Songlong Xing

10 papers and 404 indexed citations i.

About

Songlong Xing is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Songlong Xing has authored 10 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Songlong Xing’s work include Emotion and Mood Recognition (4 papers), Multimodal Machine Learning Applications (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). Songlong Xing is often cited by papers focused on Emotion and Mood Recognition (4 papers), Multimodal Machine Learning Applications (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). Songlong Xing collaborates with scholars based in China and Italy. Songlong Xing's co-authors include Haifeng Hu, Sijie Mai, Ruijun Ma, Zhengming Li, Xu Jia, Liang Yang, Ying Zeng, Nicu Sebe, Enver Sangineto and Zipeng Xu and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Multimedia and IEEE Transactions on Affective Computing.

In The Last Decade

Co-authorship network of co-authors of Songlong Xing i

Fields of papers citing papers by Songlong Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Songlong Xing

Since Specialization
Citations

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