Yan Song

62 papers and 1.1k indexed citations i.

About

Yan Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Yan Song has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Control and Systems Engineering. Recurrent topics in Yan Song’s work include Machine Fault Diagnosis Techniques (12 papers), Machine Learning and ELM (10 papers) and Underwater Vehicles and Communication Systems (7 papers). Yan Song is often cited by papers focused on Machine Fault Diagnosis Techniques (12 papers), Machine Learning and ELM (10 papers) and Underwater Vehicles and Communication Systems (7 papers). Yan Song collaborates with scholars based in China, United States and Hong Kong. Yan Song's co-authors include Yibin Li, Lei Jia, Shengyao Gao, Qiqiang Li, Meikang Qiu, Bo He, Daichao Wang, Tianhong Yan, Yibin Li and Qin Han and has published in prestigious journals such as Analytical Chemistry, The Science of The Total Environment and Chemical Communications.

In The Last Decade

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

Fields of papers citing papers by Yan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yan Song

Since Specialization
Citations

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