Yanghee Kim

2.7k total citations
80 papers, 1.4k citations indexed

About

Yanghee Kim is a scholar working on Education, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Yanghee Kim has authored 80 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Education, 33 papers in Developmental and Educational Psychology and 21 papers in Artificial Intelligence. Recurrent topics in Yanghee Kim's work include Innovative Teaching and Learning Methods (30 papers), Online and Blended Learning (14 papers) and Intelligent Tutoring Systems and Adaptive Learning (14 papers). Yanghee Kim is often cited by papers focused on Innovative Teaching and Learning Methods (30 papers), Online and Blended Learning (14 papers) and Intelligent Tutoring Systems and Adaptive Learning (14 papers). Yanghee Kim collaborates with scholars based in United States, South Korea and China. Yanghee Kim's co-authors include Amy L. Baylor, Wei Quan, Moon‐Heum Cho, Jae Hoon Lim, Sohyun An, Kyung Kim, Jihye Kim, Sherry Marx, Eric Hamilton and Sachit Butail and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Educational Psychology and Computers & Education.

In The Last Decade

Yanghee Kim

72 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanghee Kim United States 18 670 522 417 264 225 80 1.4k
Bas Giesbers Netherlands 16 797 1.2× 426 0.8× 196 0.5× 599 2.3× 213 0.9× 42 1.6k
Kaśka Porayska‐Pomsta United Kingdom 17 402 0.6× 346 0.7× 385 0.9× 331 1.3× 105 0.5× 41 1.5k
Carole R. Beal United States 27 631 0.9× 905 1.7× 377 0.9× 204 0.8× 227 1.0× 98 1.8k
Cyril Brom Czechia 16 297 0.4× 463 0.9× 184 0.4× 204 0.8× 141 0.6× 74 1.1k
Andreas Lachner Germany 22 883 1.3× 643 1.2× 183 0.4× 204 0.8× 171 0.8× 69 1.6k
Muhterem Dindar Finland 21 361 0.5× 465 0.9× 196 0.5× 387 1.5× 162 0.7× 39 1.2k
Namin Shin South Korea 13 527 0.8× 271 0.5× 154 0.4× 177 0.7× 439 2.0× 46 1.2k
Brian C. Nelson United States 22 514 0.8× 949 1.8× 115 0.3× 298 1.1× 361 1.6× 61 1.8k
Hiller A. Spires United States 16 666 1.0× 798 1.5× 255 0.6× 195 0.7× 156 0.7× 64 1.5k
Hayo Reinders Thailand 30 1.0k 1.5× 1.1k 2.2× 154 0.4× 251 1.0× 207 0.9× 131 3.0k

Countries citing papers authored by Yanghee Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yanghee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanghee Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yanghee Kim. A scholar is included among the top collaborators of Yanghee Kim 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 Yanghee Kim. Yanghee Kim 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.
Kim, Yanghee, et al.. (2025). Exploring the influence of perceived economic mobility on leisure consumption: The moderating effect of social capitals. Journal of Retailing and Consumer Services. 85. 104300–104300.
2.
Kim, Yanghee, Cynthia D’Angelo, Francesco Cafaro, et al.. (2020). Multimodal Data Analytics for Assessing Collaborative Interactions. IUScholarWorks (Indiana University). 2547–2554. 3 indexed citations
3.
Kim, Yanghee, et al.. (2018). Designing Technology as a Cultural Broker for Young Children: Challenges and Opportunities.. ICLS. 2 indexed citations
4.
Kim, Yanghee. (2016). Designing a Robot for Cultural Brokering in Education.. Educational Technology archive. 56(4). 41–43. 5 indexed citations
5.
Kim, Yanghee & Amy L. Baylor. (2015). Research-Based Design of Pedagogical Agent Roles: a Review, Progress, and Recommendations. International Journal of Artificial Intelligence in Education. 26(1). 160–169. 157 indexed citations
6.
Kim, Yanghee & Sung‐Kyung Yoo. (2014). Comparative Study of Career variables among Self-Construal Latent Classess of Female University Students in Korea. THE KOREAN JOURNAL OF COUNSELING AND PSYCHOTHERAPY. 26(4). 1047–1072. 1 indexed citations
7.
Kim, Yanghee. (2013). Digital Peers to Help Children's Text Comprehension and Perceptions.. Educational Technology & Society. 16(4). 59–70. 13 indexed citations
8.
Kim, Yanghee. (2012). How Do University Students Construct Text Meanings Through Collaborative Reading. 19(2). 167–194. 1 indexed citations
9.
Kim, Yanghee & Wei Quan. (2011). The impact of user attributes and user choice in an agent-based environment. Digital Commons - USU (Utah State University). 56(2). 505. 19 indexed citations
10.
Kim, Yanghee. (2009). Building social relations with digital virtual peers in web-based learning. International Journal of Learning Technology. 4(3). 234. 1 indexed citations
11.
Kim, Yanghee, Beilei Xu, & Amir M. Sharif. (2008). Pedagogical agents as social models in an online learning environment MathGirls. Digital Commons - USU (Utah State University). 4(2). 99. 1 indexed citations
12.
Kim, Yanghee & Amy L. Baylor. (2007). Pedagogical Agents as Social Models to Influence Learner Attitudes. Digital Commons - USU (Utah State University). 47(1). 23–28. 27 indexed citations
13.
Kim, Yanghee, et al.. (2006). MathGirls: Motivating Girls to Learn Math through Pedagogical Agents. EdMedia: World Conference on Educational Media and Technology. 2006(1). 2025–2032. 3 indexed citations
14.
Kim, Yanghee, et al.. (2006). Scaffolding learner motivation through a virtual peer. Digital Commons - USU (Utah State University). 335–341. 6 indexed citations
15.
Kim, Yanghee, et al.. (2006). Content-Based English Learning through Pedagogical Agents. English Teaching Practice & Critique. 61(4). 229. 1 indexed citations
16.
Valdés, Teresa, et al.. (2004). Women's Participation in Social Development: Experiences from Asia, Latin America and the Caribbean. Inter-American Development Bank eBooks. 2 indexed citations
17.
Kim, Yanghee. (2003). Pedagogical Agent as Learning Companion: Its Constituents and Educational Implications. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2003(1). 2229–2236. 1 indexed citations
18.
Baylor, Amy L. & Yanghee Kim. (2003). Validating pedagogical agent roles: Expert, Motivator, and Mentor. EdMedia: World Conference on Educational Media and Technology. 2003(1). 463–466. 16 indexed citations
19.
Kim, Yanghee & E. Shen. (2003). The Effects of Competency and Type of Interaction of Agent Learning Companion on Agent Value, Motivation, and Learning. EdMedia: World Conference on Educational Media and Technology. 2003(1). 811–814. 1 indexed citations
20.
Kim, Yanghee. (2003). Things that Make Agent as Learning Companion Effective. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2003(1). 1659–1666.

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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