Zhihui Lai

3.3k total citations
103 papers, 2.4k citations indexed

About

Zhihui Lai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Zhihui Lai has authored 103 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Vision and Pattern Recognition, 47 papers in Artificial Intelligence and 23 papers in Media Technology. Recurrent topics in Zhihui Lai's work include Face and Expression Recognition (53 papers), Domain Adaptation and Few-Shot Learning (24 papers) and Sparse and Compressive Sensing Techniques (19 papers). Zhihui Lai is often cited by papers focused on Face and Expression Recognition (53 papers), Domain Adaptation and Few-Shot Learning (24 papers) and Sparse and Compressive Sensing Techniques (19 papers). Zhihui Lai collaborates with scholars based in China, Hong Kong and Canada. Zhihui Lai's co-authors include Wai Keung Wong, David Zhang, Yuwu Lu, Xuelong Li, Xiaozhao Fang, Linlin Shen, Yong Xu, Zhong Jin, Zheng Zhang and Jie Zhou and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Zhihui Lai

97 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhihui Lai China 28 1.8k 782 506 499 200 103 2.4k
Xiaozhao Fang China 25 1.8k 1.0× 968 1.2× 560 1.1× 615 1.2× 233 1.2× 83 2.5k
Zhihui Lai China 35 2.4k 1.4× 942 1.2× 788 1.6× 667 1.3× 385 1.9× 130 3.4k
Chenping Hou China 25 1.7k 1.0× 1.2k 1.5× 284 0.6× 467 0.9× 151 0.8× 102 2.4k
Yu‐Jin Zhang China 23 1.7k 1.0× 563 0.7× 244 0.5× 396 0.8× 236 1.2× 143 2.6k
Dacheng Tao United Kingdom 14 2.2k 1.2× 846 1.1× 228 0.5× 544 1.1× 254 1.3× 23 2.8k
Qianqian Wang China 24 1.9k 1.1× 924 1.2× 653 1.3× 252 0.5× 157 0.8× 97 2.7k
Quanxue Gao China 32 2.4k 1.4× 1.7k 2.1× 322 0.6× 495 1.0× 238 1.2× 139 3.4k
Yuxiao Hu United States 19 3.4k 1.9× 852 1.1× 530 1.0× 623 1.2× 719 3.6× 56 4.0k
Yong Luo China 22 1.2k 0.7× 1.0k 1.3× 154 0.3× 311 0.6× 123 0.6× 116 2.1k

Countries citing papers authored by Zhihui Lai

Since Specialization
Citations

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

Fields of papers citing papers by Zhihui Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhihui Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhihui Lai. A scholar is included among the top collaborators of Zhihui Lai 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 Zhihui Lai. Zhihui Lai 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.
Cui, Jinrong, et al.. (2025). Nonlinear multi-view clustering for non-negative matrix factorization. Neural Networks. 191. 107744–107744.
2.
Lu, Yuwu, et al.. (2025). Multiple Adaptation Network for Multi-Source and Multi-Target Domain Adaptation. IEEE Transactions on Multimedia. 27. 5731–5745. 1 indexed citations
3.
Lu, Yuwu, et al.. (2025). Adaptive Dispersal and Collaborative Clustering for Few-Shot Unsupervised Domain Adaptation. IEEE Transactions on Image Processing. 34. 4273–4285. 3 indexed citations
4.
Lu, Yuwu, et al.. (2025). Semantic Dual-Adversarial Network for Blended-Target Domain Adaptation. IEEE Transactions on Multimedia. 27. 7930–7945. 1 indexed citations
5.
Lai, Zhihui, et al.. (2024). A pendulum-type annular dielectric elastomer generator for multi-directional ultra-low-frequency vibration energy harvesting. Mechanical Systems and Signal Processing. 220. 111704–111704. 7 indexed citations
6.
Wong, Wai Keung, Yuwu Lu, Junyi Wu, Zhihui Lai, & Xuelong Li. (2024). Approximate geometric structure transfer for cross-domain image classification. Pattern Recognition. 159. 111105–111105. 5 indexed citations
7.
Wen, Jiajun, et al.. (2024). LPRR: Locality preserving robust regression based jointly sparse feature extraction. Information Sciences. 680. 121128–121128. 1 indexed citations
8.
Lai, Zhihui, et al.. (2024). GOAL: Generalized Jointly Sparse Linear Discriminant Regression for Feature Extraction. IEEE Transactions on Artificial Intelligence. 5(10). 4959–4971. 1 indexed citations
9.
Wong, Wai Keung, et al.. (2024). Correlation-Guided Distribution and Geometry Alignments for Heterogeneous Domain Adaptation. IEEE Transactions on Multimedia. 26. 10741–10754.
10.
Lu, Yuwu, Wai Keung Wong, Chun Yuan, Zhihui Lai, & Xuelong Li. (2023). Low-Rank Correlation Learning for Unsupervised Domain Adaptation. IEEE Transactions on Multimedia. 26. 4153–4167. 14 indexed citations
11.
Wang, Ye, Junyang Chen, Mengzhu Wang, et al.. (2023). A Closer Look at Classifier in Adversarial Domain Generalization. 280–289. 9 indexed citations
12.
Liu, Feng, et al.. (2022). Multi-Layered Minutiae Extraction Based on Fusion-Attention for OCT Fingerprints. IEEE Transactions on Biometrics Behavior and Identity Science. 5(2). 221–232. 4 indexed citations
13.
Lu, Yuwu, Wenjing Wang, Biqing Zeng, et al.. (2022). Canonical Correlation Analysis With Low-Rank Learning for Image Representation. IEEE Transactions on Image Processing. 31. 7048–7062. 5 indexed citations
14.
Lu, Yuwu, et al.. (2021). Discriminative Invariant Alignment for Unsupervised Domain Adaptation. IEEE Transactions on Multimedia. 24. 1871–1882. 54 indexed citations
15.
Lu, Yuwu, Wenjing Wang, Chun Yuan, Xuelong Li, & Zhihui Lai. (2020). Manifold Transfer Learning via Discriminant Regression Analysis. IEEE Transactions on Multimedia. 23. 2056–2070. 32 indexed citations
16.
Lu, Yuwu, Wai Keung Wong, Zhihui Lai, & Xuelong Li. (2019). Robust Flexible Preserving Embedding. IEEE Transactions on Cybernetics. 50(10). 4495–4507. 18 indexed citations
17.
Lu, Yuwu, Zhihui Lai, Xuelong Li, et al.. (2018). Low-Rank 2-D Neighborhood Preserving Projection for Enhanced Robust Image Representation. IEEE Transactions on Cybernetics. 49(5). 1859–1872. 54 indexed citations
18.
Fang, Xiaozhao, et al.. (2018). Regularized Label Relaxation Linear Regression. IEEE Transactions on Neural Networks and Learning Systems. 29(4). 1006–1018. 98 indexed citations
19.
Lu, Yuwu, Chun Yuan, Xuelong Li, et al.. (2018). Structurally Incoherent Low-Rank 2DLPP for Image Classification. IEEE Transactions on Circuits and Systems for Video Technology. 29(6). 1701–1714. 23 indexed citations
20.
Lu, Yuwu, Zhihui Lai, Xuelong Li, et al.. (2017). Learning Parts-Based and Global Representation for Image Classification. IEEE Transactions on Circuits and Systems for Video Technology. 28(12). 3345–3360. 15 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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