Yui Man Lui

50 total papers · 5.3k total citations
38 papers, 3.3k citations indexed

About

Yui Man Lui is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Yui Man Lui has authored 38 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Yui Man Lui's work include Face recognition and analysis (18 papers), Face and Expression Recognition (16 papers) and Biometric Identification and Security (10 papers). Yui Man Lui is often cited by papers focused on Face recognition and analysis (18 papers), Face and Expression Recognition (16 papers) and Biometric Identification and Security (10 papers). Yui Man Lui collaborates with scholars based in United States, Canada and Norway. Yui Man Lui's co-authors include J. Ross Beveridge, Bruce A. Draper, P. Jonathon Phillips, Rita I. Freimanis, Geof H. Givens, David S. Bolme, Michael Kirby, David Bolme, Joseph Dunlop and Samuel Weimer and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Information Sciences and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Yui Man Lui

38 papers receiving 3.2k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Yui Man Lui	2.9k	752	479	397	335	38	3.3k
Zheng Zhu	3.1k 1.1×	756 1.0×	484 1.0×	518 1.3×	119 0.4×	80	3.6k
Omar Javed	4.6k 1.6×	784 1.0×	293 0.6×	869 2.2×	224 0.7×	44	5.1k
Zoran Živković	2.9k 1.0×	736 1.0×	240 0.5×	623 1.6×	132 0.4×	51	3.6k
Helmut Gräbner	3.1k 1.0×	546 0.7×	173 0.4×	597 1.5×	245 0.7×	79	3.6k
João F. Henriques	4.1k 1.4×	1.4k 1.8×	763 1.6×	519 1.3×	102 0.3×	30	4.6k
J. Ross Beveridge	4.2k 1.4×	1.0k 1.4×	490 1.0×	519 1.3×	814 2.4×	114	5.0k
Matej Kristan	2.5k 0.9×	735 1.0×	354 0.7×	1.1k 2.8×	139 0.4×	88	4.0k
Zhenyu He	2.4k 0.8×	709 0.9×	420 0.9×	579 1.5×	80 0.2×	99	3.2k
Qiang Wang	2.5k 0.9×	729 1.0×	552 1.2×	445 1.1×	75 0.2×	79	3.0k
Bruce A. Draper	4.3k 1.5×	920 1.2×	493 1.0×	672 1.7×	835 2.5×	123	5.4k

Countries citing papers authored by Yui Man Lui

Since Specialization

Citations

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

Fields of papers citing papers by Yui Man Lui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yui Man Lui. 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 Yui Man Lui. The network helps show where Yui Man Lui may publish in the future.

Co-authorship network of co-authors of Yui Man Lui

This figure shows the co-authorship network connecting the top 25 collaborators of Yui Man Lui. A scholar is included among the top collaborators of Yui Man Lui 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 Yui Man Lui. Yui Man Lui 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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