Zhen Cui

1.1k citations
26 papers · 769 · 1 hit paper · h-index 12

Impact in

Papers in

Zhen Cui

20 papers receiving 758 citations

Zhen Cui's Hit Papers

From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition 2019 · 233 citations
2330+2+4Years since publication50100150200

Peers

Zhen Cui
Comparison fields: 5 of 82
  • Human-Computer Interaction 109
  • Computer Vision and Pattern Recognition 387
  • Experimental and Cognitive Psychology 183
  • Cognitive Neuroscience 201
  • Artificial Intelligence 154
Replace Guojun Dai with:
Guojun Dai China
Sarfaraz Masood India
Matthew Shreve United States
Suhas Gajre India
Mingwu Ren China
Qingshan She China
Wen‐Hung Liao Taiwan
Bhakti Baheti United States
Eva Cheng Australia
Zhen Cui relative to Guojun Dai China Guojun Dai's profile →
Citations per field
00.5×3.2×
Guojun Dai · 1×
Citations per year

Countries citing papers authored by Zhen Cui

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Zhen Cui Line = papers co-authored together Zhen Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition
Hit paper breakdown →
2019233
2 2018114
3 2016110
4 202244
5 201841
6 202040
7 201837
8 201732
9 201927
10 201815
11 201413
12 202212
13 202110
14 202110
15 20189
16 20247
17 20245
18 20185
19 20243
20 20251

About Zhen Cui

Zhen Cui is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, Human-Computer Interaction and Environmental Engineering, having authored 26 papers that have together received 769 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (9 papers), Gait Recognition and Analysis (6 papers), Video Surveillance and Tracking Methods (6 papers), Anomaly Detection Techniques and Applications (4 papers), Hand Gesture Recognition Systems (3 papers), Advanced Vision and Imaging (3 papers), Image Enhancement Techniques (2 papers) and Photonic and Optical Devices (2 papers). The work is most often cited by research in Human-Computer Interaction (109 citations), Computer Vision and Pattern Recognition (387 citations), Experimental and Cognitive Psychology (183 citations), Cognitive Neuroscience (201 citations) and Artificial Intelligence (154 citations). Zhen Cui has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Wenming Zheng, Jian Yang, Yuan Zong, Lei Wang, Yang Li, Chunyan Xu, Chaolong Li, Shuicheng Yan, Shengtao Xiao and Jiashi Feng. Their work appears in journals such as Advanced Science, IEEE Transactions on Image Processing, Journal of Hydrology, Pattern Recognition and Neurocomputing.

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.

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