Zhenke Wu
Impact in
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- Aging and Gerontology Research
- Applied Psychology top 10%
- Digital Mental Health Interventions
- Behavioral Health and Interventions
Papers in
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- Bayesian Methods and Mixture Models 5
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- Statistical Methods and Bayesian Inference 6
- Statistical Methods and Inference 4
- Co-authors
- Xiaoling Xiang (2 shared papers)Srijan Sen (12 shared papers)Xuan Lü (1 shared paper)Scott L. Zeger (4 shared papers)Jia Xue (1 shared paper)Maria Deloria Knoll (2 shared papers)Christos Georgiades (1 shared paper)Andrew Hines-Peralta (1 shared paper)
- Journals
- Biostatistics (4 papers)Biometrics (3 papers)The Annals of Applied Statistics (3 papers)Journal of Medical Internet Research (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesCanadaNorway
In The Last Decade
Zhenke Wu
38 papers receiving 570 citations
Peers
Comparison fields: 5 of 99
- Neuropsychology and Physiological Psychology 30
- Applied Psychology 65
- Internal Medicine 37
- Hepatology 83
- Health 39
Countries citing papers authored by Zhenke Wu
This map shows the geographic impact of Zhenke 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 Zhenke Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenke Wu more than expected).
Fields of papers citing papers by Zhenke Wu
This network shows the impact of papers produced by Zhenke 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 Zhenke Wu. The network helps show where Zhenke Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenke 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 104 | |
| 2 | 2012 | 96 | |
| 3 | 2020 | 88 | |
| 4 | 2020 | 41 | |
| 5 | 2020 | 34 | |
| 6 | 2016 | 25 | |
| 7 | 2022 | 19 | |
| 8 | 2022 | 17 | |
| 9 | 2023 | 15 | |
| 10 | 2015 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2023 | 10 | |
| 13 | 2021 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2022 | 5 |
About Zhenke Wu
Zhenke Wu is a scholar working on Artificial Intelligence, Statistics and Probability, Epidemiology, Applied Psychology and Genetics, having authored 49 papers that have together received 576 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (6 papers), Bayesian Methods and Mixture Models (5 papers), Digital Mental Health Interventions (5 papers), Statistical Methods and Inference (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Behavioral Health and Interventions (2 papers), Mobile Health and mHealth Applications (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (30 citations), Applied Psychology (65 citations), Internal Medicine (37 citations), Hepatology (83 citations) and Health (39 citations). Zhenke Wu has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Xiaoling Xiang, Srijan Sen, Xuan Lü, Scott L. Zeger, Jia Xue, Maria Deloria Knoll, Christos Georgiades, Andrew Hines-Peralta, Kelvin Hong and Eleni Liapi. Their work appears in journals such as Biostatistics, Biometrics, The Annals of Applied Statistics, Journal of Medical Internet Research 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.