Fu Song

42 papers and 264 indexed citations i.

About

Fu Song is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, Fu Song has authored 42 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 9 papers in Signal Processing. Recurrent topics in Fu Song’s work include Adversarial Robustness in Machine Learning (14 papers), Formal Methods in Verification (10 papers) and Advanced Malware Detection Techniques (9 papers). Fu Song is often cited by papers focused on Adversarial Robustness in Machine Learning (14 papers), Formal Methods in Verification (10 papers) and Advanced Malware Detection Techniques (9 papers). Fu Song collaborates with scholars based in China, United Kingdom and Singapore. Fu Song's co-authors include Zhe Zhao, Lingling Fan, Yang Liu, Xiaoning Du, Tayssir Touili, Sen Chen, Jun Zhang, Zhanxue Wang, Taolue Chen and Li Zhou 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 i

Fields of papers citing papers by Fu Song

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Fu Song. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025