Zixing Song

12 papers and 517 indexed citations i.

About

Zixing Song is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Zixing Song has authored 12 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Zixing Song’s work include Advanced Graph Neural Networks (8 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Text and Document Classification Technologies (5 papers). Zixing Song is often cited by papers focused on Advanced Graph Neural Networks (8 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Text and Document Classification Technologies (5 papers). Zixing Song collaborates with scholars based in Hong Kong, China and Australia. Zixing Song's co-authors include Irwin King, Xiangli Yang, Zenglin Xu, Yifei Zhang, Hao Zhu, Piotr Koniusz, Yankai Chen, Chen Ma, Meng‐Lin Yang and Jieping Ye and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering and arXiv (Cornell University).

In The Last Decade

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

Fields of papers citing papers by Zixing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zixing Song

Since Specialization
Citations

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