Qingjun Wang
Impact in
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- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
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- Video Surveillance and Tracking Methods 2
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- EEG and Brain-Computer Interfaces 4
- Neural dynamics and brain function 2
- Co-authors
- Yibo Li (2 shared papers)Zhihan Lv (2 shared papers)Yibo Li (1 shared paper)Liang Qiao (2 shared papers)Francesco Piccialli (1 shared paper)Guangming Li (1 shared paper)Zhendong Mu (1 shared paper)Ke Lü (1 shared paper)
In The Last Decade
Qingjun Wang
15 papers receiving 264 citations
Peers
Comparison fields: 5 of 87
- Business and International Management 8
- Cognitive Neuroscience 74
- Experimental and Cognitive Psychology 43
- Human-Computer Interaction 17
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by Qingjun Wang
This map shows the geographic impact of Qingjun Wang'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 Qingjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingjun Wang more than expected).
Fields of papers citing papers by Qingjun Wang
This network shows the impact of papers produced by Qingjun Wang. 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 Qingjun Wang. The network helps show where Qingjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingjun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 73 | |
| 2 | 2018 | 61 | |
| 3 | 2018 | 38 | |
| 4 | 2018 | 25 | |
| 5 | 2018 | 21 | |
| 6 | 2013 | 13 | |
| 7 | 2021 | 8 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2023 | 4 | |
| 13 | Supervised Laplacian Discriminant Analysis for Small Sample Size Problem with Its Application to Face Recognition | 2012 | 3 |
| 14 | 2025 | 2 | |
| 15 | 2011 | 2 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 |
About Qingjun Wang
Qingjun Wang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, Control and Systems Engineering and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 274 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Neural Networks and Applications (3 papers), Advanced Algorithms and Applications (2 papers), Neural dynamics and brain function (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Video Surveillance and Tracking Methods (2 papers), Plant Water Relations and Carbon Dynamics (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Business and International Management (8 citations), Cognitive Neuroscience (74 citations), Experimental and Cognitive Psychology (43 citations), Human-Computer Interaction (17 citations) and Computer Vision and Pattern Recognition (61 citations). Qingjun Wang has collaborated with scholars based in China, Italy and India. Frequent co-authors include Yibo Li, Zhihan Lv, Yibo Li, Liang Qiao, Francesco Piccialli, Guangming Li, Zhendong Mu, Ke Lü, Mingquan Zhou and Zhongke Wu. Their work appears in journals such as ACM Transactions on Internet Technology, Neural Computing and Applications, iScience, Journal of Forecasting and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.