Huaiqing Wu
- Computational Theory and Mathematics top 5%
- Management Science and Operations Research top 5%
- Statistics, Probability and Uncertainty top 1%
- Statistics and Probability top 2%
- Artificial Intelligence
- Co-authors
- Peter Z. G. QianCheng WuWilliam Q. MeekerChangbao WuFugee TsungVijayan N. NairTimothy A. BigelowClayton L. Thomas
- Topics
- Optimal Experimental Design Methods (9 papers)Fault Detection and Control Systems (5 papers)Statistical Methods in Clinical Trials (5 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityManagement Science and Operations Research
- Partner nations
- United StatesCanadaHong Kong
In The Last Decade
Huaiqing Wu
39 papers receiving 566 citations
Peers
Comparison fields: 5 of 117
- Computational Theory and Mathematics 189
- Management Science and Operations Research 188
- Statistics, Probability and Uncertainty 169
- Statistics and Probability 140
- Artificial Intelligence 80
Countries citing papers authored by Huaiqing Wu
This map shows the geographic impact of Huaiqing 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 Huaiqing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huaiqing Wu more than expected).
Fields of papers citing papers by Huaiqing Wu
This network shows the impact of papers produced by Huaiqing 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 Huaiqing Wu. The network helps show where Huaiqing Wu may publish in the future.
Co-authorship network of co-authors of Huaiqing Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Huaiqing Wu. A scholar is included among the top collaborators of Huaiqing 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 Huaiqing Wu. Huaiqing 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 | 9 | |
| 2 | 16 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | Structure learning in Bayesian networks of a moderate size by efficient sampling | 1 |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | 6 | |
| 15 | 13 | |
| 16 | 165 | |
| 17 | 33 | |
| 18 | PID Charts for Process Monitoring | 5 |
| 19 | 52 | |
| 20 | 22 |
About Huaiqing Wu
Huaiqing Wu is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 39 papers that have together received 610 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (9 papers), Fault Detection and Control Systems (5 papers) and Statistical Methods in Clinical Trials (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (169 citations), Statistics and Probability (140 citations) and Management Science and Operations Research (188 citations). Huaiqing Wu has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include Peter Z. G. Qian, Cheng Wu, William Q. Meeker, Changbao Wu, Fugee Tsung, Vijayan N. Nair, Timothy A. Bigelow, Clayton L. Thomas, Lang Wu and X. Joan Hu. Their work appears in journals such as Technometrics, Clinical Infectious Diseases and Industrial & Engineering Chemistry 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.