Hulin Wu
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Statistics and Probability top 0.2%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
Papers in
- Virology 48
- HIV Research and Treatment 47
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- HIV/AIDS drug development and treatment 35
- HIV/AIDS Research and Interventions 20
- Co-authors
- Hongyu Miao (25 shared papers)A. Adam Ding (8 shared papers)Alan S. Perelson (12 shared papers)Hua Liang (9 shared papers)Yangxin Huang (11 shared papers)Jin‐Ting Zhang (3 shared papers)Xiaohua Xia (1 shared paper)Zhi‐Ping Liu (3 shared papers)
- Journals
- Statistics in Medicine (9 papers)Journal of the American Statistical Association (8 papers)PLoS ONE (7 papers)Biometrics (7 papers)Bulletin of Mathematical Biology (7 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Hulin Wu
181 papers receiving 5.4k citations
Hulin Wu's Hit Papers
Peers
Comparison fields: 5 of 189
- Virology 961
- Statistics and Probability 1.0k
- Modeling and Simulation 477
- Infectious Diseases 938
- Statistics, Probability and Uncertainty 213
Countries citing papers authored by Hulin Wu
This map shows the geographic impact of Hulin Wu'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 Hulin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hulin Wu more than expected).
Fields of papers citing papers by Hulin Wu
This network shows the impact of papers produced by Hulin Wu. 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 Hulin Wu. The network helps show where Hulin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hulin Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On Identifiability of Nonlinear ODE Models and Applications in Viral Dynamics Hit paper breakdown → | 2011 | 431 |
| 2 | 2015 | 367 | |
| 3 | 1999 | 211 | |
| 4 | 2005 | 172 | |
| 5 | 2010 | 167 | |
| 6 | 2009 | 146 | |
| 7 | 2008 | 140 | |
| 8 | 2008 | 106 | |
| 9 | 1997 | 101 | |
| 10 | 2002 | 99 | |
| 11 | 2003 | 97 | |
| 12 | 2008 | 95 | |
| 13 | 1998 | 94 | |
| 14 | 1998 | 90 | |
| 15 | 1999 | 87 | |
| 16 | 1999 | 77 | |
| 17 | 2018 | 77 | |
| 18 | 2010 | 72 | |
| 19 | 2013 | 67 | |
| 20 | 2005 | 67 |
About Hulin Wu
Hulin Wu is a scholar working on Virology, Infectious Diseases, Molecular Biology, Statistics and Probability and Epidemiology, having authored 185 papers that have together received 5.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (47 papers), HIV/AIDS drug development and treatment (35 papers), HIV/AIDS Research and Interventions (20 papers), Statistical Methods and Inference (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Influenza Virus Research Studies (14 papers), Bioinformatics and Genomic Networks (14 papers) and Statistical Methods and Bayesian Inference (13 papers). The work is most often cited by research in Virology (961 citations), Statistics and Probability (1.0k citations), Modeling and Simulation (477 citations), Infectious Diseases (938 citations) and Statistics, Probability and Uncertainty (213 citations). Hulin Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Hongyu Miao, A. Adam Ding, Alan S. Perelson, Hua Liang, Yangxin Huang, Jin‐Ting Zhang, Xiaohua Xia, Zhi‐Ping Liu, Dacheng Liu and Wai‐Yuan Tan. Their work appears in journals such as Statistics in Medicine, Journal of the American Statistical Association, PLoS ONE, Biometrics and Bulletin of Mathematical Biology.
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.