Yue Yang

77 total papers · 930 total citations
50 papers, 523 citations indexed

About

Yue Yang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yue Yang has authored 50 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yue Yang's work include Computability, Logic, AI Algorithms (18 papers), Advanced Topology and Set Theory (9 papers) and Advanced Image Processing Techniques (7 papers). Yue Yang is often cited by papers focused on Computability, Logic, AI Algorithms (18 papers), Advanced Topology and Set Theory (9 papers) and Advanced Image Processing Techniques (7 papers). Yue Yang collaborates with scholars based in China, Singapore and United States. Yue Yang's co-authors include Yong Qi, C. T. Chong, Xiangyan Tang, Jieren Cheng, Naixue Xiong, Qingyuan Hu, Qian Li, Youshui Lu, Liang Yu and Theodore A. Slaman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Physics Letters and IEEE Access.

In The Last Decade

Yue Yang

41 papers receiving 504 citations

Author Peers

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

Author Last Decade Papers Cites
Yue Yang 201 115 92 54 47 50 523
Marco Bressan 157 0.8× 262 2.3× 50 0.5× 66 1.2× 34 0.7× 46 535
Nebojša Ralević 69 0.3× 83 0.7× 38 0.4× 23 0.4× 13 0.3× 72 495
Xiaofeng Wang 143 0.7× 326 2.8× 37 0.4× 77 1.4× 36 0.8× 66 597
Souham Meshoul 287 1.4× 165 1.4× 65 0.7× 26 0.5× 61 1.3× 75 604
Nian Li 309 1.5× 90 0.8× 56 0.6× 6 0.1× 258 5.5× 27 601
Feng Tian 227 1.1× 260 2.3× 113 1.2× 51 0.9× 196 4.2× 36 618
Bazil Pârv 253 1.3× 63 0.5× 83 0.9× 12 0.2× 73 1.6× 34 460
Qi Cao 353 1.8× 110 1.0× 25 0.3× 15 0.3× 114 2.4× 46 566
Eslam Al Maghayreh 207 1.0× 79 0.7× 31 0.3× 18 0.3× 55 1.2× 36 464
Negin Samadi 220 1.1× 44 0.4× 12 0.1× 13 0.2× 57 1.2× 20 544

Countries citing papers authored by Yue Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yue Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Yang

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