Gang Qu
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Co-authors
- Long WangShancheng JiangYu‐Ping WangKwai‐Sang ChinKwok‐Leung TsuiVince D. CalhounWenxing HuLi Xiao
- Topics
- Functional Brain Connectivity Studies (16 papers)Advanced Neuroimaging Techniques and Applications (6 papers)EEG and Brain-Computer Interfaces (4 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Gang Qu
19 papers receiving 371 citations
Peers
Comparison fields: 5 of 91
- Cognitive Neuroscience 134
- Artificial Intelligence 133
- Radiology, Nuclear Medicine and Imaging 104
- Computer Vision and Pattern Recognition 53
- Management Science and Operations Research 31
Countries citing papers authored by Gang Qu
This map shows the geographic impact of Gang Qu'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 Gang Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Qu more than expected).
Fields of papers citing papers by Gang Qu
This network shows the impact of papers produced by Gang Qu. 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 Gang Qu. The network helps show where Gang Qu may publish in the future.
Co-authorship network of co-authors of Gang Qu
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Qu. A scholar is included among the top collaborators of Gang Qu 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 Gang Qu. Gang Qu 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 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 30 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 40 | |
| 15 | 20 | |
| 16 | 35 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 41 | |
| 20 | A Feature-Based Chinese POS Tagging Model | 1 |
About Gang Qu
Gang Qu is a scholar working on Cognitive Neuroscience, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 376 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (16 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Cognitive Neuroscience (134 citations), Radiology, Nuclear Medicine and Imaging (104 citations) and Artificial Intelligence (133 citations). Gang Qu has collaborated with scholars based in United States, China and India. Frequent co-authors include Long Wang, Shancheng Jiang, Yu‐Ping Wang, Kwai‐Sang Chin, Kwok‐Leung Tsui, Vince D. Calhoun, Wenxing Hu, Li Xiao, Kun Zhang and Biao Cai. Their work appears in journals such as NeuroImage, Expert Systems with Applications and IEEE Transactions on Biomedical Engineering.
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.