Xizhi Wu
- Statistics and Probability top 2%
- Artificial Intelligence
- Economics and Econometrics
- Plant Science
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Chih‐Ling TsaiZhen LuoNorman L. JohnsonSamuel KotzZongwu CaiMitali DasYanshan WangJie Song
- Topics
- Advanced Statistical Methods and Models (12 papers)Statistical Methods and Inference (10 papers)Bamboo properties and applications (8 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaTechnometrics
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xizhi Wu
56 papers receiving 548 citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Statistics and Probability 163
- Artificial Intelligence 89
- Economics and Econometrics 60
- Plant Science 54
- Statistics, Probability and Uncertainty 54
Countries citing papers authored by Xizhi Wu
This map shows the geographic impact of Xizhi 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 Xizhi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xizhi Wu more than expected).
Fields of papers citing papers by Xizhi Wu
This network shows the impact of papers produced by Xizhi 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 Xizhi Wu. The network helps show where Xizhi Wu may publish in the future.
Co-authorship network of co-authors of Xizhi Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Xizhi Wu. A scholar is included among the top collaborators of Xizhi 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 Xizhi Wu. Xizhi 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 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | Chemical Constituents of Calotropis gigantea L. and Their Anticancer Activity | 1 |
| 13 | Projection Pursuit Clustering Method Based on Genetic Algorithm | 1 |
| 14 | Asymptotic properties of Backfitting estimators for partially linear varying coefficient models | 1 |
| 15 | Error Variance Estimation in Partially Linear Varying Coefficient Models | 0 |
| 16 | 7 | |
| 17 | Testing Linearity for Nonparametric Component of Partially Linear Models | 1 |
| 18 | Analysis on the Central Effect of Qi-Yin Deficiency Syndrome Scoring in Clinical Trials of Diabetes. | 1 |
| 19 | SV Forecast of Shenzhen Stock Exchanges | 1 |
| 20 | 3 |
About Xizhi Wu
Xizhi Wu is a scholar working on Health Informatics, Statistics and Probability and Polymers and Plastics, having authored 61 papers that have together received 578 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (12 papers), Statistical Methods and Inference (10 papers) and Bamboo properties and applications (8 papers). The work is most often cited by research in Health Informatics (53 citations), Statistics and Probability (163 citations) and Statistics, Probability and Uncertainty (54 citations). Xizhi Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chih‐Ling Tsai, Zhen Luo, Norman L. Johnson, Samuel Kotz, Zongwu Cai, Mitali Das, Yanshan Wang, Jie Song, Shyam Visweswaran and Sonish Sivarajkumar. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Technometrics.
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.