Guangwen Yang

163 total papers · 2.0k total citations
97 papers, 1.3k citations indexed

About

Guangwen Yang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Guangwen Yang has authored 97 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Networks and Communications, 32 papers in Hardware and Architecture and 17 papers in Artificial Intelligence. Recurrent topics in Guangwen Yang's work include Advanced Data Storage Technologies (34 papers), Parallel Computing and Optimization Techniques (32 papers) and Distributed and Parallel Computing Systems (31 papers). Guangwen Yang is often cited by papers focused on Advanced Data Storage Technologies (34 papers), Parallel Computing and Optimization Techniques (32 papers) and Distributed and Parallel Computing Systems (31 papers). Guangwen Yang collaborates with scholars based in China, United States and United Kingdom. Guangwen Yang's co-authors include Haohuan Fu, Wei Xue, Xiaomeng Huang, Chao Yang, Lin Gan, Yongwei Wu, Weimin Zheng, Lanning Wang, Jiarui Fang and Fangfang Liu and has published in prestigious journals such as Physical Review Letters, Geophysics and Information Sciences.

In The Last Decade

Guangwen Yang

88 papers receiving 1.2k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Guangwen Yang 620 437 286 262 183 97 1.3k
Toshio Endo 849 1.4× 592 1.4× 177 0.6× 184 0.7× 120 0.7× 105 1.8k
Lin Gan 308 0.5× 299 0.7× 263 0.9× 128 0.5× 260 1.4× 101 1.4k
Naoya Maruyama 1.0k 1.6× 857 2.0× 200 0.7× 312 1.2× 160 0.9× 58 1.6k
Prasanna Balaprakash 340 0.5× 256 0.6× 483 1.7× 147 0.6× 125 0.7× 115 1.6k
Volodymyr Kindratenko 390 0.6× 430 1.0× 179 0.6× 112 0.4× 254 1.4× 80 1.2k
Manuel Prieto 678 1.1× 728 1.7× 191 0.7× 303 1.2× 373 2.0× 146 1.6k
Thomas Sterling 1.0k 1.6× 752 1.7× 175 0.6× 336 1.3× 87 0.5× 107 1.6k
Venkatram Vishwanath 923 1.5× 534 1.2× 254 0.9× 312 1.2× 237 1.3× 123 1.8k
Manish Vachharajani 706 1.1× 727 1.7× 387 1.4× 206 0.8× 49 0.3× 44 1.4k
Galen Shipman 897 1.4× 479 1.1× 145 0.5× 293 1.1× 124 0.7× 64 1.4k

Countries citing papers authored by Guangwen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guangwen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangwen Yang

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