Wenyu Jiang
- Statistics and Probability top 2%
- Molecular Biology
- Artificial Intelligence
- Cancer Research
- Computer Vision and Pattern Recognition
- Co-authors
- Richard SimonBoris FreidlinSudhir VarmaBingshu E. ChenNicolas TsingosIan WilliamsYan JinJohn D. Kalbfleisch
- Topics
- Statistical Methods and Inference (9 papers)Statistical Methods in Clinical Trials (7 papers)Statistical Methods and Bayesian Inference (4 papers)
- Journals
- Journal of the American Statistical AssociationAnalytical ChemistryClinical Cancer Research
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Wenyu Jiang
28 papers receiving 320 citations
Peers
Comparison fields: 5 of 85
- Statistics and Probability 140
- Molecular Biology 82
- Artificial Intelligence 60
- Cancer Research 49
- Computer Vision and Pattern Recognition 46
Countries citing papers authored by Wenyu Jiang
This map shows the geographic impact of Wenyu Jiang'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 Wenyu Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenyu Jiang more than expected).
Fields of papers citing papers by Wenyu Jiang
This network shows the impact of papers produced by Wenyu Jiang. 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 Wenyu Jiang. The network helps show where Wenyu Jiang may publish in the future.
Co-authorship network of co-authors of Wenyu Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Wenyu Jiang. A scholar is included among the top collaborators of Wenyu Jiang 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 Wenyu Jiang. Wenyu Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | Using Programmable Graphics Hardware for Acoustics and Audio Rendering | 28 |
| 18 | 0 | |
| 19 | 32 | |
| 20 | 68 |
About Wenyu Jiang
Wenyu Jiang is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 30 papers that have together received 338 indexed citations. Recurring topics across this work include Statistical Methods and Inference (9 papers), Statistical Methods in Clinical Trials (7 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Statistics and Probability (140 citations), Cancer Research (49 citations) and Signal Processing (29 citations). Wenyu Jiang has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Richard Simon, Boris Freidlin, Sudhir Varma, Bingshu E. Chen, Nicolas Tsingos, Ian Williams, Yan Jin, John D. Kalbfleisch, Rongshan Yu and Mingcai Chen. Their work appears in journals such as Journal of the American Statistical Association, Analytical Chemistry and Clinical Cancer 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.