Chang Chen

92 total papers · 1.5k total citations
52 papers, 761 citations indexed

About

Chang Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Chang Chen has authored 52 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 10 papers in Media Technology. Recurrent topics in Chang Chen's work include Advanced Image Processing Techniques (8 papers), Image and Signal Denoising Methods (6 papers) and Advanced Vision and Imaging (5 papers). Chang Chen is often cited by papers focused on Advanced Image Processing Techniques (8 papers), Image and Signal Denoising Methods (6 papers) and Advanced Vision and Imaging (5 papers). Chang Chen collaborates with scholars based in China, United States and Sweden. Chang Chen's co-authors include Zhiwei Xiong, Dong Liu, Feng Wu, Zheng-Jun Zha, Zhan Shi, Xinmei Tian, Feng Wu, Zhen Cheng, Yueyi Zhang and Guohua Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Biochemistry and Journal of Materials Chemistry A.

In The Last Decade

Chang Chen

42 papers receiving 744 citations

Author Peers

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

Author						Papers	Cites
Chang Chen	428	317	82	81	47	52	761
Yuqi Li	273 0.6×	188 0.6×	82 1.0×	92 1.1×	31 0.7×	81	671
Nikolay Petkov	497 1.2×	176 0.6×	43 0.5×	126 1.6×	77 1.6×	55	892
Zhijie Wen	250 0.6×	150 0.5×	61 0.7×	86 1.1×	48 1.0×	43	621
K. S. Sim	651 1.5×	329 1.0×	62 0.8×	43 0.5×	48 1.0×	66	907
Hiêp Luong	513 1.2×	252 0.8×	76 0.9×	67 0.8×	85 1.8×	99	836
A. S. Krylov	474 1.1×	167 0.5×	63 0.8×	38 0.5×	38 0.8×	135	667
Keyan Ding	632 1.5×	253 0.8×	45 0.5×	76 0.9×	41 0.9×	22	871
Habibollah Danyali	404 0.9×	114 0.4×	43 0.5×	111 1.4×	77 1.6×	82	685
Caroline Fossati	335 0.8×	264 0.8×	60 0.7×	76 0.9×	33 0.7×	44	720
N. Kanopoulos	377 0.9×	140 0.4×	73 0.9×	97 1.2×	47 1.0×	36	864

Countries citing papers authored by Chang Chen

Since Specialization

Citations

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

Fields of papers citing papers by Chang Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Chen

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