Qingjun Wang
Impact in
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- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
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- Sleep and Work-Related Fatigue
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)Yibo Li (1 shared paper)Zhihan Lv (3 shared papers)Liang Qiao (2 shared papers)Francesco Piccialli (1 shared paper)Guangming Li (1 shared paper)Lizhi Xie (1 shared paper)Fuqing Duan (1 shared paper)
In The Last Decade
Qingjun Wang
15 papers receiving 258 citations
Peers
Comparison fields: 5 of 86
- Cognitive Neuroscience 75
- Experimental and Cognitive Psychology 42
- Human-Computer Interaction 17
- Computer Vision and Pattern Recognition 63
- Business and International Management 6
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 | 70 | |
| 2 | 2018 | 60 | |
| 3 | 2018 | 39 | |
| 4 | 2018 | 25 | |
| 5 | 2018 | 21 | |
| 6 | 2013 | 13 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2023 | 3 | |
| 13 | Supervised Laplacian Discriminant Analysis for Small Sample Size Problem with Its Application to Face Recognition | 2012 | 3 |
| 14 | 2011 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About Qingjun Wang
Qingjun Wang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Control and Systems Engineering, Artificial Intelligence and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 268 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Neural Networks and Applications (2 papers), Advanced Algorithms and Applications (2 papers), Video Surveillance and Tracking Methods (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Neural dynamics and brain function (2 papers), Gaze Tracking and Assistive Technology (1 paper) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Cognitive Neuroscience (75 citations), Experimental and Cognitive Psychology (42 citations), Human-Computer Interaction (17 citations), Computer Vision and Pattern Recognition (63 citations) and Business and International Management (6 citations). Qingjun Wang has collaborated with scholars based in China, Italy and India. Frequent co-authors include Yibo Li, Yibo Li, Zhihan Lv, Liang Qiao, Francesco Piccialli, Guangming Li, Lizhi Xie, Fuqing Duan, Ke Lü and Zhongke Wu. Their work appears in journals such as ACM Transactions on Internet Technology, Neural Computing and Applications, iScience, Frontiers in Forests and Global Change and Sustainable Energy Technologies and Assessments.
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.