Fei Guan

63 total papers · 469 total citations
31 papers, 321 citations indexed

About

Fei Guan is a scholar working on Computer Networks and Communications, Hardware and Architecture and Control and Systems Engineering. According to data from OpenAlex, Fei Guan has authored 31 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 13 papers in Hardware and Architecture and 7 papers in Control and Systems Engineering. Recurrent topics in Fei Guan's work include Real-Time Systems Scheduling (11 papers), Parallel Computing and Optimization Techniques (7 papers) and Distributed and Parallel Computing Systems (7 papers). Fei Guan is often cited by papers focused on Real-Time Systems Scheduling (11 papers), Parallel Computing and Optimization Techniques (7 papers) and Distributed and Parallel Computing Systems (7 papers). Fei Guan collaborates with scholars based in China, Belgium and Singapore. Fei Guan's co-authors include Chen Lv, Yongzhang Huang, Long Peng, A.P. Loh, Shuzhi Sam Ge, Zhe Liu, Yu Han, Lanying Li, Zhiqiang Lv and Jen-Chih Yao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Computers and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Fei Guan

29 papers receiving 313 citations

Author Peers

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

Author Last Decade Papers Cites
Fei Guan 180 88 67 56 55 31 321
Gene A. Tagliarini 68 0.4× 158 1.8× 52 0.8× 36 0.6× 21 0.4× 34 292
Wei Liu 76 0.4× 62 0.7× 123 1.8× 77 1.4× 25 0.5× 55 279
Hassan Ghasemzadeh Mohammadi 136 0.8× 97 1.1× 39 0.6× 28 0.5× 37 0.7× 21 301
Hagbae Kim 99 0.6× 25 0.3× 75 1.1× 42 0.8× 72 1.3× 31 259
Thomas Chau 132 0.7× 82 0.9× 22 0.3× 37 0.7× 68 1.2× 29 293
Phaklen Ehkan 131 0.7× 58 0.7× 84 1.3× 14 0.3× 22 0.4× 58 296
J.F. Frenzel 137 0.8× 117 1.3× 16 0.2× 50 0.9× 32 0.6× 21 321
Rui Gao 75 0.4× 91 1.0× 54 0.8× 53 0.9× 12 0.2× 38 348
Semih Aslan 184 1.0× 41 0.5× 26 0.4× 81 1.4× 41 0.7× 35 343
Dan Pescaru 65 0.4× 60 0.7× 104 1.6× 26 0.5× 18 0.3× 44 255

Countries citing papers authored by Fei Guan

Since Specialization
Citations

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

Fields of papers citing papers by Fei Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Guan

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