Mihye Won

957 total citations
38 papers, 521 citations indexed

About

Mihye Won is a scholar working on Education, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Mihye Won has authored 38 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Education, 20 papers in Developmental and Educational Psychology and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Mihye Won's work include Science Education and Pedagogy (21 papers), Educational Strategies and Epistemologies (9 papers) and Visual and Cognitive Learning Processes (8 papers). Mihye Won is often cited by papers focused on Science Education and Pedagogy (21 papers), Educational Strategies and Epistemologies (9 papers) and Visual and Cognitive Learning Processes (8 papers). Mihye Won collaborates with scholars based in Australia, Taiwan and Singapore. Mihye Won's co-authors include David F. Treagust, Kok‐Sing Tang, Mauro Mocerino, Henry Matovu, Roy Tasker, Chin‐Chung Tsai, Felicity McLure, A. L. Chandrasegaran, Edy Hafizan Mohd Shahali and Lilia Halim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and Australasian Journal of Paramedicine.

In The Last Decade

Mihye Won

35 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mihye Won Australia 13 287 204 115 74 55 38 521
Carina Girvan Ireland 8 253 0.9× 157 0.8× 138 1.2× 29 0.4× 80 1.5× 21 527
Ecenaz Alemdağ Türkiye 9 195 0.7× 127 0.6× 123 1.1× 170 2.3× 67 1.2× 14 510
Jonah B. Firestone United States 10 252 0.9× 269 1.3× 63 0.5× 43 0.6× 50 0.9× 23 559
Yu‐Ta Chien Taiwan 8 248 0.9× 106 0.5× 49 0.4× 68 0.9× 91 1.7× 13 393
Lu‐Ho Hsia Taiwan 13 338 1.2× 188 0.9× 37 0.3× 75 1.0× 133 2.4× 20 634
Julian Chen Australia 12 212 0.7× 156 0.8× 136 1.2× 28 0.4× 120 2.2× 39 520
Hung‐chun Wang Taiwan 10 183 0.6× 94 0.5× 63 0.5× 70 0.9× 135 2.5× 17 441
Tomoko Traphagan United States 8 461 1.6× 252 1.2× 240 2.1× 45 0.6× 69 1.3× 12 796
Johanna Pöysä‐Tarhonen Finland 11 275 1.0× 192 0.9× 53 0.5× 25 0.3× 98 1.8× 29 478
Chen Chung Liu Taiwan 9 172 0.6× 162 0.8× 39 0.3× 40 0.5× 88 1.6× 14 435

Countries citing papers authored by Mihye Won

Since Specialization
Citations

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

Fields of papers citing papers by Mihye Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mihye Won

This figure shows the co-authorship network connecting the top 25 collaborators of Mihye Won. A scholar is included among the top collaborators of Mihye Won 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 Mihye Won. Mihye Won 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.
Treagust, David F., et al.. (2025). Conceptions of Curved Spacetime: Relating Students’ Mental Representations and Understanding of General Relativity. Research in Science Education. 56(1). 85–115. 1 indexed citations
2.
Won, Mihye, et al.. (2024). Visualising relativity: assessing high school students’ understanding of complex physics concepts through AI-generated images. Physics Education. 59(2). 25018–25018. 3 indexed citations
4.
Tang, Kok‐Sing, et al.. (2024). How students develop collaborative drawing to represent the transmission of sound: An analysis of explanatory scientific drawings with discourse maps. Journal of the Learning Sciences. 33(1). 125–174. 2 indexed citations
5.
Matovu, Henry, Mihye Won, David F. Treagust, et al.. (2024). The Perceived Complexity of Learning Tasks Influences Students’ Collaborative Interactions in Immersive Virtual Reality. Journal of Science Education and Technology. 33(4). 542–555. 5 indexed citations
6.
McLure, Felicity, Mihye Won, & David F. Treagust. (2023). The productive interplay between student-student and teacher-student dialogic interactions and the affordances of student generated explanatory drawings to understand plate tectonics. International Journal of Science Education. 45(18). 1552–1570.
7.
Won, Mihye, David F. Treagust, Mauro Mocerino, et al.. (2023). Students’ Use of Magnetic Models to Learn Hydrogen Bonding and the Formation of Snowflakes. Journal of Chemical Education. 100(7). 2504–2519. 5 indexed citations
8.
Matovu, Henry, Mihye Won, David F. Treagust, et al.. (2022). Change in students’ explanation of the shape of snowflakes after collaborative immersive virtual reality. Chemistry Education Research and Practice. 24(2). 509–525. 7 indexed citations
9.
Matovu, Henry, et al.. (2021). WALKING INTO A PROTEIN MOLECULE TOGETHER: UNIVERSITY STUDENTS’ EXPLORATION OF AN ENZYME-SUBSTRATE INTERACTION IN IMMERSIVE VIRTUAL REALITY. 39. 1 indexed citations
10.
McLure, Felicity, Mihye Won, & David F. Treagust. (2021). Analysis of Students’ Diagrams Explaining Scientific Phenomena. Research in Science Education. 52(4). 1225–1241. 15 indexed citations
11.
Tang, Kok‐Sing, et al.. (2020). The features of norms formed in constructing student-generated drawings to explain physics phenomena. International Journal of Science Education. 42(8). 1362–1387. 5 indexed citations
12.
Tang, Kok‐Sing, et al.. (2020). Sequential patterns of students’ drawing in constructing scientific explanations: focusing on the interplay among three levels of pictorial representation. International Journal of Science Education. 42(5). 677–702. 19 indexed citations
13.
McLure, Felicity, Mihye Won, & David F. Treagust. (2020). Teaching thermal physics to Year 9 students: the thinking frames approach. Physics Education. 55(3). 35007–35007. 4 indexed citations
15.
Tang, Kok‐Sing, Mihye Won, & David F. Treagust. (2019). Analytical framework for student-generated drawings. International Journal of Science Education. 41(16). 2296–2322. 43 indexed citations
16.
Treagust, David F., et al.. (2016). A case for enhancing environmental education programs in schools: Reflecting on primary school students’ knowledge and attitudes. The International Journal of Environmental and Science Education. 11(12). 5591–5612. 15 indexed citations
17.
Treagust, David F., et al.. (2016). An action research in science: Providing metacognitive support to year 9 students. The International Journal of Environmental and Science Education. 11(12). 5376–5395. 2 indexed citations
18.
Won, Mihye, et al.. (2013). Teachers’ Perceptions on the Changes in the Curriculum and Exit Examinations for Biology and Human Biology. ˜The œAustralian journal of teacher education. 38(3). 12 indexed citations
19.
Bishop, Ann Peterson, Bertram C. Bruce, Karen J. Lunsford, et al.. (2004). Supporting Community Inquiry with Digital Resources. Texas Digital Library (University of Texas). 5(3). 15 indexed citations
20.
Bruce, Bertram C., Ann Peterson Bishop, P. Bryan Heidorn, et al.. (2003). The Inquiry Page: Bringing Digital Libraries to Learners. Knowledge quest. 31(3). 15–17. 1 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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