Yeqing Li

3.3k total citations · 1 hit paper
32 papers, 936 citations indexed

About

Yeqing Li is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Yeqing Li has authored 32 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 7 papers in Artificial Intelligence. Recurrent topics in Yeqing Li's work include Sparse and Compressive Sensing Techniques (9 papers), Photoacoustic and Ultrasonic Imaging (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Yeqing Li is often cited by papers focused on Sparse and Compressive Sensing Techniques (9 papers), Photoacoustic and Ultrasonic Imaging (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Yeqing Li collaborates with scholars based in United States, China and Sweden. Yeqing Li's co-authors include Junzhou Huang, Heng Huang, Feiping Nie, Chen Chen, Wei Liu, Shuai Ding, Youtao Zhang, Shanlin Yang, Desheng Wu and Leon Axel and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Child Development and IEEE Transactions on Signal Processing.

In The Last Decade

Yeqing Li

29 papers receiving 929 citations

Hit Papers

Large-Scale Multi-View Spectral Clustering via Bipartite ... 2015 2026 2018 2022 2015 100 200 300 400

Peers

Yeqing Li
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 601
  • Artificial Intelligence 343
  • Media Technology 240
  • Computational Mechanics 103
  • Urban Studies 85
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Citations per field, relative to Yeqing Li
Yeqing Li · 1×
Citations per year, relative to Yeqing Li
Yeqing Li · 1×

Countries citing papers authored by Yeqing Li

Since Specialization
Citations

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

Fields of papers citing papers by Yeqing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeqing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yeqing Li. A scholar is included among the top collaborators of Yeqing 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 Yeqing Li. Yeqing 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 3
3 2
4 5
5 2
6 5
7 5
8 6
9 1
10 18
11 22
12
Large-Scale Multi-View Spectral Clustering via Bipartite Graph breakdown →
461
13 16
14 114
15 18
16 11
17 8
18 33
19 0
20 1

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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