Xianyi Wu
- Management Science and Operations Research top 5%
- Industrial and Manufacturing Engineering top 5%
- Strategy and Management top 10%
- Statistics and Probability top 5%
- Management Information Systems top 5%
- Topics
- Statistical Methods and Inference (13 papers)Bayesian Methods and Mixture Models (12 papers)Probability and Risk Models (12 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchOperations Research
In The Last Decade
Xianyi Wu
50 papers receiving 451 citations
Peers
Comparison fields: 5 of 70
- Management Science and Operations Research 169
- Industrial and Manufacturing Engineering 126
- Strategy and Management 112
- Statistics and Probability 107
- Management Information Systems 91
Countries citing papers authored by Xianyi Wu
This map shows the geographic impact of Xianyi 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 Xianyi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianyi Wu more than expected).
Fields of papers citing papers by Xianyi Wu
This network shows the impact of papers produced by Xianyi 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 Xianyi Wu. The network helps show where Xianyi Wu may publish in the future.
Co-authorship network of co-authors of Xianyi Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Xianyi Wu. A scholar is included among the top collaborators of Xianyi 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 Xianyi Wu. Xianyi 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 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | Scheduling with stochastic approaches | 2 |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 15 | |
| 15 | A change-point model for survival data with long-term survivors | 11 |
| 16 | 9 | |
| 17 | 24 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | 4 |
About Xianyi Wu
Xianyi Wu is a scholar working on Statistics and Probability, Management Science and Operations Research and General Decision Sciences, having authored 60 papers that have together received 475 indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Bayesian Methods and Mixture Models (12 papers) and Probability and Risk Models (12 papers). The work is most often cited by research in Management Science and Operations Research (169 citations), Statistics and Probability (107 citations) and Industrial and Manufacturing Engineering (126 citations). Xianyi Wu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Xian Zhou, Xiaoqiang Cai, Yongjian Li, Xiaoqiang Cai, Xiang Li, Rongming Wang, Xiaobing Zhao, Jia Xu, Yindong Shen and Yuqiang Li. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Operations 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.