Xiaofeng Li

1.3k citations
116 papers · 792 · h-index 16

Impact in

Papers in

Xiaofeng Li

104 papers receiving 763 citations

Peers

Xiaofeng Li
Comparison fields: 5 of 149
  • Computer Vision and Pattern Recognition 257
  • Media Technology 81
  • Neurology 48
  • Artificial Intelligence 162
  • Developmental Neuroscience 20
Replace Wei Dai with:
Wei Dai China
Yiming Wu China
S. Palanivel India
Mohamed A. Mohamed Egypt
Peishu Wu China
Yurong Chen China
Roger Weber Switzerland
Guitao Cao China
S. Ravi India
Xiaofeng Li relative to Wei Dai China Wei Dai's profile →
Citations per field
00.5×3.3×
Wei Dai · 1×
Citations per year

Countries citing papers authored by Xiaofeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaofeng Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaofeng Li Line = papers co-authored together Xiaofeng Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201155
2 201045
3 202030
4 202027
5 201927
6 202224
7 202124
8 201223
9 202022
10 200722
11 201821
12
Model for attribute based access control
200819
13 201518
14 202218
15 202315
16 202215
17 201915
18 201914
19 201914
20 202113

About Xiaofeng Li

Xiaofeng Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Media Technology and Computer Networks and Communications, having authored 116 papers that have together received 792 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (16 papers), Video Surveillance and Tracking Methods (12 papers), Advanced Image Processing Techniques (11 papers), Image Processing Techniques and Applications (8 papers), Image Enhancement Techniques (8 papers), Advanced Image Fusion Techniques (8 papers), Advanced Technologies in Various Fields (7 papers) and AI and Big Data Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (257 citations), Media Technology (81 citations), Neurology (48 citations), Artificial Intelligence (162 citations) and Developmental Neuroscience (20 citations). Xiaofeng Li has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Yanwei Wang, Weimin Li, Zhizhong Fu, Changyin Sun, Tao He, Bin Li, Jing Jin, Ming Wu, Yu Zhao and Yingjie Cai. Their work appears in journals such as IEEE Access, Neural Computing and Applications, Pattern Recognition Letters, IEEE Transactions on Intelligent Transportation Systems and Computational Intelligence and Neuroscience.

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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