Zhen Lei

3.8k total citations · 1 hit paper
36 papers, 2.0k citations indexed

About

Zhen Lei is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Zhen Lei has authored 36 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 10 papers in Signal Processing. Recurrent topics in Zhen Lei's work include Face and Expression Recognition (31 papers), Face recognition and analysis (18 papers) and Biometric Identification and Security (10 papers). Zhen Lei is often cited by papers focused on Face and Expression Recognition (31 papers), Face recognition and analysis (18 papers) and Biometric Identification and Security (10 papers). Zhen Lei collaborates with scholars based in China, Finland and United States. Zhen Lei's co-authors include Stan Z. Li, Yi Dong, Matti Pietikäinen, Shengcai Liao, Xiaojie Guo, Changqing Zhang, Junjie Yan, Xiaobo Wang, Bin Yang and Zhiwei Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Zhen Lei

34 papers receiving 1.9k citations

Hit Papers

Learning Discriminant Face Descriptor 2013 2026 2017 2021 2013 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Learning Discriminant Face Descriptor
    2013 277 citations Zhen Lei, Matti Pietikäinen et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zhen Lei China 21 1.8k 688 272 198 126 36 2.0k
William J. Worek United States 5 1.7k 0.9× 788 1.1× 146 0.5× 117 0.6× 176 1.4× 6 2.0k
Jaesik Min United States 7 1.7k 0.9× 697 1.0× 190 0.7× 132 0.7× 172 1.4× 9 1.9k
Songfan Yang United States 19 1.0k 0.6× 109 0.2× 311 1.1× 160 0.8× 54 0.4× 41 1.3k
Avinash Ravichandran United States 11 831 0.5× 107 0.2× 465 1.7× 123 0.6× 142 1.1× 18 1.1k
Gaoyun An China 19 778 0.4× 78 0.1× 276 1.0× 72 0.4× 58 0.5× 115 956
Rong-Xiang Hu China 11 581 0.3× 208 0.3× 80 0.3× 135 0.7× 71 0.6× 15 721
Venice Erin Liong Singapore 16 1.5k 0.8× 260 0.4× 211 0.8× 85 0.4× 26 0.2× 23 1.6k
Matthieu Guillaumin Switzerland 14 1.8k 1.0× 154 0.2× 697 2.6× 182 0.9× 67 0.5× 22 2.1k
Shudong Huang China 16 837 0.5× 45 0.1× 561 2.1× 202 1.0× 97 0.8× 32 1.1k

Countries citing papers authored by Zhen Lei

Since Specialization
Citations

This map shows the geographic impact of Zhen Lei'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 Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Lei more than expected).

Fields of papers citing papers by Zhen Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen Lei. 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 Lei. The network helps show where Zhen Lei may publish in the future.

Co-authorship network of co-authors of Zhen Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Lei. A scholar is included among the top collaborators of Zhen Lei 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 Lei. Zhen Lei 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
1.
Li, Siyuan, Luyuan Zhang, Zicheng Liu, et al.. (2025). MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 19713–19723. 1 indexed citations
2.
Zang, Zelin, et al.. (2025). MuST: multiple-modality structure transformation for single-cell spatial transcriptomics. Briefings in Bioinformatics. 26(4).
3.
Zhang, Liudong, et al.. (2024). Distributed PV carrying capacity prediction and assessment for differentiated scenarios based on CNN-GRU deep learning. Frontiers in Energy Research. 12. 2 indexed citations
4.
Rocha, Anderson, Kevin W. Bowyer, Luisa Verdoliva, et al.. (2024). Cutting-Edge Biometrics Research: Selected Best Papers From IJCB 2023. IEEE Transactions on Biometrics Behavior and Identity Science. 6(4). 439–442.
5.
Wang, Xiaobo, Zhen Lei, Xiaojie Guo, et al.. (2018). Multi-view subspace clustering with intactness-aware similarity. Pattern Recognition. 88. 50–63. 132 indexed citations
6.
Wang, Xiaobo, Zhen Lei, Shengcai Liao, et al.. (2018). Dependence-Aware Feature Coding for Person Re-Identification. IEEE Signal Processing Letters. 25(4). 506–510. 2 indexed citations
7.
Wang, Xiaobo, Xiaojie Guo, Zhen Lei, Changqing Zhang, & Stan Z. Li. (2017). Exclusivity-Consistency Regularized Multi-view Subspace Clustering. 1–9. 230 indexed citations
8.
Guo, Jianzhu, Shuai Zhou, Jinlin Wu, et al.. (2017). Multi-modality Network with Visual and Geometrical Information for Micro Emotion Recognition. 814–819. 30 indexed citations
9.
Lei, Zhen, Yi Dong, & Stan Z. Li. (2014). Local Gradient Order Pattern for Face Representation and Recognition. 387–392. 11 indexed citations
10.
Lei, Zhen, Matti Pietikäinen, & Stan Z. Li. (2013). Learning Discriminant Face Descriptor. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(2). 289–302. 277 indexed citations breakdown →
11.
Li, Stan Z., Yi Dong, Zhen Lei, & Shengcai Liao. (2013). The CASIA NIR-VIS 2.0 Face Database. 348–353. 253 indexed citations
12.
Huang, Xiangsheng, Zhen Lei, Mingyu Fan, Xiao Wang, & Stan Z. Li. (2012). Regularized Discriminative Spectral Regression Method for Heterogeneous Face Matching. IEEE Transactions on Image Processing. 22(1). 353–362. 70 indexed citations
13.
Lei, Zhen, Shengcai Liao, Anil K. Jain, & Stan Z. Li. (2012). Coupled Discriminant Analysis for Heterogeneous Face Recognition. IEEE Transactions on Information Forensics and Security. 7(6). 1707–1716. 76 indexed citations
14.
Lei, Zhen, Timo Ahonen, Matti Pietikäinen, & Stan Z. Li. (2011). Local frequency descriptor for low-resolution face recognition. 161–166. 42 indexed citations
15.
Dong, Yi, et al.. (2011). Regularized Transfer Boosting for Face Detection Across Spectrum. IEEE Signal Processing Letters. 19(3). 131–134. 20 indexed citations
16.
Dong, Yi, et al.. (2011). Low-resolution face recognition via Simultaneous Discriminant Analysis. 1–6. 27 indexed citations
17.
Lei, Zhen & Stan Z. Li. (2010). Contextual constraints based linear discriminant analysis. Pattern Recognition Letters. 32(4). 626–632. 5 indexed citations
18.
Lei, Zhen & Stan Z. Li. (2009). Coupled Spectral Regression for matching heterogeneous faces. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 1123–1128. 134 indexed citations
19.
Lei, Zhen, et al.. (2009). Coupled Spectral Regression for matching heterogeneous faces. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 47 indexed citations
20.
Fan, Bin, Zhen Lei, & Stan Z. Li. (2008). Normalized LDA for semi-supervised learning. 1–6. 6 indexed citations

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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