Ruichen Rong
Impact in
- Health Informatics top 2%
- Urology top 2%
- Urinary Bladder and Prostate Research
Papers in
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- Cell Image Analysis Techniques 6
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- AI in cancer detection 13
- Co-authors
- Guanghua Xiao (23 shared papers)Qunfeng Dong (7 shared papers)Xiaowei Zhan (11 shared papers)Shidan Wang (14 shared papers)Donghan M. Yang (15 shared papers)Evelyn Toh (3 shared papers)David Evan Nelson (3 shared papers)Yang Jin Xie (14 shared papers)
- Journals
- PLoS ONE (3 papers)American Journal Of Pathology (3 papers)Cancers (2 papers)Modern Pathology (2 papers)Briefings in Bioinformatics (1 paper)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Ruichen Rong
32 papers receiving 2.2k citations
Ruichen Rong's Hit Papers
Peers
Comparison fields: 5 of 150
- Health Informatics 86
- Urology 148
- Periodontics 91
- Radiology, Nuclear Medicine and Imaging 407
- Microbiology 107
Countries citing papers authored by Ruichen Rong
This map shows the geographic impact of Ruichen Rong'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 Ruichen Rong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruichen Rong more than expected).
Fields of papers citing papers by Ruichen Rong
This network shows the impact of papers produced by Ruichen Rong. 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 Ruichen Rong. The network helps show where Ruichen Rong may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruichen Rong, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evidence of Uncultivated Bacteria in the Adult Female Bladder Hit paper breakdown → | 2012 | 504 |
| 2 | 2019 | 282 | |
| 3 | 2019 | 227 | |
| 4 | 2012 | 197 | |
| 5 | 2013 | 168 | |
| 6 | A critical assessment of using ChatGPT for extracting structured data from clinical notes Hit paper breakdown → | 2024 | 150 |
| 7 | 2020 | 113 | |
| 8 | 2013 | 106 | |
| 9 | 2012 | 104 | |
| 10 | 2021 | 59 | |
| 11 | 2023 | 54 | |
| 12 | 2023 | 38 | |
| 13 | 2021 | 30 | |
| 14 | 2019 | 29 | |
| 15 | 2023 | 29 | |
| 16 | 2022 | 25 | |
| 17 | 2019 | 23 | |
| 18 | 2023 | 19 | |
| 19 | 2023 | 17 | |
| 20 | 2023 | 9 |
About Ruichen Rong
Ruichen Rong is a scholar working on Biophysics, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Oncology and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 2.2k indexed citations. Recurring topics across this work include AI in cancer detection (13 papers), Cell Image Analysis Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Gut microbiota and health (4 papers), Cutaneous Melanoma Detection and Management (2 papers), Cancer Genomics and Diagnostics (2 papers), Digital Imaging for Blood Diseases (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (86 citations), Urology (148 citations), Periodontics (91 citations), Radiology, Nuclear Medicine and Imaging (407 citations) and Microbiology (107 citations). Ruichen Rong has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Guanghua Xiao, Qunfeng Dong, Xiaowei Zhan, Shidan Wang, Donghan M. Yang, Evelyn Toh, David Evan Nelson, Yang Jin Xie, Norio Shibata and Kimberly Sue Kenton. Their work appears in journals such as PLoS ONE, American Journal Of Pathology, Cancers, Modern Pathology and Briefings in Bioinformatics.
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.