Michael Pin-Chuan Lin
About
Michael Pin-Chuan Lin is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology.
According to data from OpenAlex, Michael Pin-Chuan Lin has authored 8 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computer Science Applications and 4 papers in Developmental and Educational Psychology. Recurrent topics in Michael Pin-Chuan Lin’s work include Online Learning and Analytics (5 papers), Innovative Teaching and Learning Methods (4 papers) and AI in Service Interactions (4 papers). Michael Pin-Chuan Lin is often cited by papers focused on Online Learning and Analytics (5 papers), Innovative Teaching and Learning Methods (4 papers) and AI in Service Interactions (4 papers). Michael Pin-Chuan Lin collaborates with scholars based in Canada, Taiwan and Argentina. Michael Pin-Chuan Lin's co-authors include Daniel Chang, Yu-Feng Lan, Philip H. Winne, Jovita Vytasek, John C. Nesbit, Mladen Raković, Eric Poitras and Maiga Chang and has published in prestigious journals such as Sustainability, Educational Technology Research and Development and Journal of Educational Computing Research.
In The Last Decade
Co-authorship network of co-authors of Michael Pin-Chuan Lin i
Fields of papers citing papers by Michael Pin-Chuan Lin
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 Michael Pin-Chuan Lin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Michael Pin-Chuan Lin may publish in the future.
Countries citing papers authored by Michael Pin-Chuan Lin
Since SpecializationCitations
This map shows the geographic impact of Michael Pin-Chuan Lin'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 Michael Pin-Chuan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pin-Chuan Lin more than expected).
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