Young Hoan Cho

1.6k total citations · 1 hit paper
50 papers, 945 citations indexed

About

Young Hoan Cho is a scholar working on Education, Information Systems and Developmental and Educational Psychology. According to data from OpenAlex, Young Hoan Cho has authored 50 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Education, 16 papers in Information Systems and 16 papers in Developmental and Educational Psychology. Recurrent topics in Young Hoan Cho's work include Education and Learning Interventions (14 papers), Innovative Teaching and Learning Methods (11 papers) and Education and Critical Thinking Development (9 papers). Young Hoan Cho is often cited by papers focused on Education and Learning Interventions (14 papers), Innovative Teaching and Learning Methods (11 papers) and Education and Critical Thinking Development (9 papers). Young Hoan Cho collaborates with scholars based in South Korea, United States and Singapore. Young Hoan Cho's co-authors include Kwangsu Cho, Jinhee Kim, Hyun-Kyung Lee, David H. Jonassen, Jeongyun Han, Wonjong Rhee, Hyoseon Choi, Imelda S. Caleon, Kenneth Y. T. Lim and Kyungmee Lee and has published in prestigious journals such as Computers in Human Behavior, Computers & Education and The Internet and Higher Education.

In The Last Decade

Young Hoan Cho

35 papers receiving 869 citations

Hit Papers

Learning design to support student-AI collaboration: pers... 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Learning design to support student-AI collaboration: perspectives of leading teachers for AI in education
    2022 245 citations Jinhee Kim, Hyun-Kyung Lee et al. Education and Information Technologies profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Hoan Cho South Korea 13 501 307 249 143 129 50 945
Ruofei Zhang Hong Kong 16 292 0.6× 352 1.1× 182 0.7× 227 1.6× 209 1.6× 41 888
Donggil Song United States 15 338 0.7× 235 0.8× 257 1.0× 158 1.1× 140 1.1× 35 723
Rose Luckin United Kingdom 15 267 0.5× 224 0.7× 219 0.9× 147 1.0× 150 1.2× 49 698
Saman Ebadi Iran 19 560 1.1× 488 1.6× 117 0.5× 285 2.0× 153 1.2× 91 1.3k
Jamie Costley South Korea 16 457 0.9× 251 0.8× 206 0.8× 138 1.0× 94 0.7× 75 805
Oleksandra Poquet Australia 16 453 0.9× 292 1.0× 700 2.8× 147 1.0× 157 1.2× 42 1.1k
Hui‐Chin Yeh Taiwan 24 612 1.2× 385 1.3× 132 0.5× 284 2.0× 121 0.9× 69 1.3k
Yun‐Fang Tu Taiwan 19 332 0.7× 236 0.8× 377 1.5× 244 1.7× 255 2.0× 65 1.1k
Petros Lameras United Kingdom 13 257 0.5× 336 1.1× 190 0.8× 171 1.2× 111 0.9× 47 783
Daner Sun Hong Kong 17 433 0.9× 310 1.0× 338 1.4× 271 1.9× 119 0.9× 86 929

Countries citing papers authored by Young Hoan Cho

Since Specialization
Citations

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

Fields of papers citing papers by Young Hoan Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Hoan Cho. 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 Young Hoan Cho. The network helps show where Young Hoan Cho may publish in the future.

Co-authorship network of co-authors of Young Hoan Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Young Hoan Cho. A scholar is included among the top collaborators of Young Hoan Cho 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 Young Hoan Cho. Young Hoan Cho 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.
Cho, Young Hoan, et al.. (2024). The Effects of Prompt Scaffolding on Learning to Write Arguments with ChatGPT. Proceedings.. 1502–1505. 2 indexed citations
2.
Cho, Young Hoan, et al.. (2023). A Developmental Study on Design Principles of Activity-based Instruction for Improving Human-AI Collaboration Competency. Korean Association for Educational Information and Media. 29(1). 145–173. 1 indexed citations
3.
Kim, Jinhee, Hyun-Kyung Lee, & Young Hoan Cho. (2022). Learning design to support student-AI collaboration: perspectives of leading teachers for AI in education. Education and Information Technologies. 27(5). 6069–6104. 245 indexed citations breakdown →
4.
Cho, Young Hoan, et al.. (2021). Systematic Literature Review to Explore Research Trends and Future Directions of Multimodal Learning Analytics. Korean Association for Educational Information and Media. 27(2). 501–529.
5.
Han, Jeongyun, et al.. (2020). Learning analytics dashboards for adaptive support in face-to-face collaborative argumentation. Computers & Education. 163. 104041–104041. 83 indexed citations
6.
7.
Cho, Young Hoan, et al.. (2019). Case-Based Seamless Learning to Improve Authentic Problem Solving Skills. Korean Association for Educational Information and Media. 25(2). 223–249.
8.
Cho, Young Hoan, et al.. (2019). Student Perception of Adaptive Collaborative Learning Support through Learning Analytics. Korean Association for Educational Information and Media. 25(1). 25–57. 5 indexed citations
9.
Cho, Young Hoan, et al.. (2019). Effects and Limitations of Participatory Design for Teaching with Digital Textbooks. Korean Association for Educational Information and Media. 25(4). 767–795. 1 indexed citations
10.
Park, Yujin, et al.. (2017). Exploring Online Learning Profiles of In-service Teachers in a Professional Development Course. 18(2). 193–213. 1 indexed citations
11.
Cho, Young Hoan, et al.. (2017). Profile Analysis of Elementary School Students’ Smart Device Usage. 18(1). 27–47.
12.
Lim, Cheolil, et al.. (2017). Developing a National Data Metrics Framework for Learning Analytics in Korea. 18(1). 1–25.
13.
Huh, Sun, et al.. (2016). Instructional Support for Peer Assessment in STEAM Design Education. 2016(1). 111–111. 1 indexed citations
14.
Cho, Young Hoan, et al.. (2015). Review of Research on Online Learning Environments in Higher Education. Procedia - Social and Behavioral Sciences. 191. 2012–2017. 12 indexed citations
15.
Koh, Elizabeth, et al.. (2014). Where Are We Now? Research Trends in the Learning Sciences. ICLS. 2 indexed citations
16.
Kim, Yong & Young Hoan Cho. (2014). The Second Leap Toward “World Class” Education in Korea. The Asia-Pacific Education Researcher. 23(4). 783–794. 9 indexed citations
17.
Choi, Hyoseon, et al.. (2014). An Exploratory Study on the Importance and Performance Analysis of Health Message Design Principles. The Journal of the Korea Contents Association. 14(6). 307–318. 1 indexed citations
18.
Cho, Young Hoan, et al.. (2013). Gist-based Message Design Principles for Health Promotion and Public Health Education: Explication of Fuzzy Trace Theory. Korean Journal of Health Education and Promotion. 30(5). 189–199. 1 indexed citations
19.
Cho, Young Hoan & Kwangsu Cho. (2010). Peer reviewers learn from giving comments. Instructional Science. 39(5). 629–643. 204 indexed citations
20.
Cho, Kwangsu & Young Hoan Cho. (2007). Learning from Ill-Structured Cases. eScholarship (California Digital Library). 29(29). 3 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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