Pak Chung Wong

52 papers and 929 indexed citations i.

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 929 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, United Kingdom and Taiwan. Pak Chung Wong's co-authors include H.P. Foote, Patrick Mackey, Jim Thomas, L. Ruby Leung and J. Joshua Thomas 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

Fields of papers citing papers by Pak Chung Wong

Since Specialization
EngineeringComputer 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 Specialization
Citations

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).

Rankless by CCL
2025