Canqun Yang

122 total papers · 1.4k total citations
84 papers, 899 citations indexed

About

Canqun Yang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Canqun Yang has authored 84 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Hardware and Architecture, 30 papers in Computer Networks and Communications and 21 papers in Artificial Intelligence. Recurrent topics in Canqun Yang's work include Parallel Computing and Optimization Techniques (37 papers), Distributed and Parallel Computing Systems (15 papers) and Advanced Data Storage Technologies (13 papers). Canqun Yang is often cited by papers focused on Parallel Computing and Optimization Techniques (37 papers), Distributed and Parallel Computing Systems (15 papers) and Advanced Data Storage Technologies (13 papers). Canqun Yang collaborates with scholars based in China, United Kingdom and Australia. Canqun Yang's co-authors include Kenli Li, Keqin Li, Xiangke Liao, Liquan Xiao, Yutong Lu, Tao Tang, Jianbin Fang, Feng Wang, Chengkun Wu and Qiang Wu and has published in prestigious journals such as Genome biology, IEEE Access and Sensors.

In The Last Decade

Canqun Yang

79 papers receiving 879 citations

Author Peers

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

Author Last Decade Papers Cites
Canqun Yang 324 282 212 185 143 84 899
Kenichi Hagihara 475 1.5× 312 1.1× 230 1.1× 139 0.8× 199 1.4× 101 928
Mohammad Zubair 409 1.3× 270 1.0× 98 0.5× 215 1.2× 246 1.7× 120 922
Ali Pınar 454 1.4× 279 1.0× 161 0.8× 251 1.4× 99 0.7× 42 906
Mahantesh Halappanavar 437 1.3× 146 0.5× 257 1.2× 326 1.8× 165 1.2× 108 1.0k
Geppino Pucci 452 1.4× 329 1.2× 59 0.3× 209 1.1× 111 0.8× 65 848
Khaled Benkrid 298 0.9× 410 1.5× 192 0.9× 248 1.3× 43 0.3× 78 926
Francisco D. Igual 415 1.3× 515 1.8× 156 0.7× 122 0.7× 111 0.8× 81 854
Ariful Azad 285 0.9× 274 1.0× 304 1.4× 258 1.4× 51 0.4× 58 759
Ana Lucia Vărbănescu 477 1.5× 452 1.6× 226 1.1× 144 0.8× 207 1.4× 67 835
Fredrik Manne 313 1.0× 126 0.4× 205 1.0× 206 1.1× 81 0.6× 51 875

Countries citing papers authored by Canqun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Canqun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Canqun Yang

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