Ruichen Rong

3.0k citations
32 papers · 1.8k · 2 hit papers · h-index 15

Impact in

Papers in

Ruichen Rong

31 papers receiving 1.8k citations

Ruichen Rong's Hit Papers

A critical assessment of using ChatGPT for extracting structured data from clinical notes 2024 · 101 citations
1010+4+9Years since publication100200300400

Peers

Ruichen Rong
Comparison fields: 5 of 144
  • Health Informatics 86
  • Urology 225
  • Microbiology 113
  • Periodontics 82
  • Rheumatology 256
Replace Andreas Matussek with:
Andreas Matussek Sweden
Hao Zeng China
Inger Nina Farstad Norway
Kathy A. Mangold United States
Sambit Bhattacharya India
David G. Heath United States
Victoria Wright United Kingdom
Jeffrey A. Dean United States
Carlos Monteagudo Spain
Olivia Kershaw Germany
Ruichen Rong relative to Andreas Matussek Sweden Andreas Matussek's profile →
Citations per field
00.5×10.3×
Andreas Matussek · 1×
Citations per year

Countries citing papers authored by Ruichen Rong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ruichen Rong Line = papers co-authored together Ruichen Rong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 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 →
2012464
2 2019244
3 2019198
4 2012178
5 2013152
6
A critical assessment of using ChatGPT for extracting structured data from clinical notes
Hit paper breakdown →
2024101
7 2012100
8 201396
9 202151
10 202333
11 201924
12 202122
13 201922
14 202220
15 202320
16 202314
17 202313
18 20236
19 20145
20 20225

About Ruichen Rong

Ruichen Rong is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Cell Image Analysis Techniques (6 papers), Gut microbiota and health (4 papers), Machine Learning in Healthcare (4 papers), Cancer Genomics and Diagnostics (3 papers), COVID-19 diagnosis using AI (2 papers) and Cutaneous Melanoma Detection and Management (2 papers). The work is most often cited by research in Health Informatics (86 citations), Urology (225 citations), Microbiology (113 citations), Periodontics (82 citations) and Rheumatology (256 citations). Ruichen Rong has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Qunfeng Dong, Donghan M. Yang, Xiaowei Zhan, Shidan Wang, Guanghua Xiao, Evelyn Toh, David E. Nelson, Norio Shibata, MaryPat FitzGerald and Elizabeth R. Mueller. Their work appears in journals such as American Journal Of Pathology, PLoS ONE, Cancers, Journal of the American Academy of Dermatology and Scientific Reports.

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.

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