Xiangchen Song

12 papers and 119 indexed citations i.

About

Xiangchen Song is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Xiangchen Song has authored 12 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Information Systems. Recurrent topics in Xiangchen Song’s work include Topic Modeling (6 papers), Advanced Graph Neural Networks (2 papers) and Functional Brain Connectivity Studies (2 papers). Xiangchen Song is often cited by papers focused on Topic Modeling (6 papers), Advanced Graph Neural Networks (2 papers) and Functional Brain Connectivity Studies (2 papers). Xiangchen Song collaborates with scholars based in United States, China and Hong Kong. Xiangchen Song's co-authors include Jing Bai, Yaming Yang, Yujing Wang, Jiawei Han, Irwin King, Yankai Chen, Jieyu Zhang, Yan Zhang, Yuan Zhang and Xuan Wang and has published in prestigious journals such as IEEE Transactions on Wireless Communications, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

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

Fields of papers citing papers by Xiangchen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xiangchen Song

Since Specialization
Citations

This map shows the geographic impact of Xiangchen 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 Xiangchen Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangchen 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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2025