Yeonju Jang

726 total citations · 1 hit paper
16 papers, 437 citations indexed

About

Yeonju Jang is a scholar working on Computer Science Applications, Information Systems and Information Systems and Management. According to data from OpenAlex, Yeonju Jang has authored 16 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Science Applications, 4 papers in Information Systems and 4 papers in Information Systems and Management. Recurrent topics in Yeonju Jang's work include Online Learning and Analytics (5 papers), Technology Adoption and User Behaviour (3 papers) and Ethics and Social Impacts of AI (3 papers). Yeonju Jang is often cited by papers focused on Online Learning and Analytics (5 papers), Technology Adoption and User Behaviour (3 papers) and Ethics and Social Impacts of AI (3 papers). Yeonju Jang collaborates with scholars based in South Korea, United States and Germany. Yeonju Jang's co-authors include Seongyune Choi, Hyeoncheol Kim, Woojin Kim, Woo Jin Kim, Namin Shin, Jaeho Jeon, K. I. Hahn, Sangjoon Ahn, B. Hong and J. Park and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Education and Information Technologies and International Journal of Human-Computer Interaction.

In The Last Decade

Yeonju Jang

15 papers receiving 419 citations

Hit Papers

Influence of Pedagogical Beliefs and Perceived Trust on T... 2022 2026 2023 2024 2022 50 100 150
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. Influence of Pedagogical Beliefs and Perceived Trust on Teachers’ Acceptance of Educational Artificial Intelligence Tools
    2022 150 citations Seongyune Choi, Yeonju Jang et al. International Journal of Human-Computer Interaction profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeonju Jang South Korea 7 219 142 76 75 73 16 437
Seongyune Choi South Korea 7 248 1.1× 191 1.3× 95 1.3× 79 1.1× 75 1.0× 14 511
Tanya Nazaretsky Israel 7 189 0.9× 139 1.0× 60 0.8× 43 0.6× 33 0.5× 12 389
Ahmed Hosny Saleh Metwally China 9 173 0.8× 114 0.8× 96 1.3× 31 0.4× 36 0.5× 27 419
William Man-Yin Cheung Hong Kong 6 225 1.0× 107 0.8× 76 1.0× 85 1.1× 17 0.2× 6 395
Carmen Fernández-Morante Spain 7 158 0.7× 68 0.5× 43 0.6× 45 0.6× 13 0.2× 21 356
Owolabi Paul Adelana Nigeria 6 173 0.8× 84 0.6× 27 0.4× 18 0.2× 53 0.7× 18 371
M. Taboada Spain 9 140 0.6× 168 1.2× 43 0.6× 46 0.6× 15 0.2× 27 446
Yoshija Walter Switzerland 7 112 0.5× 97 0.7× 71 0.9× 38 0.5× 10 0.1× 22 369
Maya Bialik 2 236 1.1× 156 1.1× 74 1.0× 43 0.6× 8 0.1× 3 474
Marzuki Marzuki Indonesia 8 161 0.7× 187 1.3× 159 2.1× 43 0.6× 13 0.2× 65 644

Countries citing papers authored by Yeonju Jang

Since Specialization
Citations

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

Fields of papers citing papers by Yeonju Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeonju Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Yeonju Jang. A scholar is included among the top collaborators of Yeonju Jang 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 Yeonju Jang. Yeonju Jang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Choi, Seongyune, Jaeho Jeon, & Yeonju Jang. (2025). Exploring teacher intention to teach AI: self-determination theory (SDT) and motivation-opportunity-ability (MOA) perspectives. Education and Information Technologies. 30(17). 24173–24200.
2.
Jang, Yeonju, et al.. (2024). Developing an AI literacy diagnostic tool for elementary school students. Education and Information Technologies. 30(1). 1013–1044. 5 indexed citations
3.
Hong, B., B. Moon, Yeonju Jang, et al.. (2023). Performance comparison of various electronics systems for fast-timing measurements using the KHALA LaBr3(Ce) detector array. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 540. 259–261. 2 indexed citations
4.
Choi, Seongyune, Yeonju Jang, & Hyeoncheol Kim. (2023). Exploring factors influencing students’ intention to use intelligent personal assistants for learning. Interactive Learning Environments. 32(8). 4049–4062. 9 indexed citations
5.
Moon, B., Yeonju Jang, B. Hong, et al.. (2023). New fast-timing γ-ray detection system in Korea: KHALA. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 541. 253–256. 2 indexed citations
6.
7.
Choi, Seongyune, Yeonju Jang, & Hyeoncheol Kim. (2022). Influence of Pedagogical Beliefs and Perceived Trust on Teachers’ Acceptance of Educational Artificial Intelligence Tools. International Journal of Human-Computer Interaction. 39(4). 910–922. 150 indexed citations breakdown →
8.
Jang, Yeonju, et al.. (2022). Correction to: Analyzing Teacher Competency with TPACK for K-12 AI Education. KI - Künstliche Intelligenz. 36(2). 187–187. 2 indexed citations
9.
Jang, Yeonju, et al.. (2022). Practical early prediction of students’ performance using machine learning and eXplainable AI. Education and Information Technologies. 27(9). 12855–12889. 48 indexed citations
10.
11.
Choi, Seongyune, Yeonju Jang, & Hyeoncheol Kim. (2022). A Deep Learning Approach to Imputation of Dynamic Pupil Size Data and Prediction of ADHD. International Journal of Artificial Intelligence Tools. 32(6). 5 indexed citations
12.
Jang, Yeonju, et al.. (2021). Analyzing Teacher Competency with TPACK for K-12 AI Education. KI - Künstliche Intelligenz. 35(2). 139–151. 61 indexed citations
13.
Kim, Woojin, et al.. (2021). Student Knowledge Prediction for Teacher-Student Interaction. Proceedings of the AAAI Conference on Artificial Intelligence. 35(17). 15560–15568. 6 indexed citations
14.
Jang, Yeonju, et al.. (2021). Why and What to Teach: AI Curriculum for Elementary School. Proceedings of the AAAI Conference on Artificial Intelligence. 35(17). 15569–15576. 63 indexed citations
15.
Shin, Namin & Yeonju Jang. (2015). Group Creativity Training for Children: Lessons Learned from Two Award‐Winning Teams. The Journal of Creative Behavior. 51(1). 5–19. 9 indexed citations
16.

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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