G.Y. Chen

11 total papers · 530 total citations
11 papers, 388 citations indexed

About

G.Y. Chen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Control and Systems Engineering. According to data from OpenAlex, G.Y. Chen has authored 11 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 1 paper in Control and Systems Engineering. Recurrent topics in G.Y. Chen's work include Image Retrieval and Classification Techniques (6 papers), Advanced Image Fusion Techniques (5 papers) and Image and Signal Denoising Methods (4 papers). G.Y. Chen is often cited by papers focused on Image Retrieval and Classification Techniques (6 papers), Advanced Image Fusion Techniques (5 papers) and Image and Signal Denoising Methods (4 papers). G.Y. Chen collaborates with scholars based in Canada, France and China. G.Y. Chen's co-authors include Adam Krzyżak, Tien D. Bui, Wenfang Xie, Tu Bui, Balázs Kégl, Wei‐Ping Zhu and Weidong Xie and has published in prestigious journals such as Pattern Recognition, Image and Vision Computing and Journal of Intelligent & Fuzzy Systems.

In The Last Decade

G.Y. Chen

11 papers receiving 353 citations

Author Peers

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

Author						Papers	Cites
G.Y. Chen	318	189	83	26	23	11	388
Rajkiran Gottumukkal	354 1.1×	59 0.3×	124 1.5×	37 1.4×	22 1.0×	11	401
Longbin Yan	168 0.5×	128 0.7×	84 1.0×	32 1.2×	40 1.7×	19	342
V. De Witte	358 1.1×	239 1.3×	63 0.8×	52 2.0×	8 0.3×	12	400
Anna Linderhed	156 0.5×	68 0.4×	47 0.6×	27 1.0×	16 0.7×	17	342
Zhen Lou	306 1.0×	82 0.4×	75 0.9×	70 2.7×	30 1.3×	21	408
A. Teuner	267 0.8×	137 0.7×	26 0.3×	49 1.9×	14 0.6×	20	428
Li Wang	260 0.8×	73 0.4×	20 0.2×	50 1.9×	30 1.3×	9	419
Meng Ding	264 0.8×	126 0.7×	24 0.3×	59 2.3×	36 1.6×	19	436
Marguerite Moore	297 0.9×	85 0.4×	27 0.3×	19 0.7×	19 0.8×	7	364
Dan Yao	150 0.5×	97 0.5×	50 0.6×	55 2.1×	63 2.7×	23	364

Countries citing papers authored by G.Y. Chen

Since Specialization

Citations

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

Fields of papers citing papers by G.Y. Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.Y. Chen. 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 G.Y. Chen. The network helps show where G.Y. Chen may publish in the future.

Co-authorship network of co-authors of G.Y. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of G.Y. Chen. A scholar is included among the top collaborators of G.Y. Chen 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 G.Y. Chen. G.Y. Chen 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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