Youngsun Moon
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
Papers in
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- Writing and Handwriting Education 6
- Education Practices and Evaluation 1
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- Second Language Acquisition and Learning 4
- Reading and Literacy Development 1
- Co-authors
- Tamara Tate (4 shared papers)Carol Booth Olson (3 shared papers)Waverly Tseng (2 shared papers)Jacob Steiss (2 shared papers)Mark Warschauer (2 shared papers)Jiali Wang (1 shared paper)Steve Graham (1 shared paper)Michael Hébert (1 shared paper)
- Journals
- Journal of Educational Psychology (1 paper)Reading and Writing (1 paper)Journal of Experimental Child Psychology (1 paper)The Journal of AsiaTEFL (1 paper)Computers and Education Artificial Intelligence (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Youngsun Moon
10 papers receiving 290 citations
Youngsun Moon's Hit Papers
Peers
Comparison fields: 5 of 52
- Health Informatics 49
- Computer Science Applications 63
- Developmental and Educational Psychology 71
- Family Practice 6
- Education 96
Countries citing papers authored by Youngsun Moon
This map shows the geographic impact of Youngsun Moon'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 Youngsun Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngsun Moon more than expected).
Fields of papers citing papers by Youngsun Moon
This network shows the impact of papers produced by Youngsun Moon. 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 Youngsun Moon. The network helps show where Youngsun Moon may publish in the future.
Co-authors
The 15 scholars most cited alongside Youngsun Moon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Comparing the quality of human and ChatGPT feedback of students’ writing Hit paper breakdown → | 2024 | 202 |
| 2 | A meta-analysis of writing treatments for students in grades 6–12. Hit paper breakdown → | 2023 | 44 |
| 3 | 2024 | 13 | |
| 4 | 2019 | 11 | |
| 5 | 2018 | 11 | |
| 6 | 2019 | 6 | |
| 7 | 2024 | 5 | |
| 8 | Salient Linguistic Features of EFL Learner Spoken Corpus Elicited by a Computerized Speaking Test | 2019 | 2 |
| 9 | 2024 | 1 | |
| 10 | 2017 | 1 | |
| 11 | 2018 | 0 |
About Youngsun Moon
Youngsun Moon is a scholar working on Education, Developmental and Educational Psychology, Artificial Intelligence, Computer Networks and Communications and Language and Linguistics, having authored 11 papers that have together received 296 indexed citations. Recurring topics across this work include Writing and Handwriting Education (6 papers), Second Language Acquisition and Learning (4 papers), Text Readability and Simplification (3 papers), Educational Research and Pedagogy (2 papers), EFL/ESL Teaching and Learning (2 papers), Discourse Analysis in Language Studies (1 paper), Education Practices and Evaluation (1 paper) and Reading and Literacy Development (1 paper). The work is most often cited by research in Health Informatics (49 citations), Computer Science Applications (63 citations), Developmental and Educational Psychology (71 citations), Family Practice (6 citations) and Education (96 citations). Youngsun Moon has collaborated with scholars based in United States and South Korea. Frequent co-authors include Tamara Tate, Carol Booth Olson, Waverly Tseng, Jacob Steiss, Mark Warschauer, Jiali Wang, Steve Graham, Michael Hébert, Inn-Chull Choi and Steve Graham. Their work appears in journals such as Journal of Educational Psychology, Reading and Writing, Journal of Experimental Child Psychology, The Journal of AsiaTEFL and Computers and Education Artificial Intelligence.
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.