Ke Song

38 total papers · 529 total citations
17 papers, 277 citations indexed

About

Ke Song is a scholar working on Computer Vision and Pattern Recognition, Infectious Diseases and Epidemiology. According to data from OpenAlex, Ke Song has authored 17 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Ke Song’s work include Video Surveillance and Tracking Methods (5 papers), Respiratory viral infections research (3 papers) and Advanced Vision and Imaging (3 papers). Ke Song is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Respiratory viral infections research (3 papers) and Advanced Vision and Imaging (3 papers). Ke Song collaborates with scholars based in China, Hong Kong and Belarus. Ke Song's co-authors include Wei Zhang, Yibin Li, Xuewen Rong, Chengbu Liu, Zhen Xu, Shiling Yuan, Yong Ma, Zhen Yang, Xianbao Cui and Tianyang Feng and has published in prestigious journals such as Langmuir, ACS Applied Materials & Interfaces and Industrial & Engineering Chemistry Research.

Co-authorship network of co-authors of Ke Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Song. A scholar is included among the top collaborators of Ke 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 Ke Song. Ke Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Ke Song

17 papers receiving 273 citations

Fields of papers citing papers by Ke Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ke Song

Since Specialization
Citations

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