Chengyang Zhang

98 total papers · 3.4k total citations
53 papers, 2.0k citations indexed

About

Chengyang Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Chengyang Zhang has authored 53 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Signal Processing. Recurrent topics in Chengyang Zhang's work include Data Management and Algorithms (10 papers), Advanced Database Systems and Queries (5 papers) and Additive Manufacturing and 3D Printing Technologies (4 papers). Chengyang Zhang is often cited by papers focused on Data Management and Algorithms (10 papers), Advanced Database Systems and Queries (5 papers) and Additive Manufacturing and 3D Printing Technologies (4 papers). Chengyang Zhang collaborates with scholars based in China, United States and Germany. Chengyang Zhang's co-authors include Xing Xie, Yu Zheng, Yan Huang, Guangzhong Sun, Jing Yuan, Wenlei Xie, Wei Wang, Yin Lou, Jing Yuan and Jingtao Han and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Chengyang Zhang

46 papers receiving 1.9k citations

Hit Papers

T-drive 2009 2026 2014 2020 2010 2009 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Chengyang Zhang 943 910 705 297 289 53 2.0k
Chenjuan Guo 1.2k 1.3× 681 0.7× 719 1.0× 110 0.4× 606 2.1× 66 2.0k
Mirco Nanni 1.4k 1.5× 1.4k 1.6× 368 0.5× 189 0.6× 709 2.5× 70 2.7k
Jianzhong Qi 773 0.8× 772 0.8× 947 1.3× 125 0.4× 1.0k 3.5× 123 2.7k
Kai Zheng 1.3k 1.4× 696 0.8× 277 0.4× 195 0.7× 426 1.5× 66 2.0k
Wen-Chih Peng 787 0.8× 632 0.7× 232 0.3× 126 0.4× 666 2.3× 92 2.1k
Jakob Eriksson 357 0.4× 812 0.9× 553 0.8× 582 2.0× 349 1.2× 35 3.2k
Vânia Bogorny 1.3k 1.4× 1.0k 1.1× 170 0.2× 256 0.9× 448 1.6× 62 2.0k
Renato F. Werneck 501 0.5× 316 0.3× 269 0.4× 73 0.2× 280 1.0× 44 1.8k
Gencai Chen 554 0.6× 575 0.6× 123 0.2× 129 0.4× 416 1.4× 106 1.9k
Wei Wang 386 0.4× 310 0.3× 310 0.4× 162 0.5× 907 3.1× 52 1.7k

Countries citing papers authored by Chengyang Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Chengyang Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengyang Zhang

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