Qiankun Song

153 papers and 6.5k indexed citations i.

About

Qiankun Song is a scholar working on Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Qiankun Song has authored 153 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Computer Networks and Communications, 67 papers in Artificial Intelligence and 41 papers in Statistical and Nonlinear Physics. Recurrent topics in Qiankun Song’s work include Neural Networks Stability and Synchronization (122 papers), Neural Networks and Applications (65 papers) and Advanced Memory and Neural Computing (36 papers). Qiankun Song is often cited by papers focused on Neural Networks Stability and Synchronization (122 papers), Neural Networks and Applications (65 papers) and Advanced Memory and Neural Computing (36 papers). Qiankun Song collaborates with scholars based in China, Saudi Arabia and Qatar. Qiankun Song's co-authors include Zhenjiang Zhao, Jinde Cao, Yurong Liu, Xiaofeng Chen, Zidong Wang, Fuad E. Alsaadi, Xujun Yang, Chuandong Li, Tingwen Huang and Zhongshan Li and has published in prestigious journals such as Applied Energy, Energy and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Qiankun Song i

Fields of papers citing papers by Qiankun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qiankun Song

Since Specialization
Citations

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

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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2025