Xikui Wang
Impact in
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- Thermal Regulation in Medicine
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
Papers in
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- Advanced Bandit Algorithms Research 9
- Optimal Experimental Design Methods 5
- Auction Theory and Applications 3
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- Statistical Methods in Clinical Trials 13
- Statistical Methods and Inference 3
- Advanced Causal Inference Techniques 3
- Co-authors
- Daryl Pullman (2 shared papers)Wendy M. Fallis (2 shared papers)Yanqing Yi (6 shared papers)Shou-Ching Tang (1 shared paper)Garry Chernenko (1 shared paper)Zahra Moussavi (6 shared papers)Jawaid Younus (1 shared paper)Ian D. Simpson (1 shared paper)
In The Last Decade
Xikui Wang
35 papers receiving 419 citations
Peers
Comparison fields: 5 of 106
- Critical Care and Intensive Care Medicine 53
- Statistics and Probability 58
- Neurology 46
- Management Science and Operations Research 56
- Human-Computer Interaction 16
Countries citing papers authored by Xikui Wang
This map shows the geographic impact of Xikui Wang'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 Xikui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xikui Wang more than expected).
Fields of papers citing papers by Xikui Wang
This network shows the impact of papers produced by Xikui Wang. 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 Xikui Wang. The network helps show where Xikui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xikui Wang, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 72 | |
| 2 | 2006 | 60 | |
| 3 | 2017 | 44 | |
| 4 | 2019 | 36 | |
| 5 | 2003 | 34 | |
| 6 | 2001 | 29 | |
| 7 | 2015 | 20 | |
| 8 | 2024 | 15 | |
| 9 | 2018 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2012 | 12 | |
| 12 | 2007 | 9 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2001 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2000 | 6 | |
| 18 | 2006 | 5 | |
| 19 | 2007 | 5 | |
| 20 | 2013 | 5 |
About Xikui Wang
Xikui Wang is a scholar working on Management Science and Operations Research, Statistics and Probability, Economics and Econometrics, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 39 papers that have together received 437 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (13 papers), Advanced Bandit Algorithms Research (9 papers), Optimal Experimental Design Methods (5 papers), Statistical Methods and Inference (3 papers), Advanced Causal Inference Techniques (3 papers), Auction Theory and Applications (3 papers), Transcranial Magnetic Stimulation Studies (3 papers) and Stochastic processes and financial applications (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (53 citations), Statistics and Probability (58 citations), Neurology (46 citations), Management Science and Operations Research (56 citations) and Human-Computer Interaction (16 citations). Xikui Wang has collaborated with scholars based in Canada, Australia and China. Frequent co-authors include Daryl Pullman, Wendy M. Fallis, Yanqing Yi, Shou-Ching Tang, Garry Chernenko, Zahra Moussavi, Jawaid Younus, Ian D. Simpson, Alison Collins and Brian Lithgow. Their work appears in journals such as Applied Stochastic Models in Business and Industry, Journal of Statistical Planning and Inference, Scientific Reports, Journal of Clinical Oncology and Controlled Clinical Trials.
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.