Lin Ouyang

55 papers receiving 658 citations

Peers

Lin Ouyang
Comparison fields: 5 of 124
  • Infectious Diseases 229
  • Virology 47
  • Epidemiology 255
  • Internal Medicine 22
  • Fluid Flow and Transfer Processes 31
Replace Stefan Scholz with:
Stefan Scholz Germany
Yingjie Liu China
Ting‐Yuan Liu Taiwan
Stéphane Morel France
Robert J. Kelly United States
Michael Worthington Australia
John Griffith United States
Roger Lewis United States
A. Kamali Iran
Altuğ Tuncel Türkiye
Lin Ouyang relative to Stefan Scholz Germany Stefan Scholz's profile →
Citations per field
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Stefan Scholz · 1×
Citations per year

Countries citing papers authored by Lin Ouyang

Since Specialization
Citations

This map shows the geographic impact of Lin Ouyang'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 Lin Ouyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Ouyang more than expected).

Fields of papers citing papers by Lin Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin Ouyang. 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 Lin Ouyang. The network helps show where Lin Ouyang may publish in the future.

Co-authors

The 25 scholars most cited alongside Lin Ouyang, 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 Lin Ouyang Line = papers co-authored together Lin Ouyang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200985
2 201069
3 201038
4 202236
5 201134
6 201429
7 201627
8 201125
9 195623
10 201920
11 201719
12
[Surveillance on HIV-1 incidence among men who have sex with men in Chongqing, China, 2006 - 2008].
200918
13 201717
14 201417
15
[A respondent-driven sampling survey on HIV and risk factors among men who have sex with men in Chongqing].
200916
16 201014
17 201913
18 201313
19 202213
20 200813

About Lin Ouyang

Lin Ouyang is a scholar working on Infectious Diseases, Virology, Epidemiology, Critical Care and Intensive Care Medicine and Health, having authored 62 papers that have together received 681 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (17 papers), HIV, Drug Use, Sexual Risk (13 papers), Sex work and related issues (7 papers), Adolescent Sexual and Reproductive Health (6 papers), Chalcogenide Semiconductor Thin Films (5 papers), Sexual function and dysfunction studies (4 papers), HIV Research and Treatment (4 papers) and Semiconductor Quantum Structures and Devices (3 papers). The work is most often cited by research in Infectious Diseases (229 citations), Virology (47 citations), Epidemiology (255 citations), Internal Medicine (22 citations) and Fluid Flow and Transfer Processes (31 citations). Lin Ouyang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinkou Zhao, LU Guang-ming, Rongrong Lu, Jean‐Christophe Remigy, Jorge Macanás, Jean‐François Lahitte, Marı́a Muñoz, Merlin L. Bruening, Guohui Wu and David J. Smith. Their work appears in journals such as Journal of Crystal Growth, Frontiers in Public Health, AIDS Care, Sexually Transmitted Diseases and Public Health.

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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