Qiang Wu
- Computational Mechanics top 1%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Mathematical Physics top 2%
- Statistics and Probability top 1%
- Co-authors
- Ding‐Xuan ZhouYiming YingHongwei SunDavid A. LewisAllan R. SampsonTakanori HashimotoH. Holly BazmiKároly Mirnics
- Topics
- Sparse and Compressive Sensing Techniques (24 papers)Statistical Methods and Inference (22 papers)Face and Expression Recognition (16 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceAmerican Journal of PsychiatryThe Science of The Total Environment
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Qiang Wu
115 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 169
- Computational Mechanics 720
- Artificial Intelligence 694
- Computer Vision and Pattern Recognition 433
- Mathematical Physics 392
- Statistics and Probability 365
Countries citing papers authored by Qiang Wu
This map shows the geographic impact of Qiang 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 Qiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Wu more than expected).
Fields of papers citing papers by Qiang Wu
This network shows the impact of papers produced by Qiang 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 Qiang Wu. The network helps show where Qiang Wu may publish in the future.
Co-authorship network of co-authors of Qiang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Wu. A scholar is included among the top collaborators of Qiang 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 Qiang Wu. Qiang 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 | 0 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 17 | |
| 8 | 28 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 16 | |
| 13 | Optimal Selection and Evaluation of Completion Methods for Horizontal Wells by Fuzzy Mathematical Theory | 1 |
| 14 | Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence | 13 |
| 15 | An Algorithm for Idle-State Detection and Continuous Classifier Design in Motor-Imagery-Based BCI | 1 |
| 16 | 2 | |
| 17 | 27 | |
| 18 | 28 | |
| 19 | Estimation of Gradients and Coordinate Covariation in Classification | 43 |
| 20 | Weighted Estimates for Multilinear Calderón-Zygmund Operators | 4 |
About Qiang Wu
Qiang Wu is a scholar working on Statistics and Probability, Mathematical Physics and Applied Mathematics, having authored 133 papers that have together received 2.8k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (24 papers), Statistical Methods and Inference (22 papers) and Face and Expression Recognition (16 papers). The work is most often cited by research in Statistics and Probability (365 citations), Mathematical Physics (392 citations) and Biological Psychiatry (103 citations). Qiang Wu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Ding‐Xuan Zhou, Yiming Ying, Hongwei Sun, David A. Lewis, Allan R. Sampson, Takanori Hashimoto, H. Holly Bazmi, Károly Mirnics, Sayan Mukherjee and Ting Hu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, American Journal of Psychiatry and The Science of The Total Environment.
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.