Gui‐Fu Lu

528 total citations
37 papers, 372 citations indexed

About

Gui‐Fu Lu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computational Mathematics. According to data from OpenAlex, Gui‐Fu Lu has authored 37 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 15 papers in Computational Mechanics and 11 papers in Computational Mathematics. Recurrent topics in Gui‐Fu Lu's work include Face and Expression Recognition (26 papers), Sparse and Compressive Sensing Techniques (15 papers) and Tensor decomposition and applications (11 papers). Gui‐Fu Lu is often cited by papers focused on Face and Expression Recognition (26 papers), Sparse and Compressive Sensing Techniques (15 papers) and Tensor decomposition and applications (11 papers). Gui‐Fu Lu collaborates with scholars based in China. Gui‐Fu Lu's co-authors include Yong Wang, Jian Zou, Zhongqun Wang, Lei Luo, Jian Yang, Jianjun Qian, Ying Tai, Haibo Li, Jiachuan Yan and Shuo Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Gui‐Fu Lu

34 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gui‐Fu Lu China	11	300	106	105	71	39	37	372
Gui-Fu Lu China	12	341 1.1×	57 0.5×	127 1.2×	84 1.2×	46 1.2×	35	412
Kewei Tang China	9	236 0.8×	112 1.1×	90 0.9×	86 1.2×	26 0.7×	26	311
Lai Tian China	10	346 1.2×	50 0.5×	249 2.4×	86 1.2×	20 0.5×	14	469
Yuanyuan Jiao China	8	232 0.8×	68 0.6×	144 1.4×	73 1.0×	24 0.6×	22	343
Nenghai Yu China	4	264 0.9×	133 1.3×	92 0.9×	102 1.4×	25 0.6×	8	318
Vassilis Kalofolias Switzerland	5	72 0.2×	63 0.6×	113 1.1×	19 0.3×	25 0.6×	6	207
Jidong Zhao China	9	312 1.0×	31 0.3×	243 2.3×	49 0.7×	19 0.5×	17	442
Changbo Zhu United States	8	102 0.3×	118 1.1×	64 0.6×	58 0.8×	39 1.0×	14	291
Yangmuzi Zhang United States	6	256 0.9×	151 1.4×	123 1.2×	89 1.3×	51 1.3×	7	371

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hu, Bing, et al.. (2025). Multi-view clustering via view-specific consensus kernelized graph learning. Neurocomputing. 633. 129766–129766.

Lu, Gui‐Fu, et al.. (2025). Tensor idempotent representation with auto-weighted exponential tensor nuclear norm minimization for multi-view clustering. Applied Soft Computing. 175. 113103–113103.

Wang, Fei & Gui‐Fu Lu. (2025). Scalable one-pass multi-view clustering with tensorized multiscale bipartite graphs fusion. Neural Networks. 190. 107669–107669. 1 indexed citations

Lu, Gui‐Fu, et al.. (2024). Tensor-based global block-diagonal structure radiation for incomplete multiview clustering. Expert Systems with Applications. 255. 124788–124788. 3 indexed citations

Lu, Gui‐Fu, et al.. (2024). Coupled double self-expressive subspace clustering with low-rank tensor learning. Expert Systems with Applications. 255. 124619–124619. 1 indexed citations

Lu, Gui‐Fu, et al.. (2024). Specific and coupled double consistency multi-view subspace clustering with low-rank tensor learning. Signal Processing. 229. 109803–109803. 2 indexed citations

Lu, Gui‐Fu, et al.. (2024). An adaptive kernel dictionary-based low-rank representation method for subspace clustering. Neural Networks. 178. 106434–106434. 4 indexed citations

Lu, Gui‐Fu, et al.. (2023). Unbalanced incomplete multi-view clustering based on low-rank tensor graph learning. Expert Systems with Applications. 225. 120055–120055. 9 indexed citations

Fan, Lili, et al.. (2023). A fast anchor-based graph-regularized low-rank representation approach for large-scale subspace clustering. Machine Vision and Applications. 35(1). 2 indexed citations

10.

Lu, Gui‐Fu, et al.. (2023). Multi-view clustering using a flexible and optimal multi-graph fusion method. Engineering Applications of Artificial Intelligence. 128. 107452–107452. 4 indexed citations

11.

Xu, Xiaofeng, et al.. (2022). An end-to-end deep generative approach with meta-learning optimization for zero-shot object classification. Information Processing & Management. 60(2). 103233–103233. 4 indexed citations

12.

Lu, Gui‐Fu, et al.. (2022). Clean affinity matrix learning with rank equality constraint for multi-view subspace clustering. Pattern Recognition. 134. 109118–109118. 19 indexed citations

13.

Lu, Gui‐Fu, et al.. (2022). Tensor subspace clustering using consensus tensor low-rank representation. Information Sciences. 609. 46–59. 20 indexed citations

14.

Lu, Gui‐Fu, et al.. (2020). Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint. Neural Networks. 125. 214–223. 24 indexed citations

15.

Chen, Shuo, et al.. (2019). δ-Norm-Based Robust Regression With Applications to Image Analysis. IEEE Transactions on Cybernetics. 51(6). 3371–3383. 10 indexed citations

16.

Lu, Gui‐Fu, Yong Wang, Jian Zou, & Zhongqun Wang. (2017). Matrix exponential based discriminant locality preserving projections for feature extraction. Neural Networks. 97. 127–136. 26 indexed citations

17.

Wang, Jun, et al.. (2017). Iterative self-adapting color image enhancement base on chroma and hue constrain. 12. 303–308.

18.

Luo, Lei, Jian Yang, Jianjun Qian, Ying Tai, & Gui‐Fu Lu. (2016). Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise. IEEE Transactions on Neural Networks and Learning Systems. 28(9). 2168–2182. 48 indexed citations

19.

Lu, Gui‐Fu, et al.. (2016). Convolutional neural network for facial expression recognition. Journal of Nanjing University of Posts and Telecommunications. 36(1). 16–22. 9 indexed citations

20.

Lu, Gui‐Fu, Jian Zou, Yong Wang, & Zhongqun Wang. (2016). L1-norm-based principal component analysis with adaptive regularization. Pattern Recognition. 60. 901–907. 22 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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