Lin Song

18 papers and 359 indexed citations i.

About

Lin Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Accounting. According to data from OpenAlex, Lin Song has authored 18 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Accounting. Recurrent topics in Lin Song’s work include Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (5 papers) and Corporate Finance and Governance (3 papers). Lin Song is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (5 papers) and Corporate Finance and Governance (3 papers). Lin Song collaborates with scholars based in China, Mongolia and Hong Kong. Lin Song's co-authors include Hongbin Sun, Zeming Li, Nanning Zheng, Jianfeng Wang, Jian Sun, Jian Sun, Yanwei Li, Xiangyu Zhang, Yukang Chen and Xingang Wang and has published in prestigious journals such as Scientific Reports, International Journal of Environmental Research and Public Health and Frontiers in Oncology.

In The Last Decade

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

Fields of papers citing papers by Lin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lin Song

Since Specialization
Citations

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