Kung

About

Kung is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Kung has authored 21 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 5 papers in Artificial Intelligence and 4 papers in Computational Theory and Mathematics. Recurrent topics in Kung’s work include Neural Networks and Applications (3 papers), Machine Learning and ELM (3 papers) and Cellular Automata and Applications (3 papers). Kung is often cited by papers focused on Neural Networks and Applications (3 papers), Machine Learning and ELM (3 papers) and Cellular Automata and Applications (3 papers). Kung collaborates with scholars based in United States, Hong Kong and Australia. Kung's co-authors include Brent, Hwang, Foster, David S. Touretzky, Pang, Jean, Yao -, He, Ying Ying and Li and has published in prestigious journals such as Clinical Endocrinology, Computer and IEEE Transactions on Computers.

In The Last Decade

Co-authorship network of co-authors of Kung i

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Fields of papers citing papers by Kung

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

Countries citing papers authored by Kung

Since Specialization

Citations

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

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