Xuelong Li

62.1k total citations · 35 hit papers
773 papers, 46.5k citations indexed

About

Xuelong Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Xuelong Li has authored 773 papers receiving a total of 46.5k indexed citations (citations by other indexed papers that have themselves been cited), including 610 papers in Computer Vision and Pattern Recognition, 163 papers in Artificial Intelligence and 156 papers in Media Technology. Recurrent topics in Xuelong Li's work include Advanced Image and Video Retrieval Techniques (198 papers), Face and Expression Recognition (161 papers) and Image Retrieval and Classification Techniques (133 papers). Xuelong Li is often cited by papers focused on Advanced Image and Video Retrieval Techniques (198 papers), Face and Expression Recognition (161 papers) and Image Retrieval and Classification Techniques (133 papers). Xuelong Li collaborates with scholars based in China, United Kingdom and Singapore. Xuelong Li's co-authors include Dacheng Tao, Feiping Nie, Xinbo Gao, Xindong Wu, Ling Shao, Xiaoqiang Lu, Stephen J. Maybank, Shichao Zhang, Dacheng Tao and Xiaofeng Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Bioinformatics.

In The Last Decade

Xuelong Li

744 papers receiving 45.4k citations

Hit Papers

Computer vision and pattern recognition 2006 2026 2012 2019 2007 2017 2007 2015 2014 500 1000 1.5k

Peers

Xuelong Li
Comparison fields: 5 of 213
  • Computer Vision and Pattern Recognition 32.8k
  • Artificial Intelligence 11.7k
  • Media Technology 9.4k
  • Computational Mechanics 3.5k
  • Signal Processing 3.4k
Replace Dacheng Tao with:
Dacheng Tao Australia
Lei Zhang China
Thomas S. Huang United States
William T. Freeman United States
Rama Chellappa United States
Jian Yang China
Shuicheng Yan China
Ling Shao China
Chih‐Jen Lin Taiwan
Yi Yang China
Dacheng Tao Australia View profile →
Citations per field, relative to Xuelong Li
Xuelong Li · 1×
Citations per year, relative to Xuelong Li
Xuelong Li · 1×

Countries citing papers authored by Xuelong Li

Since Specialization
Citations

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

Fields of papers citing papers by Xuelong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuelong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xuelong Li. A scholar is included among the top collaborators of Xuelong Li 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 Xuelong Li. Xuelong Li 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
# Work Indexed citations
1 0
2 0
3 0
4 4
5 11
6 0
7 16
8 1
9 7
10 6
11 2
12 10
13 3
14 15
15 13
16 49
17 25
18
CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion breakdown →
337
19 227
20 79

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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