Zhenke Wu

2.7k total citations
47 papers, 556 citations indexed

About

Zhenke Wu is a scholar working on Applied Psychology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Zhenke Wu has authored 47 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Applied Psychology, 9 papers in Artificial Intelligence and 8 papers in Epidemiology. Recurrent topics in Zhenke Wu's work include Digital Mental Health Interventions (9 papers), Statistical Methods and Bayesian Inference (6 papers) and Bayesian Methods and Mixture Models (5 papers). Zhenke Wu is often cited by papers focused on Digital Mental Health Interventions (9 papers), Statistical Methods and Bayesian Inference (6 papers) and Bayesian Methods and Mixture Models (5 papers). Zhenke Wu collaborates with scholars based in United States, Canada and Norway. Zhenke Wu's co-authors include Xiaoling Xiang, Srijan Sen, Scott L. Zeger, Xuan Lü, Aliaksei Halavanau, Maria Deloria Knoll, Jia Xue, Andrew Hines-Peralta, Eleni Liapi and Kelvin Hong and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Radiology.

In The Last Decade

Zhenke Wu

36 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenke Wu United States 11 89 85 67 60 59 47 556
W. Benjamin Nowell United States 18 17 0.2× 17 0.2× 59 0.9× 147 2.5× 23 0.4× 82 944
Karen Spencer United Kingdom 9 21 0.2× 25 0.3× 35 0.5× 160 2.7× 15 0.3× 23 583
Babak Choodari‐Oskooei United Kingdom 13 16 0.2× 14 0.2× 66 1.0× 47 0.8× 34 0.6× 32 849
Michael J. Zoratti Canada 14 64 0.7× 6 0.1× 92 1.4× 46 0.8× 28 0.5× 40 773
Scott Cunningham United Kingdom 14 28 0.3× 34 0.4× 155 2.3× 249 4.2× 39 0.7× 38 805
Sarah A. Elliott Canada 18 30 0.3× 13 0.2× 108 1.6× 118 2.0× 16 0.3× 59 937
Sharon Hensley Alford United States 24 17 0.2× 106 1.2× 83 1.2× 191 3.2× 747 12.7× 53 1.5k
Lezhi Li China 16 6 0.1× 35 0.4× 46 0.7× 122 2.0× 14 0.2× 57 857
Wei‐Chen Lee United States 11 96 1.1× 9 0.1× 68 1.0× 89 1.5× 18 0.3× 66 493
Hyunsu Ju United States 19 47 0.5× 7 0.1× 159 2.4× 129 2.1× 20 0.3× 33 999

Countries citing papers authored by Zhenke Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Zhenke Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenke Wu. A scholar is included among the top collaborators of Zhenke Wu 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 Zhenke Wu. Zhenke Wu 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.
Wu, Zhenke, et al.. (2025). Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation. Journal of the American Statistical Association. 1–11.
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Pennington, Bethany R Tellor, Douglas A. Colquhoun, Mark D. Neuman, et al.. (2023). Feasibility pilot trial for the Trajectories of Recovery after Intravenous propofol versus inhaled VolatilE anesthesia (THRIVE) pragmatic randomised controlled trial. BMJ Open. 13(4). e070096–e070096. 4 indexed citations
5.
Carlozzi, Noelle E., Sung Won Choi, Zhenke Wu, et al.. (2023). The reliability and validity of the TBI-CareQOL system in four diverse caregiver groups. Journal of Patient-Reported Outcomes. 7(1). 57–57. 1 indexed citations
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Wu, Zhenke, Sung Won Choi, Srijan Sen, et al.. (2023). The Dosing of Mobile-Based Just-in-Time Adaptive Self-Management Prompts for Caregivers: Preliminary Findings From a Pilot Microrandomized Study. JMIR Formative Research. 7. e43099–e43099. 7 indexed citations
9.
Newman, Mark, Sun Young Park, Angelle M. Sander, et al.. (2023). Identifying Design Opportunities for Adaptive mHealth Interventions That Target General Well-Being: Interview Study With Informal Care Partners. JMIR Formative Research. 7. e47813–e47813.
10.
Kontar, Raed Al, et al.. (2022). Weakly Supervised Multi-output Regression via Correlated Gaussian Processes. arXiv (Cornell University). 1(2). 115–137. 3 indexed citations
11.
Fang, Yu, et al.. (2022). A caveat to using wearable sensor data for COVID-19 detection: The role of behavioral change after receipt of test results. PLoS ONE. 17(12). e0277350–e0277350. 6 indexed citations
12.
Carlozzi, Noelle E., Angelle M. Sander, Sung Won Choi, et al.. (2022). Improving outcomes for care partners of persons with traumatic brain injury: Protocol for a randomized control trial of a just-in-time-adaptive self-management intervention. PLoS ONE. 17(6). e0268726–e0268726. 5 indexed citations
13.
Carlozzi, Noelle E., et al.. (2021). An App-Based Just-in-Time Adaptive Self-management Intervention for Care Partners (CareQOL): Protocol for a Pilot Trial. JMIR Research Protocols. 10(12). e32842–e32842. 8 indexed citations
14.
Schaefer, Jordan K., Zhenke Wu, Tanima Basu, et al.. (2021). Clinical and sociodemographic factors associated with anticoagulant use for cancer associated venous thromboembolism. Journal of Thrombosis and Thrombolysis. 52(1). 214–223. 4 indexed citations
15.
Sen, Srijan, Elena Frank, Maureen A. Walton, et al.. (2020). Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns: Micro-Randomized Trial. Journal of Medical Internet Research. 22(3). e15033–e15033. 41 indexed citations
16.
Schaefer, Jordan K., Zhenke Wu, Tanima Basu, et al.. (2020). Anticoagulant medication adherence for cancer‐associated thrombosis: A comparison of LMWH to DOACs. Journal of Thrombosis and Haemostasis. 19(1). 212–220. 32 indexed citations
17.
Wu, Zhenke, Livia Casciola‐Rosen, Antony Rosen, & Scott L. Zeger. (2020). A Bayesian approach to restricted latent class models for scientifically structured clustering of multivariate binary outcomes. Biometrics. 77(4). 1431–1444. 4 indexed citations
18.
Xiang, Xiaoling, et al.. (2020). Modern Senicide in the Face of a Pandemic: An Examination of Public Discourse and Sentiment About Older Adults and COVID-19 Using Machine Learning. The Journals of Gerontology Series B. 76(4). e190–e200. 85 indexed citations
19.
Wu, Zhenke, Hideaki Fujiwara, Steven E. Whitesall, et al.. (2019). Computational analysis of continuous body temperature provides early discrimination of graft-versus-host disease in mice. Blood Advances. 3(23). 3977–3981. 4 indexed citations
20.
Wu, Zhenke, Livia Casciola‐Rosen, Ami A. Shah, Antony Rosen, & Scott L. Zeger. (2017). Estimating autoantibody signatures to detect autoimmune disease patient subsets. Biostatistics. 20(1). 30–47. 2 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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