Pak Chung Wong
About
Pak Chung Wong is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence.
According to data from OpenAlex, Pak Chung Wong has authored 52 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 14 papers in Statistical and Nonlinear Physics and 9 papers in Artificial Intelligence. Recurrent topics in Pak Chung Wong’s work include Data Visualization and Analytics (28 papers), Complex Network Analysis Techniques (14 papers) and Video Analysis and Summarization (5 papers). Pak Chung Wong is often cited by papers focused on Data Visualization and Analytics (28 papers), Complex Network Analysis Techniques (14 papers) and Video Analysis and Summarization (5 papers). Pak Chung Wong collaborates with scholars based in United States, Taiwan and Canada. Pak Chung Wong's co-authors include H.P. Foote, J. Joshua Thomas, R. Daniel Bergeron, Kwong‐Kwok Wong, Huamin Qu, Hong Zhou, Xiaoming Li, Weiwei Cui, Patrick Mackey and Han‐Wei Shen and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Power Systems and IEEE Transactions on Visualization and Computer Graphics.
In The Last Decade
Co-authorship network of co-authors of Pak Chung Wong i
Fields of papers citing papers by Pak Chung Wong
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 Pak Chung Wong. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Pak Chung Wong may publish in the future.
Countries citing papers authored by Pak Chung Wong
Since SpecializationCitations
This map shows the geographic impact of Pak Chung Wong'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 Pak Chung Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pak Chung Wong more than expected).
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