Cai Wu
Impact in
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials
Papers in
-
- Statistical Methods in Clinical Trials 4
- Statistical Methods and Inference 2
-
- Hepatocellular Carcinoma Treatment and Prognosis 3
- Co-authors
- Liang Li (4 shared papers)Christine Vinci (3 shared papers)Claire Adams Spears (3 shared papers)Diana Stewart Hoover (3 shared papers)Heng Zhou (5 shared papers)Cong Chen (5 shared papers)Andrew J. Waters (1 shared paper)Li Yang (3 shared papers)
- Journals
- International Journal of Machine Learning and Cybernetics (2 papers)Abdominal Radiology (2 papers)Frontiers in Oncology (2 papers)Contemporary Clinical Trials (2 papers)Cancer Biology & Therapy (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Cai Wu
31 papers receiving 414 citations
Peers
Comparison fields: 5 of 89
- Statistics and Probability 50
- Applied Psychology 18
- Hematology 30
- Oncology 61
- Physiology 11
Countries citing papers authored by Cai Wu
This map shows the geographic impact of Cai 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 Cai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cai Wu more than expected).
Fields of papers citing papers by Cai Wu
This network shows the impact of papers produced by Cai 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 Cai Wu. The network helps show where Cai Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cai Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 58 | |
| 2 | 2014 | 50 | |
| 3 | 2022 | 41 | |
| 4 | 2014 | 27 | |
| 5 | 2017 | 26 | |
| 6 | 2017 | 26 | |
| 7 | 2015 | 23 | |
| 8 | 2021 | 23 | |
| 9 | 2021 | 22 | |
| 10 | 2019 | 18 | |
| 11 | 2019 | 17 | |
| 12 | 2018 | 12 | |
| 13 | 2019 | 9 | |
| 14 | tdROC: Nonparametric estimation of time-dependent ROC curve from right censored survival data | 2016 | 8 |
| 15 | 2020 | 8 | |
| 16 | EM clustering analysis of diabetes patients basic diagnosis index. | 2005 | 7 |
| 17 | 2020 | 7 | |
| 18 | 2020 | 7 | |
| 19 | Development of a medical informatics data warehouse. | 2006 | 5 |
| 20 | 2021 | 5 |
About Cai Wu
Cai Wu is a scholar working on Statistics and Probability, Hepatology, Management Science and Operations Research, Neurology and Agronomy and Crop Science, having authored 36 papers that have together received 425 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Optimal Experimental Design Methods (3 papers), Image Retrieval and Classification Techniques (2 papers), Crop Yield and Soil Fertility (2 papers), Coffee research and impacts (2 papers), Acute Myeloid Leukemia Research (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Statistics and Probability (50 citations), Applied Psychology (18 citations), Hematology (30 citations), Oncology (61 citations) and Physiology (11 citations). Cai Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Liang Li, Christine Vinci, Claire Adams Spears, Diana Stewart Hoover, Heng Zhou, Cong Chen, Andrew J. Waters, Li Yang, Jennifer Irvin Vidrine and Zhen Cai. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Abdominal Radiology, Frontiers in Oncology, Contemporary Clinical Trials and Cancer Biology & Therapy.
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.