Zhen Cui
Impact in
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- Emotion and Mood Recognition
- Human-Computer Interaction top 2%
- Gaze Tracking and Assistive Technology
Papers in
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- Emotion and Mood Recognition 17
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- Face and Expression Recognition 15
- Face recognition and analysis 5
- Human Pose and Action Recognition 3
Zhen Cui
27 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Experimental and Cognitive Psychology 1.1k
- Human-Computer Interaction 221
- Cognitive Neuroscience 724
- Computer Vision and Pattern Recognition 658
- Signal Processing 211
Countries citing papers authored by Zhen Cui
This map shows the geographic impact of Zhen Cui'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 Zhen Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Cui more than expected).
Fields of papers citing papers by Zhen Cui
This network shows the impact of papers produced by Zhen Cui. 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 Zhen Cui. The network helps show where Zhen Cui may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhen Cui, 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 | 2025 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 0 | |
| 4 | Decoupled Multimodal Distilling for Emotion Recognition Hit paper breakdown → | 2023 | 96 |
| 5 | 2022 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 63 | |
| 8 | Spatial–Temporal Recurrent Neural Network for Emotion Recognition Hit paper breakdown → | 2018 | 421 |
| 9 | 2018 | 8 | |
| 10 | 2018 | 110 | |
| 11 | A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition Hit paper breakdown → | 2018 | 259 |
| 12 | 2018 | 72 | |
| 13 | 2018 | 66 | |
| 14 | 2018 | 58 | |
| 15 | 2018 | 10 | |
| 16 | 2017 | 26 | |
| 17 | 2016 | 29 | |
| 18 | 2016 | 9 | |
| 19 | 2012 | 4 | |
| 20 | 2011 | 21 |
About Zhen Cui
Zhen Cui is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Signal Processing, Urban Studies and Human-Computer Interaction, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (17 papers), Face and Expression Recognition (15 papers), Speech and Audio Processing (5 papers), EEG and Brain-Computer Interfaces (5 papers), Face recognition and analysis (5 papers), Human Pose and Action Recognition (3 papers), Advanced Computing and Algorithms (3 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.1k citations), Human-Computer Interaction (221 citations), Cognitive Neuroscience (724 citations), Computer Vision and Pattern Recognition (658 citations) and Signal Processing (211 citations). Zhen Cui has collaborated with scholars based in China, Chile and Finland. Frequent co-authors include Wenming Zheng, Yuan Zong, Tong Zhang, Yang Li, Jingwei Yan, Keyu Yan, Xiaoyan Zhou, Tong Zhang, Xiaohua Huang and Guoying Zhao. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, Neurocomputing, Journal of Hydrology and IEEE Transactions on Cybernetics.
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.