Kefei Song

53 total papers · 497 total citations
21 papers, 102 citations indexed

About

Kefei Song is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Astronomy and Astrophysics. According to data from OpenAlex, Kefei Song has authored 21 papers receiving a total of 102 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Aerospace Engineering, 5 papers in Electrical and Electronic Engineering and 4 papers in Astronomy and Astrophysics. Recurrent topics in Kefei Song's work include Infrared Target Detection Methodologies (4 papers), Adaptive optics and wavefront sensing (3 papers) and Software Reliability and Analysis Research (3 papers). Kefei Song is often cited by papers focused on Infrared Target Detection Methodologies (4 papers), Adaptive optics and wavefront sensing (3 papers) and Software Reliability and Analysis Research (3 papers). Kefei Song collaborates with scholars based in China and Australia. Kefei Song's co-authors include Yongcheng Wang, Bo Chen, Peng Zhang, Xiaoxin Zhang, Yajie Chen, Zhenyong Hou, Jinling Wang, Xianyong Bai, Hui Tian and Lingping He and has published in prestigious journals such as The Astrophysical Journal, Optics Express and Sensors.

In The Last Decade

Kefei Song

14 papers receiving 85 citations

Author Peers

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

Author Last Decade Papers Cites
Kefei Song 45 29 23 17 13 21 102
Fabio Rossi 141 3.1× 18 0.6× 26 1.1× 49 2.9× 5 0.4× 25 215
Kong Q. Ha 32 0.7× 22 0.8× 40 1.7× 63 3.7× 4 0.3× 16 151
P. Bauleo 86 1.9× 40 1.4× 30 1.3× 5 0.3× 2 0.2× 15 232
F. Herrmann 48 1.1× 19 0.7× 22 1.0× 16 0.9× 1 0.1× 23 115
Lingzhe Xu 23 0.5× 33 1.1× 4 0.2× 13 0.8× 5 0.4× 17 81
Yu. V. Parfenov 31 0.7× 18 0.6× 25 1.1× 15 0.9× 27 118
Yongjun Qi 28 0.6× 5 0.2× 4 0.2× 6 0.4× 5 0.4× 22 81
Simon Blake 73 1.6× 20 0.7× 35 1.5× 6 0.4× 2 0.2× 31 121
Mark Bowen 104 2.3× 61 2.1× 6 0.3× 40 2.4× 2 0.2× 25 182
Lizhi Sheng 26 0.6× 15 0.5× 4 0.2× 11 0.6× 25 76

Countries citing papers authored by Kefei Song

Since Specialization
Citations

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

Fields of papers citing papers by Kefei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kefei Song

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