Qiang Wu
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Christopher J. C. BurgesPing LiJianlin WeiJihong WangAndrzej CichockiQibin ZhaoFeng GaoJu Liu
- Topics
- Tensor decomposition and applications (9 papers)EEG and Brain-Computer Interfaces (6 papers)Blind Source Separation Techniques (5 papers)
- Journals
- IEEE Transactions on Industrial ElectronicsIEEE Transactions on Power ElectronicsIEEE Transactions on Power Systems
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qiang Wu
40 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 313
- Electrical and Electronic Engineering 211
- Cognitive Neuroscience 198
- Information Systems 177
- Computer Vision and Pattern Recognition 168
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 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 41 | |
| 9 | 69 | |
| 10 | 26 | |
| 11 | 3 | |
| 12 | 52 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | Complex deposit 3D modeling and geology automatic plotting | 0 |
| 16 | 5 | |
| 17 | 69 | |
| 18 | A “Three Maps” Method on the Evaluations of Ground Fissure Hazard | 1 |
| 19 | Water-power erosion in mines coupling GIS, RS and AHP model | 2 |
| 20 | 33 |
About Qiang Wu
Qiang Wu is a scholar working on Computational Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 1.0k indexed citations. Recurring topics across this work include Tensor decomposition and applications (9 papers), EEG and Brain-Computer Interfaces (6 papers) and Blind Source Separation Techniques (5 papers). The work is most often cited by research in Computational Mathematics (79 citations), Signal Processing (129 citations) and Cognitive Neuroscience (198 citations). Qiang Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Christopher J. C. Burges, Ping Li, Jianlin Wei, Jihong Wang, Andrzej Cichocki, Qibin Zhao, Feng Gao, Ju Liu, Jiande Sun and Fengyu Cong. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Transactions on Power Systems.
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.