Kung‐Sik Chan

About

Kung‐Sik Chan is a scholar working on Statistics and Probability, Genetics and Artificial Intelligence. According to data from OpenAlex, Kung‐Sik Chan has authored 31 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 6 papers in Genetics and 5 papers in Artificial Intelligence. Recurrent topics in Kung‐Sik Chan’s work include Statistical Methods and Inference (5 papers), Financial Risk and Volatility Modeling (4 papers) and Animal Ecology and Behavior Studies (4 papers). Kung‐Sik Chan is often cited by papers focused on Statistical Methods and Inference (5 papers), Financial Risk and Volatility Modeling (4 papers) and Animal Ecology and Behavior Studies (4 papers). Kung‐Sik Chan collaborates with scholars based in United States, Norway and United Kingdom. Kung‐Sik Chan's co-authors include Nils Chr. Stenseth, Howell Tong, Chang Hyun Lee, Eric A. Hoffman and Barbara Stay and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Fields of papers citing papers by Kung‐Sik Chan

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 Kung‐Sik Chan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kung‐Sik Chan may publish in the future.

Countries citing papers authored by Kung‐Sik Chan

Since Specialization

Citations

This map shows the geographic impact of Kung‐Sik Chan'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 Kung‐Sik Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kung‐Sik Chan more than expected).

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