Ruichen Rong

3.0k citations
32 papers · 1.8k indexed · 2 hit papers · h-index 15
Topics
AI in cancer detection (13 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Cell Image Analysis Techniques (6 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Ruichen Rong

31 papers receiving 1.8k citations

Hit Papers

Evidence of Uncultivated Bacteria in the Adult Female Bla...201220262016202120122024100200300400

Peers

Ruichen Rong
Comparison fields: 5 of 144
  • Epidemiology 516
  • Molecular Biology 420
  • Artificial Intelligence 408
  • Radiology, Nuclear Medicine and Imaging 380
  • 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
00.5×10×12.8×
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-authorship network of co-authors of Ruichen Rong

This figure shows the co-authorship network connecting the top 25 collaborators of Ruichen Rong. A scholar is included among the top collaborators of Ruichen Rong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruichen Rong. Ruichen Rong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 4
4 1
5 1
6 0
7 13
8 4
9 20
10 33
11 20
12 5
13 22
14 244
15 22
16 5
17 96
18 178
19 100
20
Evidence of Uncultivated Bacteria in the Adult Female Bladderbreakdown →
464

About Ruichen Rong

Ruichen Rong is a scholar working on Biophysics, Health Informatics and Artificial Intelligence, 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) and Cell Image Analysis Techniques (6 papers). The work is most often cited by research in Health Informatics (86 citations), Urology (225 citations) and Microbiology (113 citations). Ruichen Rong has collaborated with scholars based in United States, China and France. Frequent co-authors include Qunfeng Dong, Donghan M. Yang, Shidan Wang, Xiaowei Zhan, Guanghua Xiao, Evelyn Toh, David E. Nelson, Norio Shibata, Linda Brubaker and Kimberly Kenton. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

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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