An Song

22 total papers · 420 total citations
19 papers, 297 citations indexed

About

An Song is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, An Song has authored 19 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 6 papers in Electrical and Electronic Engineering. Recurrent topics in An Song's work include Metaheuristic Optimization Algorithms Research (6 papers), Advanced Optical Network Technologies (4 papers) and Advanced Chemical Sensor Technologies (4 papers). An Song is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Advanced Optical Network Technologies (4 papers) and Advanced Chemical Sensor Technologies (4 papers). An Song collaborates with scholars based in China, South Korea and Taiwan. An Song's co-authors include Wei–Neng Chen, Jun Zhang, Qiang Yang, Tianlong Gu, Xiaonan Luo, Sam Kwong, Huaqiang Yuan, Fengchun Tian, Yue‐Jiao Gong and Wenli Zhang and has published in prestigious journals such as Sensors, IEEE Transactions on Cybernetics and IEEE Transactions on Evolutionary Computation.

In The Last Decade

An Song

18 papers receiving 295 citations

Author Peers

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

Author Last Decade Papers Cites
An Song 141 99 92 72 46 19 297
Fang Wei 108 0.8× 135 1.4× 75 0.8× 34 0.5× 29 0.6× 25 331
Wang Min 147 1.0× 143 1.4× 23 0.3× 45 0.6× 42 0.9× 17 345
Raffaele Mascella 206 1.5× 32 0.3× 100 1.1× 42 0.6× 14 0.3× 16 302
Fun Ye 217 1.5× 54 0.5× 18 0.2× 38 0.5× 27 0.6× 15 366
Shengdong Xie 91 0.6× 173 1.7× 40 0.4× 114 1.6× 35 0.8× 16 338
Lu Chen 74 0.5× 109 1.1× 33 0.4× 42 0.6× 87 1.9× 18 348
Zheng Li 210 1.5× 81 0.8× 23 0.3× 24 0.3× 56 1.2× 23 305
Prabhat Ranjan Singh 90 0.6× 137 1.4× 42 0.5× 64 0.9× 116 2.5× 12 303
Yu Chen 208 1.5× 72 0.7× 22 0.2× 27 0.4× 104 2.3× 14 353
A. Emre Harmancı 100 0.7× 53 0.5× 38 0.4× 37 0.5× 33 0.7× 16 276

Countries citing papers authored by An Song

Since Specialization
Citations

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

Fields of papers citing papers by An Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of An Song

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