Xiaoming Li

28.2k citations
818 papers · 19.9k indexed · 2 hit papers · h-index 66

Xiaoming Li

769 papers receiving 19.2k citations

Hit Papers

Artificial Intelligence–Based Chatbots for ...2652020202620222024100200300

Peers

Xiaoming Li
Comparison fields: 5 of 211
  • Infectious Diseases 5.7k
  • General Health Professions 6.8k
  • Clinical Psychology 4.8k
  • Safety Research 1.7k
  • Health 1.4k
Replace Torsten B. Neilands with:
Torsten B. Neilands United States
Alexander C. Tsai United States
Helen A. Weiss United Kingdom
Joseph T. F. Lau Hong Kong
Jeffrey D. Fisher United States
William A. Fisher Canada
Carl A. Latkin United States
Michael Farrell United Kingdom
Blair T. Johnson United States
Edward A. Frongillo United States
Xiaoming Li relative to Torsten B. Neilands United States Torsten B. Neilands's profile →
Citations per field
00.5×1.5×2.0×
Torsten B. Neilands · 1×
Citations per year

Countries citing papers authored by Xiaoming Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20244
4 20241
5 20230
6 20233
7 202217
8 202211
9 20222
10 202198
11 202115
12 20205
13 201917
14 201911
15 201720
16
Intention to use condom, cusp modeling, and evaluation of an HIV prevention intervention trial.
201314
17 20118
18 20081
19 200740
20 2006102

About Xiaoming Li

Xiaoming Li is a scholar working on Infectious Diseases, General Health Professions, Safety Research, Clinical Psychology and Virology, having authored 818 papers that have together received 19.9k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (262 papers), Adolescent Sexual and Reproductive Health (191 papers), HIV, Drug Use, Sexual Risk (160 papers), Sex work and related issues (112 papers), Poverty, Education, and Child Welfare (71 papers), Homelessness and Social Issues (44 papers), Child and Adolescent Psychosocial and Emotional Development (37 papers) and Food Security and Health in Diverse Populations (36 papers). The work is most often cited by research in Infectious Diseases (5.7k citations), General Health Professions (6.8k citations), Clinical Psychology (4.8k citations), Safety Research (1.7k citations) and Health (1.4k citations). Xiaoming Li has collaborated with scholars based in United States, China and Macao. Frequent co-authors include Bonita Stanton, Xiaoyi Fang, Danhua Lin, Susan Feigelman, Yan Hong, Shan Qiao, Yuejiao Zhou, Jennifer Galbraith, Guoxiang Zhao and Cheuk Chi Tam. Their work appears in journals such as AIDS Care, AIDS and Behavior, Journal of Adolescent Health, PLoS ONE and Psychology Health & Medicine.

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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