Yanhong Wu
- Statistics, Probability and Uncertainty top 0.5%
- Statistics and Probability top 1%
- Safety, Risk, Reliability and Quality top 2%
- Software top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Muni S. SrivastavaMing J. ZuoJian HuangDaming LinJinhua CaoJun CaiLulu GuoWeibin Zeng
- Topics
- Advanced Statistical Process Monitoring (29 papers)Statistical Distribution Estimation and Applications (12 papers)Scientific Measurement and Uncertainty Evaluation (11 papers)
- Journals
- The Annals of StatisticsJournal of Industrial and Engineering ChemistryIEEE Transactions on Reliability
- Partner nations
- United StatesCanadaChina
In The Last Decade
Yanhong Wu
51 papers receiving 557 citations
Peers
Comparison fields: 5 of 72
- Statistics, Probability and Uncertainty 348
- Statistics and Probability 293
- Safety, Risk, Reliability and Quality 214
- Software 109
- Management Science and Operations Research 92
Countries citing papers authored by Yanhong Wu
This map shows the geographic impact of Yanhong Wu'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 Yanhong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanhong Wu more than expected).
Fields of papers citing papers by Yanhong Wu
This network shows the impact of papers produced by Yanhong Wu. 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 Yanhong Wu. The network helps show where Yanhong Wu may publish in the future.
Co-authorship network of co-authors of Yanhong Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yanhong Wu. A scholar is included among the top collaborators of Yanhong Wu 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 Yanhong Wu. Yanhong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 27 | |
| 17 | 8 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 12 |
About Yanhong Wu
Yanhong Wu is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Management Science and Operations Research, having authored 54 papers that have together received 617 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (29 papers), Statistical Distribution Estimation and Applications (12 papers) and Scientific Measurement and Uncertainty Evaluation (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (348 citations), Statistics and Probability (293 citations) and Software (109 citations). Yanhong Wu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Muni S. Srivastava, Ming J. Zuo, Jian Huang, Daming Lin, Jinhua Cao, Jun Cai, Lulu Guo, Weibin Zeng, Xuguang Zhang and Wei Biao Wu. Their work appears in journals such as The Annals of Statistics, Journal of Industrial and Engineering Chemistry and IEEE Transactions on Reliability.
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.