Qing Song

17 papers and 349 indexed citations i.

About

Qing Song is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Qing Song has authored 17 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Electrical and Electronic Engineering and 4 papers in Aerospace Engineering. Recurrent topics in Qing Song’s work include Image Enhancement Techniques (5 papers), Video Coding and Compression Technologies (4 papers) and Advanced Data Compression Techniques (3 papers). Qing Song is often cited by papers focused on Image Enhancement Techniques (5 papers), Video Coding and Compression Technologies (4 papers) and Advanced Data Compression Techniques (3 papers). Qing Song collaborates with scholars based in United States, China and Japan. Qing Song's co-authors include Kai Jin, Ying Chen, Hua Li, Pamela C. Cosman, Xixiang Liu, Yan Yang, Zhiping Guo, Qing’an Li, Yanfeng Zhang and Lihui Wang and has published in prestigious journals such as IEEE Transactions on Image Processing, Energy Conversion and Management and Review of Scientific Instruments.

In The Last Decade

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

Fields of papers citing papers by Qing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qing Song

Since Specialization
Citations

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