Donggil Song

1.1k total citations
35 papers, 723 citations indexed

About

Donggil Song is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education. According to data from OpenAlex, Donggil Song has authored 35 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Science Applications, 14 papers in Developmental and Educational Psychology and 13 papers in Education. Recurrent topics in Donggil Song's work include Innovative Teaching and Learning Methods (14 papers), Online Learning and Analytics (12 papers) and Online and Blended Learning (9 papers). Donggil Song is often cited by papers focused on Innovative Teaching and Learning Methods (14 papers), Online Learning and Analytics (12 papers) and Online and Blended Learning (9 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, Anthony J. Onwuegbuzie and R. Burke Johnson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Educational Technology Research and Development.

In The Last Decade

Donggil Song

33 papers receiving 670 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Donggil Song United States 15 338 257 235 158 140 35 723
Rose Luckin United Kingdom 15 267 0.8× 219 0.9× 224 1.0× 147 0.9× 150 1.1× 49 698
Eric Poitras Canada 15 268 0.8× 192 0.7× 306 1.3× 119 0.8× 142 1.0× 50 680
Young Hoan Cho South Korea 13 501 1.5× 249 1.0× 307 1.3× 143 0.9× 129 0.9× 50 945
Chengyuan Jia Hong Kong 10 391 1.2× 223 0.9× 158 0.7× 159 1.0× 130 0.9× 16 717
Il‐Hyun Jo South Korea 14 447 1.3× 503 2.0× 238 1.0× 158 1.0× 114 0.8× 53 802
Hercy N.H. Cheng Taiwan 14 285 0.8× 181 0.7× 261 1.1× 129 0.8× 94 0.7× 49 627
Ruofei Zhang Hong Kong 16 292 0.9× 182 0.7× 352 1.5× 227 1.4× 209 1.5× 41 888
Andrew A. Tawfik United States 18 602 1.8× 241 0.9× 318 1.4× 145 0.9× 70 0.5× 73 1.0k
Kyungbin Kwon United States 17 398 1.2× 366 1.4× 417 1.8× 151 1.0× 84 0.6× 58 891

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).

Fields of papers citing papers by Donggil Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donggil Song. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Donggil Song. The network helps show where Donggil Song may publish in the future.

Co-authorship network of co-authors of Donggil Song

This figure shows the co-authorship network connecting the top 25 collaborators of Donggil Song. A scholar is included among the top collaborators of Donggil Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donggil Song. Donggil Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nelson, Karen, et al.. (2025). Exploration of the Role of ChatGPT in Teaching Communication Skills for Medical Students: A Pilot Study. PubMed. 35(4). 1871–1882. 2 indexed citations
2.
Song, Donggil. (2024). How Learners’ Trust Changes in Generative AI over a Semester of Undergraduate Courses. International Journal of Artificial Intelligence in Education. 35(3). 1445–1464. 2 indexed citations
3.
4.
Song, Donggil & Krista Glazewski. (2023). Scaffolding self-regulated learning in student-generated questioning using mobile phones. Education and Information Technologies. 28(8). 10781–10802. 4 indexed citations
5.
Song, Donggil, John H. Hitchcock, Anthony J. Onwuegbuzie, et al.. (2020). Editors’ Introduction to the International Journal of Multiple Research Approaches: Issue 12(1). International Journal of Multiple Research Approaches. 1–3.
6.
7.
Song, Donggil, et al.. (2019). Participation in Online Courses and Interaction With a Virtual Agent. The International Review of Research in Open and Distributed Learning. 20(1). 43–62. 16 indexed citations
8.
Hitchcock, John H., Anthony J. Onwuegbuzie, R. Burke Johnson, et al.. (2019). Editors’ Introduction to Volume 11, Issue 1 of the International Journal of Multiple Research Approaches (and a Progress Report). International Journal of Multiple Research Approaches. 11(1). 1–6. 9 indexed citations
9.
Song, Donggil, et al.. (2019). Participation in Online Courses and Interaction With a Virtual Agent. The International Review of Research in Open and Distributed Learning. 20(1). 49 indexed citations
10.
Song, Donggil, et al.. (2019). Types and Timing of Scaffolding to Promote Meaningful Peer Interaction and Increase Learning Performance in Computer-Supported Collaborative Learning Environments. Journal of Educational Computing Research. 58(3). 640–661. 34 indexed citations
11.
Hitchcock, John H., Anthony J. Onwuegbuzie, Donggil Song, et al.. (2019). Editors’ Introduction to the International Journal of Multiple Research Approaches: Issue 11(2). International Journal of Multiple Research Approaches. 11(2). 94–97.
12.
Oh, Eun Young, et al.. (2019). Interactive Computing Technology in Anti-Bullying Education: The Effects of Conversation-Bot’s Role on K-12 Students’ Attitude Change Toward Bullying Problems. Journal of Educational Computing Research. 58(1). 200–219. 34 indexed citations
13.
Onwuegbuzie, Anthony J., John H. Hitchcock, R. Burke Johnson, et al.. (2018). Editors’ Introduction to the Mixed Methods Manifesto Inaugural Special Issue. International Journal of Multiple Research Approaches. 10(1). 5–13. 1 indexed citations
14.
Hitchcock, John H., Anthony J. Onwuegbuzie, R. Burke Johnson, et al.. (2018). Editors’ Introduction to the International Journal of Multiple Research Approaches: Journal Aims, Scope, and Intended Practices. International Journal of Multiple Research Approaches. 10(1). 1–4. 5 indexed citations
15.
Song, Donggil. (2018). Learning Analytics as an Educational Research Approach. International Journal of Multiple Research Approaches. 10(1). 102–111. 13 indexed citations
16.
Song, Donggil, et al.. (2017). Interacting with a conversational agent system for educational purposes in online courses. 78–82. 63 indexed citations
17.
Song, Donggil & Eun Young Oh. (2016). A Participatory Design Approach for a Mobile App-Based Personal Response System. Journal of Educational Technology Systems. 44(3). 346–361. 5 indexed citations
18.
Song, Donggil. (2013). Expertise reversal effect and sequencing of learning tasks in online English as a second language learning environment. Interactive Learning Environments. 24(3). 423–437. 4 indexed citations
19.
Song, Donggil, et al.. (2012). Inquiry-based Learning Environment Using Mobile Devices in Math Classrooms. 26(3). 127–127. 1 indexed citations
20.
Song, Donggil, et al.. (2011). Toward designing mobile games for visually challenged children. 234–238. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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