Gui-Fu Lu

566 total citations
35 papers, 412 citations indexed

About

Gui-Fu Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Urban Studies. According to data from OpenAlex, Gui-Fu Lu has authored 35 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 8 papers in Urban Studies. Recurrent topics in Gui-Fu Lu's work include Face and Expression Recognition (30 papers), Advanced Computing and Algorithms (8 papers) and Image Retrieval and Classification Techniques (7 papers). Gui-Fu Lu is often cited by papers focused on Face and Expression Recognition (30 papers), Advanced Computing and Algorithms (8 papers) and Image Retrieval and Classification Techniques (7 papers). Gui-Fu Lu collaborates with scholars based in China and Bangladesh. Gui-Fu Lu's co-authors include Zhong Jin, Jian Zou, Yong Wang, Wenming Zheng, Hua Li, Chuancai Liu, Yue Zhang, Ming Jiang, Jian Zhang and Zhiyuan Huang and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Gui-Fu Lu

32 papers receiving 403 citations

Peers

Gui-Fu Lu

CVPR

AI

MT

CM

SP

Gui‐Fu Lu China

Lai Tian China

Kewei Tang China

Haifeng Zhao China

Lele Fu China

Yuanyuan Jiao China

Jidong Zhao China

Ben Yang China

Yangmuzi Zhang United States

Zhaoshui He China

Gui‐Fu Lu China

Gui-Fu Lu

300 ×0.9

CVPR

105 ×0.8

AI

71 ×0.8

MT

106 ×1.9

CM

39 ×0.8

SP

Citations per year, relative to Gui-Fu Lu Gui-Fu Lu (= 1×) peers Gui‐Fu Lu

Countries citing papers authored by Gui-Fu Lu

Since Specialization

Citations

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

Fields of papers citing papers by Gui-Fu Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gui-Fu Lu. 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 Gui-Fu Lu. The network helps show where Gui-Fu Lu may publish in the future.

Co-authorship network of co-authors of Gui-Fu Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Gui-Fu Lu. A scholar is included among the top collaborators of Gui-Fu Lu 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 Gui-Fu Lu. Gui-Fu Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Wang, Yong, et al.. (2025). KanDMVC: KAN be used for deep multi-view clustering?. Expert Systems with Applications. 273. 126868–126868.

2.

Lu, Gui-Fu, et al.. (2024). Tensorized latent representation with automatic dimensionality selection for multi-view clustering. Pattern Recognition. 160. 111192–111192. 4 indexed citations

3.

Lu, Gui-Fu, et al.. (2024). Comprehensive consensus representation learning for incomplete multiview subspace clustering. Information Sciences. 678. 120935–120935. 4 indexed citations

4.

Lu, Gui-Fu, et al.. (2024). Tensorized Scaled Simplex Representation for Multi-View Clustering. IEEE Transactions on Multimedia. 26. 6621–6631. 17 indexed citations

5.

Lu, Gui-Fu, et al.. (2023). Robust subspace clustering via multi-affinity matrices fusion. Knowledge-Based Systems. 278. 110874–110874. 3 indexed citations

6.

Lu, Gui-Fu, et al.. (2023). Scalable incomplete multi-view clustering via tensor Schatten p-norm and tensorized bipartite graph. Engineering Applications of Artificial Intelligence. 123. 106379–106379. 5 indexed citations

7.

Lu, Gui-Fu, et al.. (2023). Robust and optimal neighborhood graph learning for multi-view clustering. Information Sciences. 631. 429–448. 22 indexed citations

8.

Lu, Gui-Fu, et al.. (2023). Multi-view clustering indicator learning with scaled similarity. Pattern Analysis and Applications. 26(3). 1395–1406.

9.

Lu, Gui-Fu, et al.. (2023). Multi-view clustering based on a multimetric matrix fusion method. Expert Systems with Applications. 228. 120272–120272. 5 indexed citations

10.

Lu, Gui-Fu, et al.. (2023). Robust Least Squares Regression for Subspace Clustering: A Multi-View Clustering Perspective. IEEE Transactions on Image Processing. 33. 216–227. 10 indexed citations

11.

Lu, Gui-Fu, et al.. (2022). Double structure scaled simplex representation for multi-view subspace clustering. Neural Networks. 151. 168–177. 20 indexed citations

12.

Lu, Gui-Fu, et al.. (2022). Consensus similarity learning based on tensor nuclear norm. Machine Vision and Applications. 34(1). 1 indexed citations

13.

Fan, Lili, et al.. (2021). Block Diagonal Sparse Subspace Clustering. 2021 13th International Conference on Wireless Communications and Signal Processing (WCSP). 27. 1–6. 2 indexed citations

14.

Lu, Gui-Fu, et al.. (2018). Block Principle Component Analysis with Lp-norm for Robust and Sparse Modelling. Journal of Shanghai Jiaotong University (Science). 23(3). 398–403.

15.

Lu, Gui-Fu & Jian Zou. (2015). Incremental maximum margin criterion based on eigenvalue decomposition updating algorithm. Machine Vision and Applications. 26(6). 807–817. 1 indexed citations

16.

Lu, Gui-Fu & Wenming Zheng. (2013). Complexity-reduced implementations of complete and null-space-based linear discriminant analysis. Neural Networks. 46. 165–171. 13 indexed citations

17.

Lu, Gui-Fu, Jian Zou, & Yong Wang. (2012). Incremental learning of discriminant common vectors for feature extraction. Applied Mathematics and Computation. 218(22). 11269–11278. 11 indexed citations

18.

Zou, Jian, Chuancai Liu, Yue Zhang, & Gui-Fu Lu. (2012). Object recognition using Gabor co-occurrence similarity. Pattern Recognition. 46(1). 434–448. 16 indexed citations

19.

Lu, Gui-Fu, et al.. (2011). Orthogonal Complete Discriminant Locality Preserving Projections for Face Recognition. Neural Processing Letters. 33(3). 235–250. 1 indexed citations

20.

Lu, Gui-Fu, et al.. (2010). Face recognition using discriminant locality preserving projections based on maximum margin criterion. Pattern Recognition. 43(10). 3572–3579. 83 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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