John Sum
About
John Sum is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition.
According to data from OpenAlex, John Sum has authored 51 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in John Sum’s work include Neural Networks and Applications (27 papers), Machine Learning and ELM (13 papers) and Face and Expression Recognition (8 papers). John Sum is often cited by papers focused on Neural Networks and Applications (27 papers), Machine Learning and ELM (13 papers) and Face and Expression Recognition (8 papers). John Sum collaborates with scholars based in Hong Kong, Taiwan and United States. John Sum's co-authors include Chi-Sing Leung, Kevin Ho, Gilbert H. Young, Laiwan Chan, Yi Xiao, Hong Shen, Hongjiang Wang, A.G. Constantinides, P.K.S. Tam and Wenyu Qu and has published in prestigious journals such as IEEE Access, Neural Computation and IEEE Transactions on Neural Networks and Learning Systems.
In The Last Decade
Co-authorship network of co-authors of John Sum i
Fields of papers citing papers by John Sum
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 John Sum. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where John Sum may publish in the future.
Countries citing papers authored by John Sum
Since SpecializationCitations
This map shows the geographic impact of John Sum'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 John Sum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Sum more than expected).
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