Chenyang Wang

49 total papers · 1.7k total citations
30 papers, 1.3k citations indexed

About

Chenyang Wang is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Control and Systems Engineering. According to data from OpenAlex, Chenyang Wang has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Statistical and Nonlinear Physics and 7 papers in Control and Systems Engineering. Recurrent topics in Chenyang Wang's work include Advanced Image Processing Techniques (9 papers), Image and Signal Denoising Methods (8 papers) and Chaos control and synchronization (7 papers). Chenyang Wang is often cited by papers focused on Advanced Image Processing Techniques (9 papers), Image and Signal Denoising Methods (8 papers) and Chaos control and synchronization (7 papers). Chenyang Wang collaborates with scholars based in Singapore, China and United States. Chenyang Wang's co-authors include Shuzhi Sam Ge, Junjun Jiang, Xianming Liu, Tong Heng Lee, Zhiwei Zhong, Rajagopalan Srinivasan, K.W. Lim, Weng Khuen Ho, Jiayi Ma and C.C. Hang and has published in prestigious journals such as Physical Review Letters, Automatica and Industrial & Engineering Chemistry Research.

In The Last Decade

Chenyang Wang

28 papers receiving 1.2k citations

Hit Papers

Adaptive NN control of un... 2002 2026 2010 2018 2002 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Chenyang Wang 560 456 435 300 181 30 1.3k
Shyam Krishna Nagar 798 1.4× 243 0.5× 142 0.3× 192 0.6× 114 0.6× 81 1.3k
Sara Dadras 922 1.6× 717 1.6× 432 1.0× 182 0.6× 41 0.2× 68 1.8k
W.H. Kwon 1.1k 2.0× 83 0.2× 308 0.7× 277 0.9× 184 1.0× 31 1.6k
A. Chandrasekar 373 0.7× 561 1.2× 1.1k 2.6× 154 0.5× 101 0.6× 37 1.7k
Lin Shi 663 1.2× 246 0.5× 612 1.4× 211 0.7× 208 1.1× 72 1.5k
Qingshuang Zeng 549 1.0× 399 0.9× 642 1.5× 106 0.4× 82 0.5× 63 1.1k
Hangli Ren 1.3k 2.3× 80 0.2× 718 1.7× 95 0.3× 167 0.9× 26 1.5k
Wei Kang 782 1.4× 182 0.4× 315 0.7× 115 0.4× 85 0.5× 51 1.4k
Yong‐Yan Cao 1.4k 2.4× 156 0.3× 531 1.2× 52 0.2× 222 1.2× 55 1.7k
David Gómez‐Gutiérrez 773 1.4× 89 0.2× 432 1.0× 87 0.3× 134 0.7× 50 1.1k

Countries citing papers authored by Chenyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chenyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenyang Wang

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