Yeong-Tae Song

10 papers and 35 indexed citations i.

About

Yeong-Tae Song is a scholar working on Management Science and Operations Research, Information Systems and Health Information Management. According to data from OpenAlex, Yeong-Tae Song has authored 10 papers receiving a total of 35 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management Science and Operations Research, 4 papers in Information Systems and 4 papers in Health Information Management. Recurrent topics in Yeong-Tae Song’s work include Data Quality and Management (3 papers), Electronic Health Records Systems (3 papers) and Digital Transformation in Industry (2 papers). Yeong-Tae Song is often cited by papers focused on Data Quality and Management (3 papers), Electronic Health Records Systems (3 papers) and Digital Transformation in Industry (2 papers). Yeong-Tae Song collaborates with scholars based in United States. Yeong-Tae Song's co-authors include Alberto R. Yataco and has published in prestigious journals such as and .

In The Last Decade

Fields of papers citing papers by Yeong-Tae Song

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

Countries citing papers authored by Yeong-Tae Song

Since Specialization
Citations

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

Rankless by CCL
2025