Moon‐Heum Cho

2.5k citations
43 papers · 1.7k indexed · 1 hit paper · h-index 20
Topics
Online and Blended Learning (22 papers)Innovative Teaching and Learning Methods (16 papers)Online Learning and Analytics (10 papers)

In The Last Decade

Moon‐Heum Cho

40 papers receiving 1.6k citations

Hit Papers

Unpacking online learning experiences: Online learning se...20132026201720212013100200300

Peers

Moon‐Heum Cho
Comparison fields: 5 of 87
  • Education 1.2k
  • Developmental and Educational Psychology 623
  • Computer Science Applications 438
  • Information Systems 340
  • Sociology and Political Science 257
Replace Kyu Yon Lim with:
Kyu Yon Lim South Korea
Temi Bidjerano United States
Anne Wade Canada
Bas Giesbers Netherlands
Eric Zhi Feng Liu Taiwan
Chin‐Hsi Lin Hong Kong
Chrysi Rapanta Portugal
Jered Borup United States
Syh‐Jong Jang Taiwan
Torrey Trust United States
Moon‐Heum Cho relative to Kyu Yon Lim South Korea Kyu Yon Lim's profile →
Citations per field
00.5×
Kyu Yon Lim · 1×
Citations per year

Countries citing papers authored by Moon‐Heum Cho

Since Specialization
Citations

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

Fields of papers citing papers by Moon‐Heum Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moon‐Heum 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 Moon‐Heum Cho. The network helps show where Moon‐Heum Cho may publish in the future.

Co-authorship network of co-authors of Moon‐Heum Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Moon‐Heum Cho. A scholar is included among the top collaborators of Moon‐Heum 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 Moon‐Heum Cho. Moon‐Heum 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
#WorkIndexed citations
1 2
2 1
3 12
4 11
5 2
6 3
7 5
8 1
9 6
10 19
11 47
12 1
13 63
14 29
15 3
16 5
17 35
18 26
19 2
20
The Effects of Design Strategies for Promoting Students' Self-Regulated Learning Skills on Students' Self-Regulation and Achievements in Online Learning Environments
15

About Moon‐Heum Cho

Moon‐Heum Cho is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Online and Blended Learning (22 papers), Innovative Teaching and Learning Methods (16 papers) and Online Learning and Analytics (10 papers). The work is most often cited by research in Computer Science Applications (438 citations), Developmental and Educational Psychology (623 citations) and Education (1.2k citations). Moon‐Heum Cho has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Demei Shen, Rose M. Marra, Chia‐Lin Tsai, David H. Jonassen, Yanghee Kim, YoonJung Cho, Ji Young Cho, Chia-Chi Yang, Bosung Kim and James M. Laffey. Their work appears in journals such as Studies in Higher Education, System and The Internet and Higher Education.

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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