John Q. Gan
About
John Q. Gan is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Signal Processing.
According to data from OpenAlex, John Q. Gan has authored 104 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cognitive Neuroscience, 37 papers in Artificial Intelligence and 22 papers in Signal Processing. Recurrent topics in John Q. Gan’s work include EEG and Brain-Computer Interfaces (39 papers), Neural Networks and Applications (29 papers) and Neural dynamics and brain function (22 papers). John Q. Gan is often cited by papers focused on EEG and Brain-Computer Interfaces (39 papers), Neural Networks and Applications (29 papers) and Neural dynamics and brain function (22 papers). John Q. Gan collaborates with scholars based in United Kingdom, China and India. John Q. Gan's co-authors include C.J. Harris, Huosheng Hu, Haixian Wang, Shang‐Ming Zhou and Chun Sing Louis Tsui and has published in prestigious journals such as PLoS ONE, NeuroImage and Neuroscience.
In The Last Decade
Fields of papers citing papers by John Q. Gan
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 Q. Gan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where John Q. Gan may publish in the future.
Countries citing papers authored by John Q. Gan
Since SpecializationCitations
This map shows the geographic impact of John Q. Gan'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 Q. Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Q. Gan more than expected).
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