Chi-Tat Leung

15 total papers · 646 total citations
15 papers, 469 citations indexed

About

Chi-Tat Leung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Chi-Tat Leung has authored 15 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Chi-Tat Leung's work include Neural Networks and Applications (8 papers), Spectroscopy and Chemometric Analyses (6 papers) and Blind Source Separation Techniques (6 papers). Chi-Tat Leung is often cited by papers focused on Neural Networks and Applications (8 papers), Spectroscopy and Chemometric Analyses (6 papers) and Blind Source Separation Techniques (6 papers). Chi-Tat Leung collaborates with scholars based in Hong Kong. Chi-Tat Leung's co-authors include Tommy W. S. Chow, Wan-Chi Siu and P.K.S. Tam and has published in prestigious journals such as IEEE Transactions on Power Systems, Artificial Intelligence and Neurocomputing.

In The Last Decade

Chi-Tat Leung

14 papers receiving 425 citations

Author Peers

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

Author						Papers	Cites
Chi-Tat Leung	224	206	175	98	41	15	469
Binsu C. Kovoor	174 0.8×	252 1.2×	129 0.7×	55 0.6×	53 1.3×	34	519
André Gensler	283 1.3×	346 1.7×	45 0.3×	63 0.6×	50 1.2×	14	515
A. Abaye	184 0.8×	397 1.9×	76 0.4×	196 2.0×	37 0.9×	10	511
Yunxuan Dong	154 0.7×	360 1.7×	46 0.3×	122 1.2×	41 1.0×	20	528
Xifeng Guo	151 0.7×	306 1.5×	72 0.4×	70 0.7×	74 1.8×	39	486
Zhewen Niu	167 0.7×	342 1.7×	49 0.3×	82 0.8×	45 1.1×	15	484
Seungwon Jung	164 0.7×	254 1.2×	48 0.3×	61 0.6×	36 0.9×	16	462
Paweł Różycki	198 0.9×	243 1.2×	83 0.5×	62 0.6×	122 3.0×	23	501
Deqiang Kong	104 0.5×	103 0.5×	72 0.4×	73 0.7×	38 0.9×	7	438
Miguel Delgado Calvo-Flores	164 0.7×	107 0.5×	137 0.8×	70 0.7×	44 1.1×	21	443

Countries citing papers authored by Chi-Tat Leung

Since Specialization

Citations

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

Fields of papers citing papers by Chi-Tat Leung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Tat Leung. 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 Chi-Tat Leung. The network helps show where Chi-Tat Leung may publish in the future.

Co-authorship network of co-authors of Chi-Tat Leung

This figure shows the co-authorship network connecting the top 25 collaborators of Chi-Tat Leung. A scholar is included among the top collaborators of Chi-Tat Leung 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 Chi-Tat Leung. Chi-Tat Leung 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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