Zhen Cui

1.1k total citations · 1 hit paper
24 papers, 754 citations indexed

About

Zhen Cui is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Zhen Cui has authored 24 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Biomedical Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Zhen Cui's work include Human Pose and Action Recognition (9 papers), Video Surveillance and Tracking Methods (6 papers) and Gait Recognition and Analysis (6 papers). Zhen Cui is often cited by papers focused on Human Pose and Action Recognition (9 papers), Video Surveillance and Tracking Methods (6 papers) and Gait Recognition and Analysis (6 papers). Zhen Cui collaborates with scholars based in China, Australia and Finland. Zhen Cui's co-authors include Wenming Zheng, Jian Yang, Yuan Zong, Chunyan Xu, Yang Li, Lei Wang, Chaolong Li, Shuicheng Yan, Jiashi Feng and Shengtao Xiao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and IEEE Transactions on Image Processing.

In The Last Decade

Zhen Cui

22 papers receiving 742 citations

Hit Papers

From Regional to Global Brain: A Novel Hierarchical Spati... 2019 2026 2021 2023 2019 50 100 150 200

Peers

Zhen Cui
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 386
  • Cognitive Neuroscience 198
  • Experimental and Cognitive Psychology 176
  • Artificial Intelligence 154
  • Human-Computer Interaction 105
Replace Kidiyo Kpalma with:
Kidiyo Kpalma France
Guojun Dai China
Jin Gao China
Wen‐Hung Liao Taiwan
Suhas Gajre India
Shahab Abdulla Australia
Qiuxia Lai China
Lijiang Chen China
Mingwu Ren China
Kidiyo Kpalma France View profile →
Citations per field, relative to Zhen Cui
Zhen Cui · 1×
Citations per year, relative to Zhen Cui
Zhen Cui · 1×

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-authorship network of co-authors of Zhen Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Cui. A scholar is included among the top collaborators of Zhen Cui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhen Cui. Zhen Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 2
4 6
5 1
6 5
7 11
8 42
9 10
10 9
11 39
12
From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition breakdown →
222
13 26
14 0
15 5
16 37
17 115
18 41
19 1
20 13

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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