Yuanqing Lin

74 total papers · 6.5k total citations
44 papers, 3.2k citations indexed

About

Yuanqing Lin is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Yuanqing Lin has authored 44 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 10 papers in Artificial Intelligence. Recurrent topics in Yuanqing Lin's work include Advanced Image and Video Retrieval Techniques (19 papers), Advanced Neural Network Applications (11 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Yuanqing Lin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (19 papers), Advanced Neural Network Applications (11 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Yuanqing Lin collaborates with scholars based in United States, China and Germany. Yuanqing Lin's co-authors include Wongun Choi, Shenghuo Zhu, Xiaoyu Wang, Fan Yang, Silvio Savarese, Xiang Yu, Kai Yu, Ming Yang, Ming Yang and Jiang Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Medicine & Science in Sports & Exercise.

In The Last Decade

Yuanqing Lin

44 papers receiving 3.0k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Yuanqing Lin 2.4k 750 459 263 238 44 3.2k
Samuel Rota Bulò 2.0k 0.8× 1.2k 1.5× 303 0.7× 224 0.9× 151 0.6× 79 3.1k
Tai‐Jiang Mu 1.6k 0.7× 555 0.7× 376 0.8× 315 1.2× 110 0.5× 56 2.7k
Philipp Krähenbühl 3.8k 1.6× 711 0.9× 708 1.5× 341 1.3× 281 1.2× 25 4.3k
Song–Hai Zhang 2.4k 1.0× 513 0.7× 236 0.5× 613 2.3× 138 0.6× 103 3.6k
Honggang Qi 3.4k 1.4× 1.0k 1.3× 599 1.3× 350 1.3× 243 1.0× 99 4.8k
Kai Han 3.1k 1.3× 1.1k 1.4× 464 1.0× 639 2.4× 111 0.5× 48 4.8k
Guodong Zhang 3.2k 1.4× 802 1.1× 539 1.2× 716 2.7× 87 0.4× 35 4.4k
Yinpeng Chen 2.6k 1.1× 1.4k 1.8× 394 0.9× 439 1.7× 60 0.3× 56 4.1k
Jianyuan Guo 2.9k 1.2× 916 1.2× 463 1.0× 634 2.4× 110 0.5× 22 4.5k
José M. Alvarez 2.8k 1.2× 1.1k 1.5× 385 0.8× 305 1.2× 680 2.9× 78 3.8k

Countries citing papers authored by Yuanqing Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yuanqing Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanqing Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanqing Lin. A scholar is included among the top collaborators of Yuanqing Lin 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 Yuanqing Lin. Yuanqing Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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