Chen Qiao
Impact in
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- Functional Brain Connectivity Studies
Papers in
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- Neural Networks and Applications 7
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- Functional Brain Connectivity Studies 11
- Co-authors
- Bin Zi (1 shared paper)Qingsong Xu (1 shared paper)Yuan Li (1 shared paper)Qi Sun (1 shared paper)Ying Sun (1 shared paper)Jian‐Mei Li (1 shared paper)Tao Le (1 shared paper)Lei Zhang (1 shared paper)
- Journals
- Neurocomputing (6 papers)Computers in Biology and Medicine (3 papers)Neural Networks (2 papers)Applied Sciences (2 papers)Clinical & Translational Oncology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chen Qiao
45 papers receiving 498 citations
Peers
Comparison fields: 5 of 122
- Cognitive Neuroscience 71
- Rehabilitation 25
- Control and Systems Engineering 73
- Food Science 54
- Biochemistry 15
Countries citing papers authored by Chen Qiao
This map shows the geographic impact of Chen Qiao'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 Chen Qiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Qiao more than expected).
Fields of papers citing papers by Chen Qiao
This network shows the impact of papers produced by Chen Qiao. 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 Chen Qiao. The network helps show where Chen Qiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Qiao, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 96 | |
| 2 | 2020 | 92 | |
| 3 | 2022 | 47 | |
| 4 | 2023 | 31 | |
| 5 | 2014 | 17 | |
| 6 | 2019 | 14 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2013 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2011 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 2019 | 7 |
About Chen Qiao
Chen Qiao is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 509 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (11 papers), Neural Networks and Applications (7 papers), Neural Networks Stability and Synchronization (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Sparse and Compressive Sensing Techniques (4 papers), Advanced MRI Techniques and Applications (3 papers), Image and Signal Denoising Methods (3 papers) and Model Reduction and Neural Networks (3 papers). The work is most often cited by research in Cognitive Neuroscience (71 citations), Rehabilitation (25 citations), Control and Systems Engineering (73 citations), Food Science (54 citations) and Biochemistry (15 citations). Chen Qiao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bin Zi, Qingsong Xu, Yuan Li, Qi Sun, Ying Sun, Jian‐Mei Li, Tao Le, Lei Zhang, Yu‐Ping Wang and Vince D. Calhoun. Their work appears in journals such as Neurocomputing, Computers in Biology and Medicine, Neural Networks, Applied Sciences and Clinical & Translational Oncology.
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.