Chengyun Yang

13 total papers · 726 total citations
6 papers, 248 citations indexed

About

Chengyun Yang is a scholar working on Computer Vision and Pattern Recognition, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Chengyun Yang has authored 6 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 1 paper in Social Psychology and 1 paper in Cognitive Neuroscience. Recurrent topics in Chengyun Yang's work include Advanced Steganography and Watermarking Techniques (5 papers), Digital Media Forensic Detection (4 papers) and Chaos-based Image/Signal Encryption (4 papers). Chengyun Yang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (5 papers), Digital Media Forensic Detection (4 papers) and Chaos-based Image/Signal Encryption (4 papers). Chengyun Yang collaborates with scholars based in China and United States. Chengyun Yang's co-authors include Guorong Xuan, Dekun Zou, Peiqi Chai, Zhenping Zhang, Chunhua Chen, Jianjiong Gao, Y.Q. Shi, Yun Q. Shi, Wen Chen and Wen Chen and has published in prestigious journals such as International Journal of Industrial Ergonomics.

In The Last Decade

Chengyun Yang

5 papers receiving 208 citations

Author Peers

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

Author						Papers	Cites
Chengyun Yang	238	13	12	9	9	6	248
Min Jin Chong	150 0.6×	42 3.2×	20 1.7×	5 0.6×	10 1.1×	8	190
Ya-Liang Chang	200 0.8×	34 2.6×	9 0.8×	2 0.2×	27 3.0×	7	227
Christophe Rigaud	87 0.4×	42 3.2×	7 0.6×	4 0.4×	2 0.2×	10	135
Balázs Kovács	191 0.8×	33 2.5×	7 0.6×	8 0.9×	6 0.7×	3	231
Alberto Baldrati	218 0.9×	64 4.9×	3 0.3×	8 0.9×	5 0.6×	11	263
Wojciech Basalaj	221 0.9×	43 3.3×	6 0.5×	4 0.4×	31 3.4×	7	262
Kun Xu	160 0.7×	31 2.4×	18 1.5×	5 0.6×	5 0.6×	8	205
L. Pitas	289 1.2×	8 0.6×	25 2.1×		34 3.8×	8	312
Michel Collobert	226 0.9×	30 2.3×	35 2.9×	5 0.6×	28 3.1×	6	259
Shanmin Wang	189 0.8×	39 3.0×	25 2.1×	13 1.4×	15 1.7×	8	274

Countries citing papers authored by Chengyun Yang

Since Specialization

Citations

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

Fields of papers citing papers by Chengyun Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengyun Yang

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