Dabae Lee

24 papers receiving 424 citations

Peers

Dabae Lee
Comparison fields: 5 of 71
  • Computer Science Applications 149
  • Health Informatics 26
  • Developmental and Educational Psychology 124
  • Education 230
  • Media Technology 41
Replace Tianchong Wang with:
Tianchong Wang Hong Kong
Anna Mavroudi Norway
Huanhuan Wang China
Isabel Hilliger Chile
Elizabeth Patitsas Canada
Linda Shear United States
Douglas Grimes United States
Mai Neo Malaysia
Johannes Magenheim Germany
Pei‐Ying Chen Taiwan
Dabae Lee relative to Tianchong Wang Hong Kong Tianchong Wang's profile →
Citations per field
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Tianchong Wang · 1×
Citations per year

Countries citing papers authored by Dabae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dabae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dabae Lee. 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 Dabae Lee. The network helps show where Dabae Lee may publish in the future.

Co-authors

The 14 scholars most cited alongside Dabae Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dabae Lee Line = papers co-authored together Dabae Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015111
2 2022103
3 201860
4 201749
5 202119
6 201518
7 202414
8
How to Personalize Learning in K-12 Schools: Five Essential Design Features.
201410
9 201410
10 20229
11 20208
12 20158
13 20118
14 20145
15
The Role of Personalized Integrated Educational Systems in the Information-Age Paradigm of Education
20114
16 20214
17 20204
18 20204
19 20243
20 20242

About Dabae Lee

Dabae Lee is a scholar working on Education, Developmental and Educational Psychology, Media Technology, Computer Science Applications and Information Systems, having authored 25 papers that have together received 458 indexed citations. Recurring topics across this work include Online and Blended Learning (11 papers), Innovative Teaching and Learning Methods (10 papers), Experimental Learning in Engineering (5 papers), Online Learning and Analytics (3 papers), Teacher Education and Leadership Studies (3 papers), Innovative Teaching Methods (2 papers), Team Dynamics and Performance (2 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). The work is most often cited by research in Computer Science Applications (149 citations), Health Informatics (26 citations), Developmental and Educational Psychology (124 citations), Education (230 citations) and Media Technology (41 citations). Dabae Lee has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Yeol Huh, Charles M. Reigeluth, Chun‐Yi Lin, Eunbae Lee, Sinem Aslan, William R. Watson, Jiyoon Jung, Sunnie Lee Watson, Anne Ottenbreit‐Leftwich and Krista Glazewski. Their work appears in journals such as Educational Technology Research and Development, Contemporary Educational Technology, Instructional Science, Journal of Education for Teaching International Research and Pedagogy and International Journal of Research & Method in 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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