Congzheng Song
About
Congzheng Song is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering.
According to data from OpenAlex, Congzheng Song has authored 13 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Congzheng Song’s work include Adversarial Robustness in Machine Learning (8 papers), Privacy-Preserving Technologies in Data (6 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Congzheng Song is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Privacy-Preserving Technologies in Data (6 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Congzheng Song collaborates with scholars based in United States, United Kingdom and China. Congzheng Song's co-authors include Vitaly Shmatikov, Marco Stronati, Reza Shokri, Luca Melis, Emiliano De Cristofaro, Thomas Ristenpart, Ananth Raghunathan, David A. Gutman, Safoora Yousefi and Chengliang Dong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Vacuum.
In The Last Decade
Co-authorship network of co-authors of Congzheng Song i
Fields of papers citing papers by Congzheng Song
Since SpecializationEngineeringComputer 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 Congzheng Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Congzheng Song may publish in the future.
Countries citing papers authored by Congzheng Song
Since SpecializationCitations
This map shows the geographic impact of Congzheng 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 Congzheng Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congzheng Song more than expected).
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