Yiwang Zhou

779 total citations
22 papers, 327 citations indexed

About

Yiwang Zhou is a scholar working on Molecular Biology, Modeling and Simulation and Statistics and Probability. According to data from OpenAlex, Yiwang Zhou has authored 22 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Modeling and Simulation and 5 papers in Statistics and Probability. Recurrent topics in Yiwang Zhou's work include COVID-19 epidemiological studies (6 papers), Childhood Cancer Survivors' Quality of Life (4 papers) and Statistical Methods and Inference (4 papers). Yiwang Zhou is often cited by papers focused on COVID-19 epidemiological studies (6 papers), Childhood Cancer Survivors' Quality of Life (4 papers) and Statistical Methods and Inference (4 papers). Yiwang Zhou collaborates with scholars based in United States, Mexico and Canada. Yiwang Zhou's co-authors include Peter X.‐K. Song, Lili Wang, Soumik Purkayastha, Jie He, Lu Tang, Fei Wang, Daniel Barker, Michael Kleinsasser, Rupam Bhattacharyya and Ivo D. Dinov and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Yiwang Zhou

18 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiwang Zhou United States 9 168 69 61 55 50 22 327
Suwardi Annas Indonesia 7 247 1.5× 68 1.0× 80 1.3× 26 0.5× 127 2.5× 34 415
Sebastián Contreras Chile 11 154 0.9× 38 0.6× 94 1.5× 34 0.6× 44 0.9× 27 289
Soumik Purkayastha United States 9 238 1.4× 112 1.6× 113 1.9× 56 1.0× 52 1.0× 15 343
Diana Beltekian United Kingdom 3 247 1.5× 125 1.8× 182 3.0× 43 0.8× 28 0.6× 3 497
Evan L Ray United States 8 360 2.1× 65 0.9× 84 1.4× 287 5.2× 108 2.2× 17 623
Jiarui Sun China 7 204 1.2× 73 1.1× 114 1.9× 59 1.1× 34 0.7× 17 310
Jonas Dehning Germany 6 459 2.7× 174 2.5× 143 2.3× 131 2.4× 65 1.3× 10 605
Johannes Bracher Germany 11 149 0.9× 41 0.6× 36 0.6× 111 2.0× 32 0.6× 19 345
Lee Kennedy‐Shaffer United States 9 144 0.9× 17 0.2× 211 3.5× 59 1.1× 47 0.9× 27 448
Marco Antônio Leonel Caetano Brazil 11 64 0.4× 71 1.0× 35 0.6× 17 0.3× 124 2.5× 28 334

Countries citing papers authored by Yiwang Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yiwang Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiwang Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Yiwang Zhou. A scholar is included among the top collaborators of Yiwang Zhou 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 Yiwang Zhou. Yiwang Zhou 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.
Hashtarkhani, Soheil, Yiwang Zhou, Fekede Asefa Kumsa, et al.. (2025). Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach. JMIR Cancer. 11. e59882–e59882. 1 indexed citations
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Li, Xiao, Rico Gamuyao, Woo Jung Cho, et al.. (2024). A fluorogenic complementation tool kit for interrogating lipid droplet–organelle interaction. The Journal of Cell Biology. 223(9). 10 indexed citations
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Zhou, Yiwang, Jesse Smith, Cai Li, et al.. (2023). Longitudinal clinical data improve survival prediction after hematopoietic cell transplantation using machine learning. Blood Advances. 8(3). 686–698. 2 indexed citations
7.
Marks, Lianna J., Yiwang Zhou, Ying Zheng, et al.. (2023). Validation of Childhood Hodgkin International Prognostic Score (CHIPS) for Predicting Event-Free Survival in Intermediate and High-Risk Hodgkin Lymphoma. Blood. 142(Supplement 1). 4451–4451. 1 indexed citations
8.
Zhou, Yiwang, Erica C. Jansen, Wei Perng, et al.. (2022). Metabolomics reveals sex‐specific pathways associated with changes in adiposity and muscle mass in a cohort of Mexican adolescents. Pediatric Obesity. 17(6). e12887–e12887. 10 indexed citations
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Wang, Lili, Yiwang Zhou, Jie He, et al.. (2021). An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China. Journal of Data Science. 409–432. 28 indexed citations
11.
Zhan, Tianyu, Yiwang Zhou, Ziqian Geng, et al.. (2021). Deep historical borrowing framework to prospectively and simultaneously synthesize control information in confirmatory clinical trials with multiple endpoints. Journal of Biopharmaceutical Statistics. 32(1). 90–106. 2 indexed citations
12.
Wang, Lili, Yiwang Zhou, Jie He, et al.. (2021). Rejoinder: An epidemiological forecast model and software assessing interventions on COVID-19 epidemic in China. Journal of Data Science. 18(3). 446–454. 5 indexed citations
13.
Luo, Chengwen, et al.. (2020). High-dimensional mediation analysis in survival models. PLoS Computational Biology. 16(4). e1007768–e1007768. 26 indexed citations
14.
Wang, Lili, Fei Wang, Yiwang Zhou, & Peter X.‐K. Song. (2020). Discussion of “Tracking reproductivity of COVID-19 epidemic in China with varying coefficient SIR model”. Journal of Data Science. 18(3). 477–479.
15.
Zhou, Yiwang, et al.. (2020). A Spatiotemporal Epidemiological Prediction Model to Inform County-Level COVID-19 Risk in the United States. SHILAP Revista de lepidopterología. 30 indexed citations
16.
Marino, Simeone, Nina Zhou, Yiwang Zhou, et al.. (2020). Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets. PLoS ONE. 15(8). e0228520–e0228520. 6 indexed citations
17.
Tang, Lu, Yiwang Zhou, Lili Wang, et al.. (2020). A Review of Multi‐Compartment Infectious Disease Models. International Statistical Review. 88(2). 462–513. 90 indexed citations
18.
Zhou, Yiwang, Lu Zhao, Nina Zhou, et al.. (2019). Predictive Big Data Analytics using the UK Biobank Data. Scientific Reports. 9(1). 6012–6012. 18 indexed citations
19.
Marino, Simeone, et al.. (2018). Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies. PLoS ONE. 13(8). e0202674–e0202674. 7 indexed citations
20.
Zhou, Yiwang, Paola Blanchette, Naila Chughtai, et al.. (2015). The Human Adenovirus Type 5 E4orf4 Protein Targets Two Phosphatase Regulators of the Hippo Signaling Pathway. Journal of Virology. 89(17). 8855–8870. 11 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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