Yante Li

41 total papers · 836 total citations
20 papers, 456 citations indexed

About

Yante Li is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Yante Li has authored 20 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Experimental and Cognitive Psychology and 4 papers in Social Psychology. Recurrent topics in Yante Li's work include Emotion and Mood Recognition (12 papers), Face and Expression Recognition (7 papers) and Face recognition and analysis (5 papers). Yante Li is often cited by papers focused on Emotion and Mood Recognition (12 papers), Face and Expression Recognition (7 papers) and Face recognition and analysis (5 papers). Yante Li collaborates with scholars based in Finland, China and United States. Yante Li's co-authors include Guoying Zhao, Xiaohua Huang, Yang Liu, Qianru Xu, Janne Kauttonen, Xiaobai Li, Wei Peng, Xin Li, Xingming Zhang and Stefanos Zafeiriou and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Image Processing and Neurocomputing.

In The Last Decade

Yante Li

18 papers receiving 445 citations

Author Peers

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

Author						Papers	Cites
Yante Li	253	245	123	70	65	20	456
Jingting Li	208 0.8×	300 1.2×	131 1.1×	42 0.6×	56 0.9×	33	444
Anh Cat Le Ngo	291 1.2×	298 1.2×	89 0.7×	92 1.3×	72 1.1×	15	464
Zenghai Chen	191 0.8×	244 1.0×	102 0.8×	48 0.7×	42 0.6×	20	469
Wissam J. Baddar	312 1.2×	329 1.3×	68 0.6×	99 1.4×	45 0.7×	14	448
Dae Hoe Kim	255 1.0×	319 1.3×	219 1.8×	60 0.9×	45 0.7×	31	549
Min Peng	152 0.6×	250 1.0×	118 1.0×	37 0.5×	60 0.9×	29	445
Cliff Lansley	344 1.4×	346 1.4×	104 0.8×	94 1.3×	60 0.9×	6	510
Haimin Zhang	128 0.5×	225 0.9×	145 1.2×	29 0.4×	44 0.7×	21	489
Mengtian Zhou	242 1.0×	217 0.9×	117 1.0×	56 0.8×	28 0.4×	9	475
Adrià Recasens	191 0.8×	327 1.3×	142 1.2×	104 1.5×	68 1.0×	12	524

Countries citing papers authored by Yante Li

Since Specialization

Citations

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

Fields of papers citing papers by Yante Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yante Li

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