Li Yao

148 total papers · 2.1k total citations
79 papers, 1.1k citations indexed

About

Li Yao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Li Yao has authored 79 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Li Yao's work include Advanced Vision and Imaging (12 papers), Human Pose and Action Recognition (9 papers) and Image Enhancement Techniques (8 papers). Li Yao is often cited by papers focused on Advanced Vision and Imaging (12 papers), Human Pose and Action Recognition (9 papers) and Image Enhancement Techniques (8 papers). Li Yao collaborates with scholars based in China, United States and Canada. Li Yao's co-authors include Kyunghyun Cho, Atousa Torabi, Aaron Courville, Christopher Pal, Nicolas Ballas, Hugo Larochelle, Huchuan Lu, Quanhong Ma, Maochang Liu and Chunhua Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Proceedings of the IEEE.

In The Last Decade

Li Yao

66 papers receiving 1.1k citations

Hit Papers

Describing Videos by Expl... 2015 2026 2018 2022 2015 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Li Yao 802 217 77 66 64 79 1.1k
Hui Xue 470 0.6× 457 2.1× 125 1.6× 50 0.8× 51 0.8× 77 1.1k
Shiguang Liu 717 0.9× 89 0.4× 49 0.6× 53 0.8× 51 0.8× 133 1.2k
Yichao Wu 717 0.9× 556 2.6× 130 1.7× 56 0.8× 50 0.8× 53 1.2k
Xiaofeng Zhang 677 0.8× 135 0.6× 40 0.5× 31 0.5× 35 0.5× 69 1.1k
Haotong Qin 524 0.7× 460 2.1× 44 0.6× 62 0.9× 75 1.2× 36 1.0k
Zhenzhen Hu 592 0.7× 323 1.5× 16 0.2× 84 1.3× 42 0.7× 53 950
Daming Shi 425 0.5× 241 1.1× 153 2.0× 48 0.7× 203 3.2× 76 1.2k
Yuewei Lin 650 0.8× 291 1.3× 209 2.7× 44 0.7× 98 1.5× 59 1.1k
Chin‐Hsing Chen 545 0.7× 92 0.4× 110 1.4× 114 1.7× 82 1.3× 111 1.4k
Yuhang Zhang 469 0.6× 214 1.0× 35 0.5× 14 0.2× 40 0.6× 88 975

Countries citing papers authored by Li Yao

Since Specialization
Citations

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

Fields of papers citing papers by Li Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Li Yao. A scholar is included among the top collaborators of Li Yao 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 Li Yao. Li Yao 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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