Kechen Song

125 papers and 3.7k indexed citations i.

About

Kechen Song is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Kechen Song has authored 125 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Vision and Pattern Recognition, 43 papers in Industrial and Manufacturing Engineering and 27 papers in Mechanical Engineering. Recurrent topics in Kechen Song’s work include Industrial Vision Systems and Defect Detection (43 papers), Advanced Neural Network Applications (29 papers) and Infrastructure Maintenance and Monitoring (25 papers). Kechen Song is often cited by papers focused on Industrial Vision Systems and Defect Detection (43 papers), Advanced Neural Network Applications (29 papers) and Infrastructure Maintenance and Monitoring (25 papers). Kechen Song collaborates with scholars based in China, United Kingdom and Mexico. Kechen Song's co-authors include Yunhui Yan, Yu He, Qinggang Meng, Hongwen Dong, Liming Huang, Jing Xu, Menghui Niu, Yanyan Wang, Yanqi Bao and Xin Wen and has published in prestigious journals such as Scientific Reports, Applied Energy and IEEE Transactions on Industrial Electronics.

In The Last Decade

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

Fields of papers citing papers by Kechen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kechen Song

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025