Hsin‐Yi Chang

4.9k total citations · 2 hit papers
68 papers, 3.2k citations indexed

About

Hsin‐Yi Chang is a scholar working on Developmental and Educational Psychology, Education and Experimental and Cognitive Psychology. According to data from OpenAlex, Hsin‐Yi Chang has authored 68 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Developmental and Educational Psychology, 29 papers in Education and 13 papers in Experimental and Cognitive Psychology. Recurrent topics in Hsin‐Yi Chang's work include Innovative Teaching and Learning Methods (26 papers), Science Education and Pedagogy (17 papers) and Educational Strategies and Epistemologies (10 papers). Hsin‐Yi Chang is often cited by papers focused on Innovative Teaching and Learning Methods (26 papers), Science Education and Pedagogy (17 papers) and Educational Strategies and Epistemologies (10 papers). Hsin‐Yi Chang collaborates with scholars based in Taiwan, United States and Singapore. Hsin‐Yi Chang's co-authors include Hsin‐Kai Wu, Jyh‐Chong Liang, Silvia Wen‐Yu Lee, Chin‐Chung Tsai, Ying‐Shao Hsu, Marcia C. Linn, Theerapong Binali, C. J. Altstetter, R. S. Averback and Guo‐Li Chiou and has published in prestigious journals such as Computers in Human Behavior, Materials Science and Engineering A and Computers & Education.

In The Last Decade

Hsin‐Yi Chang

65 papers receiving 3.0k citations

Hit Papers

Current status, opportunities and challenges of augmented... 2012 2026 2016 2021 2012 2022 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsin‐Yi Chang Taiwan 22 1.4k 901 883 875 855 68 3.2k
Kuo‐En Chang Taiwan 25 567 0.4× 400 0.4× 1.3k 1.5× 1.4k 1.6× 995 1.2× 94 3.4k
Hai‐Ning Liang China 31 927 0.7× 1.8k 2.0× 289 0.3× 147 0.2× 346 0.4× 263 3.1k
Paulo Blikstein United States 30 199 0.1× 543 0.6× 507 0.6× 706 0.8× 1.0k 1.2× 177 3.3k
Chris Dede United States 38 1.6k 1.2× 1.9k 2.1× 1.6k 1.8× 2.8k 3.2× 2.6k 3.1× 143 7.1k
Huei‐Tse Hou Taiwan 34 767 0.6× 642 0.7× 870 1.0× 1.6k 1.8× 2.0k 2.4× 144 4.1k
Wu‐Yuin Hwang Taiwan 32 186 0.1× 261 0.3× 1.3k 1.5× 1.6k 1.8× 1.2k 1.4× 194 3.7k
Yao‐Ting Sung Taiwan 25 608 0.4× 439 0.5× 1.4k 1.6× 1.5k 1.7× 1.0k 1.2× 87 3.4k
Ronald M. Baecker Canada 28 688 0.5× 1.5k 1.7× 725 0.8× 118 0.1× 378 0.4× 95 3.8k
Matt Jones United Kingdom 31 468 0.3× 1.3k 1.5× 835 0.9× 154 0.2× 264 0.3× 199 3.6k
Sabine Graf Canada 27 683 0.5× 411 0.5× 911 1.0× 805 0.9× 1.6k 1.8× 107 3.3k

Countries citing papers authored by Hsin‐Yi Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hsin‐Yi Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin‐Yi Chang. 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 Hsin‐Yi Chang. The network helps show where Hsin‐Yi Chang may publish in the future.

Co-authorship network of co-authors of Hsin‐Yi Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Hsin‐Yi Chang. A scholar is included among the top collaborators of Hsin‐Yi Chang 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 Hsin‐Yi Chang. Hsin‐Yi Chang 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.
Chang, Hsin‐Yi. (2025). Investigating the Relation Between Peer Critiquing and Model Revisions in Modeling‐Based Learning. Science Education. 110(2). 599–616.
2.
Chang, Hsin‐Yi, et al.. (2024). Strategies and difficulties during students’ construction of data visualizations. International Journal of STEM Education. 11(1). 7 indexed citations
3.
Chang, Hsin‐Yi, et al.. (2024). Combining Natural Language Processing with Epistemic Network Analysis to Investigate Student Knowledge Integration within an AI Dialog. Journal of Science Education and Technology. 34(5). 980–993. 1 indexed citations
4.
Chang, Hsin‐Yi, et al.. (2024). Using Artificial Intelligence to Support Peer-to-Peer Discussions in Science Classrooms. Education Sciences. 14(12). 1411–1411. 1 indexed citations
5.
Chang, Hsin‐Yi & Chin‐Chung Tsai. (2023). Epistemic Network Analysis of Students’ Drawings to Investigate Their Conceptions of Science Learning with Technology. Journal of Science Education and Technology. 18 indexed citations
8.
Chang, Hsin‐Yi, Theerapong Binali, Jyh‐Chong Liang, et al.. (2022). Ten years of augmented reality in education: A meta-analysis of (quasi-) experimental studies to investigate the impact. Computers & Education. 191. 104641–104641. 134 indexed citations breakdown →
9.
Chang, Hsin‐Yi, et al.. (2022). Developing an instrument for metavisualization and investigating relationships among dimensions of metavisualization. Research in Science & Technological Education. 42(3). 747–767. 1 indexed citations
10.
Lee, Silvia Wen‐Yu, Hsin‐Kai Wu, & Hsin‐Yi Chang. (2021). Examining secondary school students’ views of model evaluation through an integrated framework of personal epistemology. Instructional Science. 49(2). 223–248. 2 indexed citations
11.
Chang, Hsin‐Yi, Jyh‐Chong Liang, & Chin‐Chung Tsai. (2020). Students’ Context-Specific Epistemic Justifications, Prior Knowledge, Engagement, and Socioscientific Reasoning in a Mobile Augmented Reality Learning Environment. Journal of Science Education and Technology. 29(3). 399–408. 34 indexed citations
12.
Ma, Yi‐Wei, et al.. (2016). GreenIoT Architecture for Internet of Things Applications. KSII Transactions on Internet and Information Systems. 10(2). 444–461. 2 indexed citations
13.
Chang, Hsin‐Yi & Marcia C. Linn. (2013). Scaffolding learning from molecular visualizations. Journal of Research in Science Teaching. 50(7). 858–886. 71 indexed citations
14.
Chang, Hsin‐Yi, et al.. (2012). Scaffolding Students’ Online Critiquing of Expert- and Peer-generated Molecular Models of Chemical Reactions. International Journal of Science Education. 35(12). 2028–2056. 13 indexed citations
15.
Chang, Hsin‐Yi. (2012). Teacher guidance to mediate student inquiry through interactive dynamic visualizations. Instructional Science. 41(5). 895–920. 12 indexed citations
16.
Chang, Hsin‐Yi, et al.. (2010). Treatment of a severely ankylosed central incisor and a missing lateral incisor by distraction osteogenesis and orthodontic treatment. American Journal of Orthodontics and Dentofacial Orthopedics. 138(6). 829–838. 17 indexed citations
17.
Linn, Marcia C., Chris Quintana, Hsin‐Yi Chang, et al.. (2008). Improving the design and impact of interactive, dynamic visualizations for science learning. International Conference of Learning Sciences. 221–228. 4 indexed citations
18.
Tao, Yu‐Hui, Yu-Lung Wu, & Hsin‐Yi Chang. (2008). A Practical Computer Adaptive Testing Model for Small-Scale Scenarios. Educational Technology & Society. 11(3). 259–274. 8 indexed citations
19.
Chang, Hsin‐Yi. (2007). Multilevel-multifaceted approach to assessing the impact of technology -mediated modeling practice on student understanding of the particulate nature of matter.. Deep Blue (University of Michigan). 1 indexed citations
20.
Chang, Hsin‐Yi & Chris Quintana. (2006). Student-generated animations: supporting middle school students' visualization, interpretation and reasoning of chemical phenomena. International Conference of Learning Sciences. 71–77. 12 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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