Yingwei Peng
Impact in
- Statistics and Probability top 0.2%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
- Statistical Methods in Clinical Trials
- Urology top 2%
Papers in
-
- Statistical Methods and Inference 35
- Statistical Methods and Bayesian Inference 22
- Statistical Methods in Clinical Trials 10
- Statistical Distribution Estimation and Applications 10
- Co-authors
- Keith DearJiajia ZhangWilliam J. MackillopChristopher M. BoothD. Robert SiemensBinbing YuJames W. DenhamN. Balakrishnan
- Journals
- Journal of Clinical Oncology (10 papers)Statistics in Medicine (10 papers)Computational Statistics & Data Analysis (6 papers)Lifetime Data Analysis (6 papers)Statistical Methods in Medical Research (4 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Yingwei Peng
112 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 145
- Statistics and Probability 1.0k
- Urology 158
- Otorhinolaryngology 103
- Oncology 524
- Artificial Intelligence 485
Countries citing papers authored by Yingwei Peng
This map shows the geographic impact of Yingwei Peng'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 Yingwei Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingwei Peng more than expected).
Fields of papers citing papers by Yingwei Peng
This network shows the impact of papers produced by Yingwei Peng. 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 Yingwei Peng. The network helps show where Yingwei Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingwei Peng, 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 | 2021 | 20 | |
| 2 | 2021 | 5 | |
| 3 | 2019 | 11 | |
| 4 | 2018 | 10 | |
| 5 | 2018 | 14 | |
| 6 | 2016 | 59 | |
| 7 | 2016 | 30 | |
| 8 | 2015 | 46 | |
| 9 | 2014 | 19 | |
| 10 | 2014 | 35 | |
| 11 | 2014 | 43 | |
| 12 | 2013 | 15 | |
| 13 | 2012 | 24 | |
| 14 | 2012 | 47 | |
| 15 | 2012 | 87 | |
| 16 | 2011 | 12 | |
| 17 | 2010 | 54 | |
| 18 | 2009 | 39 | |
| 19 | 2009 | 125 | |
| 20 | 2006 | 2 |
About Yingwei Peng
Yingwei Peng is a scholar working on Statistics and Probability, Otorhinolaryngology, Oncology, Urology and Artificial Intelligence, having authored 119 papers that have together received 2.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (35 papers), Statistical Methods and Bayesian Inference (22 papers), Bayesian Methods and Mixture Models (21 papers), Bladder and Urothelial Cancer Treatments (19 papers), Urinary and Genital Oncology Studies (16 papers), Colorectal Cancer Screening and Detection (13 papers), Statistical Methods in Clinical Trials (10 papers) and Statistical Distribution Estimation and Applications (10 papers). The work is most often cited by research in Statistics and Probability (1.0k citations), Urology (158 citations), Otorhinolaryngology (103 citations), Oncology (524 citations) and Artificial Intelligence (485 citations). Yingwei Peng has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Keith Dear, Jiajia Zhang, William J. Mackillop, Christopher M. Booth, D. Robert Siemens, Binbing Yu, James W. Denham, N. Balakrishnan, Jianfeng Xu and Weidong Kong. Their work appears in journals such as Journal of Clinical Oncology, Statistics in Medicine, Computational Statistics & Data Analysis, Lifetime Data Analysis and Statistical Methods in Medical Research.
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.