Yu Cheng

93 total papers · 1.3k total citations
61 papers, 762 citations indexed

About

Yu Cheng is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yu Cheng has authored 61 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 17 papers in Computer Vision and Pattern Recognition and 17 papers in Artificial Intelligence. Recurrent topics in Yu Cheng's work include Advanced Neural Network Applications (7 papers), Radiation Effects in Electronics (6 papers) and Electric Vehicles and Infrastructure (5 papers). Yu Cheng is often cited by papers focused on Advanced Neural Network Applications (7 papers), Radiation Effects in Electronics (6 papers) and Electric Vehicles and Infrastructure (5 papers). Yu Cheng collaborates with scholars based in China, Hong Kong and United States. Yu Cheng's co-authors include Chengwei Zhang, Yi Fang, Dehan Luo, Jiansheng Chen, Weitao Wan, Youze Xue, Kevin Hung, Tianpeng Li, Guang Wang and Yiqing Huang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Yu Cheng

55 papers receiving 736 citations

Author Peers

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

Author Last Decade Papers Cites
Yu Cheng 317 196 173 100 97 61 762
Xiangyuan Jiang 138 0.4× 196 1.0× 129 0.7× 41 0.4× 27 0.3× 38 668
Lefteris Doitsidis 323 1.0× 210 1.1× 79 0.5× 52 0.5× 25 0.3× 49 901
Jun Wu 330 1.0× 168 0.9× 50 0.3× 43 0.4× 143 1.5× 49 728
Zhikai Xing 283 0.9× 324 1.7× 230 1.3× 37 0.4× 103 1.1× 42 869
Stephan Hußmann 271 0.9× 34 0.2× 169 1.0× 91 0.9× 102 1.1× 70 725
Xinshan Zhu 437 1.4× 85 0.4× 228 1.3× 67 0.7× 114 1.2× 74 873
Fathinul Syahir Ahmad Saad 125 0.4× 47 0.2× 71 0.4× 160 1.6× 43 0.4× 64 710
Jiahui Chen 298 0.9× 163 0.8× 68 0.4× 67 0.7× 16 0.2× 57 904
Liefa Liao 221 0.7× 168 0.9× 90 0.5× 79 0.8× 17 0.2× 42 795
Yong Fang 438 1.4× 69 0.4× 151 0.9× 44 0.4× 97 1.0× 90 799

Countries citing papers authored by Yu Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yu Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Cheng

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