Song Qing

22 papers and 364 indexed citations i.

About

Song Qing is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Song Qing has authored 22 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Control and Systems Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Song Qing’s work include Neural Networks and Applications (6 papers), Face and Expression Recognition (3 papers) and Machine Learning and ELM (3 papers). Song Qing is often cited by papers focused on Neural Networks and Applications (6 papers), Face and Expression Recognition (3 papers) and Machine Learning and ELM (3 papers). Song Qing collaborates with scholars based in China, Singapore and Canada. Song Qing's co-authors include Gangli Zhu, Hong Yuan, Qing Shu, Bolun Yang, Xulei Yang, Jizhong Xiao, Yeng Chai Soh, Xiangjun Li, Xinping Zhang and Pei‐Chann Chang and has published in prestigious journals such as Journal of Applied Polymer Science, Biomedicine & Pharmacotherapy and Catalysis Communications.

In The Last Decade

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

Fields of papers citing papers by Song Qing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Qing

Since Specialization
Citations

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