Libin Rong

5.8k total citations
117 papers, 4.1k citations indexed

About

Libin Rong is a scholar working on Public Health, Environmental and Occupational Health, Virology and Infectious Diseases. According to data from OpenAlex, Libin Rong has authored 117 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Public Health, Environmental and Occupational Health, 46 papers in Virology and 31 papers in Infectious Diseases. Recurrent topics in Libin Rong's work include Mathematical and Theoretical Epidemiology and Ecology Models (56 papers), HIV Research and Treatment (46 papers) and COVID-19 epidemiological studies (29 papers). Libin Rong is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (56 papers), HIV Research and Treatment (46 papers) and COVID-19 epidemiological studies (29 papers). Libin Rong collaborates with scholars based in United States, China and Canada. Libin Rong's co-authors include Alan S. Perelson, Tianping Chen, Harel Dahari, Zhilan Feng, Sanyi Tang, Ruy M. Ribeiro, Xia Wang, Kasia A. Pawelek, Mingwang Shen and Yanni Xiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Libin Rong

108 papers receiving 4.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Libin Rong United States 34 1.7k 1.2k 1.1k 1.1k 961 117 4.1k
Patrick W. Nelson United States 22 1.8k 1.1× 920 0.8× 315 0.3× 799 0.7× 277 0.3× 46 3.3k
Gennady Bocharov Russia 30 790 0.5× 491 0.4× 417 0.4× 701 0.6× 316 0.3× 155 2.9k
Jane M. Heffernan Canada 27 1.3k 0.7× 307 0.3× 882 0.8× 1.5k 1.3× 901 0.9× 104 3.2k
Dominik Wodarz United States 45 1.7k 1.0× 1.8k 1.6× 863 0.8× 1.2k 1.1× 678 0.7× 173 6.3k
Michael Y. Li Canada 33 3.8k 2.2× 251 0.2× 489 0.4× 3.0k 2.7× 353 0.4× 63 5.7k
Zvi Grossman Israel 30 506 0.3× 2.8k 2.5× 1.2k 1.0× 184 0.2× 859 0.9× 65 5.2k
Catherine A. Macken United States 34 531 0.3× 1.4k 1.2× 2.2k 1.9× 1.2k 1.1× 3.0k 3.1× 59 5.9k
Jacques Fellay Switzerland 35 450 0.3× 1.3k 1.2× 1.9k 1.6× 198 0.2× 3.0k 3.2× 133 7.7k
Shingo Iwami Japan 28 826 0.5× 585 0.5× 873 0.8× 836 0.7× 821 0.9× 109 2.7k
Wendi Wang China 41 5.5k 3.2× 156 0.1× 751 0.7× 3.8k 3.3× 397 0.4× 170 7.1k

Countries citing papers authored by Libin Rong

Since Specialization
Citations

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

Fields of papers citing papers by Libin Rong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Libin Rong

This figure shows the co-authorship network connecting the top 25 collaborators of Libin Rong. A scholar is included among the top collaborators of Libin 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 Libin Rong. Libin 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
1.
Huang, Yi‐Chao, et al.. (2025). Analysis of an HIV latent infection model with cell-to-cell transmission and multiple drug classes. Applied Mathematics Letters. 164. 109478–109478.
2.
Xu, Yancong, et al.. (2025). Bifurcation analysis orchestrating isola and mushroom bifurcations of limit cycles in a predator–prey system. Chaos Solitons & Fractals. 200. 116880–116880.
3.
Salman, Mohammed, et al.. (2024). An infectious disease epidemic model with migration and stochastic transmission in deterministic and stochastic environments. SHILAP Revista de lepidopterología. 5. 100337–100337. 1 indexed citations
4.
Xu, Yancong, et al.. (2024). Complex dynamics induced by additive Allee effect in a Leslie-Gower predator-prey model. Discrete and Continuous Dynamical Systems - B. 29(8). 3471–3511. 2 indexed citations
5.
Deng, Qi, et al.. (2024). HIV infection dynamics with broadly neutralizing antibodies and CTL immune response. Discrete and Continuous Dynamical Systems - S. 18(12). 3631–3660. 3 indexed citations
6.
Harrison, Jeffrey K., et al.. (2024). Optimal control of combination immunotherapy for a virtual murine cohort in a glioblastoma-immune dynamics model. Journal of Theoretical Biology. 595. 111951–111951.
7.
Wang, Shaoli, et al.. (2024). Bistability of an HIV Model with Immune Impairment. SIAM Journal on Applied Dynamical Systems. 23(2). 1108–1132. 10 indexed citations
8.
Rong, Libin, et al.. (2023). Global dynamics of a multiscale model for hepatitis C virus infection. Applied Mathematics Letters. 149. 108904–108904. 4 indexed citations
9.
Wen, Tao, et al.. (2023). Modelling the Dynamics in a Predator–Prey System with Allee Effects and Anti-predator Behavior. Qualitative Theory of Dynamical Systems. 22(3). 9 indexed citations
10.
Zhang, Hangjun, et al.. (2023). Bifurcation Analysis of a New Aquatic Ecological Model with Aggregation Effect and Harvesting. International Journal of Bifurcation and Chaos. 33(15).
11.
Deng, Qi, et al.. (2023). HIV infection dynamics and viral rebound: Modeling results from humanized mice. Journal of Theoretical Biology. 567. 111490–111490. 2 indexed citations
12.
Tang, Biao, et al.. (2022). Stochastic HIV model coupled with pharmacokinetics and drug adherence may explain intermittent viral blips. Applied Mathematics Letters. 133. 108242–108242. 3 indexed citations
13.
Zu, Jian, Mingwang Shen, Christopher K. Fairley, et al.. (2021). Investigating the relationship between reopening the economy and implementing control measures during the COVID-19 pandemic. Public Health. 200. 15–21. 7 indexed citations
14.
Xu, Li, Samantha Tam, Kristina R. Dahlstrom, et al.. (2021). An economic and disease transmission model of human papillomavirus and oropharyngeal cancer in Texas. Scientific Reports. 11(1). 1802–1802. 3 indexed citations
15.
Qiu, Zhipeng, et al.. (2020). Modeling HIV multiple infection. Journal of Theoretical Biology. 509. 110502–110502. 10 indexed citations
16.
Chen, Shyan-Shiou, Chang‐Yuan Cheng, & Libin Rong. (2019). Within-Host Viral Dynamics in a Multi-compartmental Environment. Bulletin of Mathematical Biology. 81(10). 4271–4308. 2 indexed citations
17.
Tam, Samantha, Li Xu, Kristina R. Dahlstrom, et al.. (2018). Age-Structured Population Modeling of HPV-related Cervical Cancer in Texas and US. Scientific Reports. 8(1). 14346–14346. 12 indexed citations
18.
Shen, Mingwang, Yanni Xiao, Libin Rong, Lauren Ancel Meyers, & Steven E. Bellan. (2017). Early antiretroviral therapy and potent second-line drugs could decrease HIV incidence of drug resistance. Proceedings of the Royal Society B Biological Sciences. 284(1857). 20170525–20170525. 14 indexed citations
19.
Shen, Mingwang, Yanni Xiao, & Libin Rong. (2015). Modeling the effect of comprehensive interventions on Ebola virus transmission. Scientific Reports. 5(1). 15818–15818. 31 indexed citations
20.
Rong, Libin, Jérémie Guedj, Harel Dahari, et al.. (2013). Analysis of Hepatitis C Virus Decline during Treatment with the Protease Inhibitor Danoprevir Using a Multiscale Model. PLoS Computational Biology. 9(3). e1002959–e1002959. 71 indexed citations

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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