Mengkai Song
About
Mengkai Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine.
According to data from OpenAlex, Mengkai Song has authored 8 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Mengkai Song’s work include Adversarial Robustness in Machine Learning (6 papers), Privacy-Preserving Technologies in Data (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Mengkai Song is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Privacy-Preserving Technologies in Data (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Mengkai Song collaborates with scholars based in China and United States. Mengkai Song's co-authors include Zhibo Wang, Qian Wang, Hairong Qi, Zhifei Zhang, Yang Song, Ju Ren, Huyin Zhang, Hao Sheng, Alireza Rahimpour and Yang Song and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Journal and Journal of Materials Chemistry B.
In The Last Decade
Co-authorship network of co-authors of Mengkai Song i
Fields of papers citing papers by Mengkai 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 Mengkai Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mengkai Song may publish in the future.
Countries citing papers authored by Mengkai Song
Since SpecializationCitations
This map shows the geographic impact of Mengkai 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 Mengkai Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengkai Song more than expected).
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