Gui-Fu Lu

51 total papers · 558 total citations
35 papers, 404 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 404 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, Yue Zhang, Chuancai Liu, Zhiyuan Huang, Ming Jiang and Jian Zhang 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 396 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gui-Fu Lu 333 121 84 57 46 35 404
Guangliang Chen 262 0.8× 125 1.0× 112 1.3× 131 2.3× 41 0.9× 26 398
Taisong Jin 232 0.7× 117 1.0× 56 0.7× 65 1.1× 33 0.7× 29 385
Binbin Pan 286 0.9× 90 0.7× 90 1.1× 61 1.1× 42 0.9× 43 418
Yin‐Ping Zhao 256 0.8× 141 1.2× 58 0.7× 48 0.8× 20 0.4× 28 445
Xiaodong Wang 333 1.0× 242 2.0× 55 0.7× 28 0.5× 28 0.6× 32 469
Lele Fu 283 0.8× 263 2.2× 45 0.5× 41 0.7× 24 0.5× 27 450
Chong Peng 315 0.9× 209 1.7× 101 1.2× 136 2.4× 38 0.8× 18 460
Jidong Zhao 312 0.9× 243 2.0× 49 0.6× 31 0.5× 19 0.4× 17 442
Ben Yang 311 0.9× 180 1.5× 58 0.7× 32 0.6× 24 0.5× 32 398
Tao Wang 328 1.0× 73 0.6× 76 0.9× 16 0.3× 9 0.2× 33 441

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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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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