and Pattern Recognition 12
- Nuclear and High Energy Physics 4
- Pulmonary and Respiratory Medicine 4
Countries citing papers authored by R. An
This map shows the geographic impact of R. An'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 R. An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. An more than expected).
Fields of papers citing papers by R. An
This network shows the impact of papers produced by R. An. 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 R. An. The network helps show where R. An may publish in the future.
Co-authors
The 18 scholars most cited alongside R. An, 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 | 2022 | 14 | |
| 2 | Comparison of νμ-Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions : MicroBooNE Collaboration | 2019 | 4 |
| 3 | 2021 | 4 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 0 |
About R. An
R. An is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 27 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (2 papers), Retinal Imaging and Analysis (2 papers), Coronary Interventions and Diagnostics (2 papers), Infrared Target Detection Methodologies (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Neutrino Physics Research (1 paper), Particle physics theoretical and experimental studies (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (18 citations), Health Informatics (1 citation), Computer Vision and Pattern Recognition (12 citations), Nuclear and High Energy Physics (4 citations) and Pulmonary and Respiratory Medicine (4 citations). R. An has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Danni Ai, Jian Yang, Hong Song, Hongzhi Xie, Jingfan Fan, Yining Wang, Tao Han, A. Blake, Yining Wang and A. Lister. Their work appears in journals such as Sustainable Energy Technologies and Assessments, Physics in Medicine and Biology, International Journal of Women s Health, Computer Methods and Programs in Biomedicine and Lecture notes in computer science.
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.