Qun Song

85 total papers · 2.3k total citations
49 papers, 1.5k citations indexed

About

Qun Song is a scholar working on Artificial Intelligence, Signal Processing and Statistical and Nonlinear Physics. According to data from OpenAlex, Qun Song has authored 49 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 10 papers in Signal Processing and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Qun Song's work include Neural Networks and Applications (12 papers), Fuzzy Logic and Control Systems (10 papers) and Speech and Audio Processing (6 papers). Qun Song is often cited by papers focused on Neural Networks and Applications (12 papers), Fuzzy Logic and Control Systems (10 papers) and Speech and Audio Processing (6 papers). Qun Song collaborates with scholars based in China, Singapore and New Zealand. Qun Song's co-authors include Nikola Kasabov, Rui Tan, Zhenghong Deng, Liang Kee Goh, Zhenyu Yan, Li Gao, Chao Ren, Yan Xu, Chaojie Gu and Tao Wu and has published in prestigious journals such as IEEE Transactions on Smart Grid, IEEE Transactions on Fuzzy Systems and Neurocomputing.

In The Last Decade

Qun Song

47 papers receiving 1.4k citations

Hit Papers

DENFIS: dynamic evolving ... 2002 2026 2010 2018 2002 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Qun Song 982 283 153 150 140 49 1.5k
Dimitris K. Tasoulis 1.1k 1.1× 134 0.5× 171 1.1× 143 1.0× 109 0.8× 53 1.5k
Xiaowei Gu 916 0.9× 257 0.9× 117 0.8× 195 1.3× 112 0.8× 94 1.8k
Daniel Leite 722 0.7× 365 1.3× 102 0.7× 128 0.9× 220 1.6× 82 1.6k
Athanasios Kehagias 654 0.7× 130 0.5× 219 1.4× 192 1.3× 141 1.0× 72 1.3k
Hai-Jun Rong 1.3k 1.3× 328 1.2× 93 0.6× 70 0.5× 258 1.8× 49 1.6k
Junhai Zhai 937 1.0× 130 0.5× 83 0.5× 128 0.9× 202 1.4× 96 1.4k
Eiji Mizutani 727 0.7× 309 1.1× 84 0.5× 100 0.7× 279 2.0× 48 1.6k
Theodore B. Trafali̇s 552 0.6× 209 0.7× 88 0.6× 386 2.6× 198 1.4× 96 1.7k
Kenneth W. Bauer 553 0.6× 110 0.4× 174 1.1× 149 1.0× 94 0.7× 119 1.3k
C. S. George Lee 766 0.8× 513 1.8× 62 0.4× 102 0.7× 204 1.5× 41 1.7k

Countries citing papers authored by Qun Song

Since Specialization
Citations

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

Fields of papers citing papers by Qun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qun Song

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