Fu Song

43 papers and 191 indexed citations
i
.

About

Fu Song is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Hardware and Architecture. According to data from OpenAlex, Fu Song has authored 43 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 9 papers in Hardware and Architecture. Recurrent topics in Fu Song’s work include Adversarial Robustness in Machine Learning (13 papers), Formal Methods in Verification (12 papers) and Security and Verification in Computing (9 papers). Fu Song is often cited by papers focused on Adversarial Robustness in Machine Learning (13 papers), Formal Methods in Verification (12 papers) and Security and Verification in Computing (9 papers). Fu Song collaborates with scholars based in China, United Kingdom and France. Fu Song's co-authors include Tayssir Touili, Sen Chen, Lingling Fan, Zhe Zhao, Li Zhou, Zhanxue Wang, Taolue Chen, Jun Zhang, Yang Liu and Lei Bu and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, Neurocomputing and IEEE Transactions on Software Engineering.

In The Last Decade

Co-authorship network of co-authors of Fu Song

This figure shows the co-authorship network connecting the top 25 collaborators of Fu Song. A scholar is included among the top collaborators of Fu Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fu Song. Fu Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Fu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fu Song

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2026