Donggil Song

30 papers and 460 indexed citations i.

About

Donggil Song is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Education. According to data from OpenAlex, Donggil Song has authored 30 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Developmental and Educational Psychology, 12 papers in Computer Science Applications and 11 papers in Education. Recurrent topics in Donggil Song’s work include Innovative Teaching and Learning Methods (13 papers), Online Learning and Analytics (10 papers) and Online and Blended Learning (8 papers). Donggil Song is often cited by papers focused on Innovative Teaching and Learning Methods (13 papers), Online Learning and Analytics (10 papers) and Online and Blended Learning (8 papers). Donggil Song collaborates with scholars based in United States, South Korea and Canada. Donggil Song's co-authors include Eun Young Oh, Curtis J. Bonk, Dongho Kim, Paul Kim, Helen Crompton, Krista Glazewski, Annisa Ratna Sari, Kyungbin Kwon, Jiawen Zhu and Zhen Xu and has published in prestigious journals such as Computers in Human Behavior, Educational Technology Research and Development and Journal of Computer Assisted Learning.

In The Last Decade

Co-authorship network of co-authors of Donggil Song i

Fields of papers citing papers by Donggil 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 Donggil Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Donggil Song may publish in the future.

Countries citing papers authored by Donggil Song

Since Specialization
Citations

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

Rankless by CCL
2025