Yuecheng Yu

29 total papers · 414 total citations
10 papers, 300 citations indexed

About

Yuecheng Yu is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuecheng Yu has authored 10 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuecheng Yu's work include Hydraulic and Pneumatic Systems (2 papers), Face and Expression Recognition (2 papers) and Online and Blended Learning (1 paper). Yuecheng Yu is often cited by papers focused on Hydraulic and Pneumatic Systems (2 papers), Face and Expression Recognition (2 papers) and Online and Blended Learning (1 paper). Yuecheng Yu collaborates with scholars based in China and United States. Yuecheng Yu's co-authors include Min Gong, Xu Yan, Xibei Yang, Bin Gu, Di Li, Jiandong Wang, Jiandong Wang, Tao Xu, Yufan Huang and Bin Gu and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Journal of the Association for Information Systems.

In The Last Decade

Yuecheng Yu

10 papers receiving 254 citations

Author Peers

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

Author Last Decade Papers Cites
Yuecheng Yu 152 81 76 69 52 10 300
Xinxin Huang 63 0.4× 69 0.9× 78 1.0× 59 0.9× 36 0.7× 13 314
Nur Siyam 40 0.3× 77 1.0× 84 1.1× 105 1.5× 86 1.7× 15 342
Yunfei Du 44 0.3× 26 0.3× 83 1.1× 41 0.6× 66 1.3× 25 302
Mattia Zeni 42 0.3× 143 1.8× 59 0.8× 37 0.5× 32 0.6× 19 297
Duke Hyun Choi 151 1.0× 105 1.3× 44 0.6× 38 0.6× 51 1.0× 7 350
Shuang Hao 81 0.5× 73 0.9× 63 0.8× 78 1.1× 121 2.3× 15 335
Meng-Chew Leow 93 0.6× 47 0.6× 55 0.7× 56 0.8× 56 1.1× 26 301
Felix Nti Koranteng 95 0.6× 129 1.6× 38 0.5× 51 0.7× 105 2.0× 17 350
Nancy C. Goodwin 88 0.6× 66 0.8× 14 0.2× 50 0.7× 64 1.2× 13 346
James MacGregor 54 0.4× 52 0.6× 28 0.4× 30 0.4× 36 0.7× 15 350

Countries citing papers authored by Yuecheng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yuecheng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuecheng Yu

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