Gang Quan

176 total papers · 3.5k total citations
136 papers, 2.5k citations indexed

About

Gang Quan is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Gang Quan has authored 136 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Hardware and Architecture, 61 papers in Computer Networks and Communications and 40 papers in Electrical and Electronic Engineering. Recurrent topics in Gang Quan's work include Parallel Computing and Optimization Techniques (74 papers), Real-Time Systems Scheduling (61 papers) and Embedded Systems Design Techniques (55 papers). Gang Quan is often cited by papers focused on Parallel Computing and Optimization Techniques (74 papers), Real-Time Systems Scheduling (61 papers) and Embedded Systems Design Techniques (55 papers). Gang Quan collaborates with scholars based in United States, China and Israel. Gang Quan's co-authors include Xiaobo Sharon Hu, Linwei Niu, Meikang Qiu, Zhong Ming, Jiayin Li, Vivek Chaturvedi, Shangping Ren, Bren Mochocki, Xiao Qin and Ming Fan and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Vehicular Technology and IEEE Transactions on Industrial Informatics.

In The Last Decade

Gang Quan

130 papers receiving 2.4k citations

Hit Papers

Online optimization for s... 2012 2026 2016 2021 2012 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Gang Quan 1.4k 1.1k 692 614 179 136 2.5k
Paolo Faraboschi 1.6k 1.1× 1.4k 1.2× 423 0.6× 643 1.0× 371 2.1× 107 2.5k
Behrooz Shirazi 608 0.4× 1.5k 1.3× 459 0.7× 427 0.7× 241 1.3× 126 2.0k
Jean‐Luc Gaudiot 838 0.6× 1.0k 0.9× 440 0.6× 404 0.7× 408 2.3× 183 2.0k
Devesh Tiwari 665 0.5× 1.3k 1.2× 752 1.1× 547 0.9× 432 2.4× 146 2.3k
F. Özgüner 617 0.4× 2.0k 1.7× 528 0.8× 1.1k 1.8× 117 0.7× 120 2.4k
Ishfaq Ahmad 1.4k 1.0× 2.4k 2.1× 1.2k 1.7× 320 0.5× 166 0.9× 124 3.0k
Gianluca Palermo 1.3k 0.9× 879 0.8× 244 0.4× 547 0.9× 361 2.0× 137 1.9k
Osman Ünsal 1.6k 1.2× 1.7k 1.4× 364 0.5× 777 1.3× 266 1.5× 191 2.3k
Cristina Silvano 1.8k 1.3× 1.2k 1.1× 238 0.3× 1.0k 1.7× 313 1.7× 148 2.3k
Thomas G. Robertazzi 1.0k 0.7× 2.5k 2.1× 617 0.9× 535 0.9× 221 1.2× 117 2.9k

Countries citing papers authored by Gang Quan

Since Specialization
Citations

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

Fields of papers citing papers by Gang Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Quan

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