Xiao‐Hua Zhou
Impact in
- Statistics and Probability top 0.05%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Health Information Management top 0.05%
Papers in
-
- Statistical Methods and Inference 121
- Statistical Methods and Bayesian Inference 83
- Statistical Methods in Clinical Trials 74
- Advanced Causal Inference Techniques 55
- Advanced Statistical Methods and Models 25
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- COVID-19 epidemiological studies 24
- Co-authors
- Donna K. McClishNancy A. ObuchowskiWilliam M. TierneyGeorge J. EckertOfer HarelSiu L. HuiSujuan GaoWanzhu Tu
- Journals
- Statistics in Medicine (63 papers)Biometrics (22 papers)Journal of Statistical Planning and Inference (10 papers)PLoS ONE (9 papers)Biostatistics (8 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xiao‐Hua Zhou
503 papers receiving 16.5k citations
Hit Papers
Peers
Comparison fields: 5 of 223
- Statistics and Probability 2.9k
- Health Information Management 832
- Statistics, Probability and Uncertainty 897
- Modeling and Simulation 521
- Geriatrics and Gerontology 419
Countries citing papers authored by Xiao‐Hua Zhou
This map shows the geographic impact of Xiao‐Hua 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 Xiao‐Hua Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao‐Hua Zhou more than expected).
Fields of papers citing papers by Xiao‐Hua Zhou
This network shows the impact of papers produced by Xiao‐Hua 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 Xiao‐Hua Zhou. The network helps show where Xiao‐Hua Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao‐Hua Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 1 | |
| 16 | 2020 | 30 | |
| 17 | 2016 | 3 | |
| 18 | 2014 | 5 | |
| 19 | 2014 | 40 | |
| 20 | 2000 | 4 |
About Xiao‐Hua Zhou
Xiao‐Hua Zhou is a scholar working on Statistics and Probability, Modeling and Simulation, Statistics, Probability and Uncertainty, Geriatrics and Gerontology and Health Information Management, having authored 540 papers that have together received 17.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (121 papers), Statistical Methods and Bayesian Inference (83 papers), Statistical Methods in Clinical Trials (74 papers), Advanced Causal Inference Techniques (55 papers), Health Systems, Economic Evaluations, Quality of Life (36 papers), Advanced Statistical Methods and Models (25 papers), COVID-19 epidemiological studies (24 papers) and Bayesian Methods and Mixture Models (19 papers). The work is most often cited by research in Statistics and Probability (2.9k citations), Health Information Management (832 citations), Statistics, Probability and Uncertainty (897 citations), Modeling and Simulation (521 citations) and Geriatrics and Gerontology (419 citations). Xiao‐Hua Zhou has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Donna K. McClish, Nancy A. Obuchowski, William M. Tierney, George J. Eckert, Ofer Harel, Siu L. Hui, Sujuan Gao, Wanzhu Tu, Glen E. Duncan and J. Marc Overhage. Their work appears in journals such as Statistics in Medicine, Biometrics, Journal of Statistical Planning and Inference, PLoS ONE and Biostatistics.
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.