Yuelong Li

724 citations
34 papers · 388 indexed · h-index 8
Topics
Face and Expression Recognition (11 papers)Face recognition and analysis (8 papers)Advanced Image Processing Techniques (7 papers)
Journals
SHILAP Revista de lepidopterologíaCarbohydrate PolymersNeurocomputing
Partner nations
ChinaUnited StatesIsrael

In The Last Decade

Yuelong Li

31 papers receiving 376 citations

Peers

Yuelong Li
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 266
  • Media Technology 106
  • Computational Mechanics 47
  • Biomedical Engineering 42
  • Artificial Intelligence 35
Replace Mohammad Tofighi with:
Mohammad Tofighi Türkiye
Artur Łoza United Kingdom
Xuande Zhang China
Jürgen Seiler Germany
Daniel E. Worrall Netherlands
Bhupendra Gupta India
L. K. Balyan India
A. Amer Canada
Chee Kit Wong New Zealand
Shoulie Xie Singapore
Yuelong Li relative to Mohammad Tofighi Türkiye Mohammad Tofighi's profile →
Citations per field
00.5×1.5×2.3×
Mohammad Tofighi · 1×
Citations per year

Countries citing papers authored by Yuelong Li

Since Specialization
Citations

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

Fields of papers citing papers by Yuelong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuelong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yuelong Li. A scholar is included among the top collaborators of Yuelong 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 Yuelong Li. Yuelong 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
#WorkIndexed citations
1 5
2 1
3 1
4 0
5 2
6 6
7 4
8 3
9 1
10 5
11 1
12 1
13 130
14 25
15 4
16 4
17 9
18 6
19 1
20 9

About Yuelong Li

Yuelong Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 34 papers that have together received 388 indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Face recognition and analysis (8 papers) and Advanced Image Processing Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (266 citations), Media Technology (106 citations) and Computational Mathematics (2 citations). Yuelong Li has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Vishal Monga, Yonina C. Eldar, Mohammad Tofighi, Chul Lee, Junyi Geng, Jufu Feng, Zhitao Xiao, Lei Geng, Jiangtao Xi and Jianqin Yin. Their work appears in journals such as SHILAP Revista de lepidopterología, Carbohydrate Polymers and Neurocomputing.

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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