Belle Dang

1.3k total citations · 2 hit papers
19 papers, 579 citations indexed

About

Belle Dang is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Information Systems. According to data from OpenAlex, Belle Dang has authored 19 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Science Applications, 8 papers in Developmental and Educational Psychology and 7 papers in Information Systems. Recurrent topics in Belle Dang's work include Online Learning and Analytics (11 papers), Innovative Teaching and Learning Methods (7 papers) and Virtual Reality Applications and Impacts (3 papers). Belle Dang is often cited by papers focused on Online Learning and Analytics (11 papers), Innovative Teaching and Learning Methods (7 papers) and Virtual Reality Applications and Impacts (3 papers). Belle Dang collaborates with scholars based in Finland, New Zealand and Vietnam. Belle Dang's co-authors include Andy Nguyen, Yvonne Hong, Bich‐Phuong Thi Nguyen, Ha Ngan Ngo, Xiaoshan Huang, Sanna Järvelä, Carolyn Penstein Rosé, Márta Sobocinski, Justin Edwards and Joni Lämsä and has published in prestigious journals such as SHILAP Revista de lepidopterología, Studies in Higher Education and British Journal of Educational Technology.

In The Last Decade

Belle Dang

16 papers receiving 539 citations

Hit Papers

Ethical principles for artificial intelligence in education 2022 2026 2023 2024 2022 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Belle Dang Finland 7 239 191 134 124 84 19 579
Yvonne Hong New Zealand 6 236 1.0× 188 1.0× 133 1.0× 115 0.9× 104 1.2× 14 579
Bich‐Phuong Thi Nguyen Vietnam 6 180 0.8× 142 0.7× 103 0.8× 96 0.8× 69 0.8× 12 470
Ha Ngan Ngo New Zealand 3 178 0.7× 138 0.7× 99 0.7× 93 0.8× 66 0.8× 4 418
M. Elena Rodríguez Spain 11 365 1.5× 214 1.1× 88 0.7× 138 1.1× 124 1.5× 41 670
Yueqiao Jin Australia 7 161 0.7× 195 1.0× 118 0.9× 56 0.5× 52 0.6× 15 472
Ken Holstein United States 3 182 0.8× 154 0.8× 114 0.9× 80 0.6× 59 0.7× 4 460
Marzuki Marzuki Indonesia 8 161 0.7× 187 1.0× 159 1.2× 135 1.1× 202 2.4× 65 644
Seongyune Choi South Korea 7 248 1.0× 191 1.0× 95 0.7× 76 0.6× 74 0.9× 14 511
Selin Akgün United States 6 233 1.0× 172 0.9× 132 1.0× 98 0.8× 238 2.8× 7 674
Ayşe Aslan United Kingdom 4 163 0.7× 136 0.7× 87 0.6× 91 0.7× 66 0.8× 14 414

Countries citing papers authored by Belle Dang

Since Specialization
Citations

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

Fields of papers citing papers by Belle Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Belle Dang

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

All Works

19 of 19 papers shown
1.
Dang, Belle, et al.. (2025). Preparing preservice teachers for generative AI in lesson planning: a process mining study of AI mindset and tool-only training. Journal of Digital Learning in Teacher Education. 42(1). 16–32.
2.
Nguyen, Andy, et al.. (2025). Conceptualizing and enhancing metaverse literacy for education. Education and Information Technologies. 30(12). 17133–17153. 1 indexed citations
3.
Nguyen, Andy, et al.. (2025). Guidelines for learning design and assessment for generative artificial intelligence-integrated education: a unified view. Information and Learning Sciences. 126(7-8). 491–512. 2 indexed citations
4.
Edwards, Justin, Andy Nguyen, Joni Lämsä, et al.. (2025). A Wizard of Oz methodology for designing future learning spaces. Higher Education Research & Development. 44(1). 147–162.
5.
Dang, Belle, et al.. (2025). Human– AI collaborative learning in mixed reality: Examining the cognitive and socio‐emotional interactions. British Journal of Educational Technology. 56(5). 2078–2101. 4 indexed citations
6.
Nguyen, Andy, et al.. (2025). Designing embodied generative artificial intelligence in mixed reality for active learning in higher education. Innovations in Education and Teaching International. 62(5). 1632–1647. 2 indexed citations
7.
Nguyen, Andy, et al.. (2025). Generative Artificial Intelligence (AI) in education: from organizing visions to official guidelines. Information Technology and People. 38(8). 172–199.
8.
Nguyen, Andy, Yvonne Hong, Belle Dang, & Xiaoshan Huang. (2024). Human-AI collaboration patterns in AI-assisted academic writing. Studies in Higher Education. 49(5). 847–864. 107 indexed citations breakdown →
9.
Nguyen, Andy, et al.. (2024). Facial Expression Recognition for Examining Emotional Regulation in Synchronous Online Collaborative Learning. International Journal of Artificial Intelligence in Education. 34(3). 650–669. 9 indexed citations
10.
Dang, Belle, Andy Nguyen, & Sanna Järvelä. (2024). Deliberative Interactions for Socially Shared Regulation in Collaborative Learning. Journal of Learning Analytics. 11(3). 192–209. 2 indexed citations
11.
Dang, Belle, et al.. (2024). Digital transformation in Vietnamese higher education: an epistemic network analysis of policy documents. SHILAP Revista de lepidopterología. 27(2). 138–156. 3 indexed citations
12.
Edwards, Justin, Andy Nguyen, Joni Lämsä, et al.. (2024). Human‐ AI collaboration: Designing artificial agents to facilitate socially shared regulation among learners. British Journal of Educational Technology. 56(2). 712–733. 8 indexed citations
13.
Edwards, Justin, Andy Nguyen, Márta Sobocinski, et al.. (2024). MAI - A Proactive Speech Agent for Metacognitive Mediation in Collaborative Learning. University of Twente Research Information. 1–5. 4 indexed citations
15.
Dang, Belle, et al.. (2023). Revealing the Hidden Structure of Affective States During Emotion Regulation in Synchronous Online Collaborative Learning. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations
16.
Dang, Belle, et al.. (2023). How Do Students Deliberate for Socially Shared Regulation in Collaborative Learning? A Process-Oriented Approach. Computer-supported collaborative learning/˜The œComputer-Supported Collaborative Learning Conference. 59–66. 7 indexed citations
17.
Dang, Belle, Andy Nguyen, & Sanna Järvelä. (2023). Clustering Deliberation Sequences Through Regulatory Triggers in Collaborative Learning. 3 indexed citations
18.
Nguyen, Andy, Ha Ngan Ngo, Yvonne Hong, Belle Dang, & Bich‐Phuong Thi Nguyen. (2022). Ethical principles for artificial intelligence in education. Education and Information Technologies. 28(4). 4221–4241. 411 indexed citations breakdown →
19.
Hong, Yvonne, Andy Nguyen, Belle Dang, & Bich‐Phuong Thi Nguyen. (2022). Data Ethics Framework for Artificial Intelligence in Education (AIED). 297–301. 8 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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