Shu‐Yun Chien
- Human-Computer Interaction top 1%
- Information Systems top 2%
- Education top 5%
- Developmental and Educational Psychology top 5%
- Artificial Intelligence top 10%
- Co-authors
- Gwo‐Jen HwangMorris Siu–Yung JongSurojit ChattopadhyayLi–Chyong ChenKuei‐Hsien ChenShao‐Chen ChangS. C. RayW. F. Pong
- Topics
- Virtual Reality Applications and Impacts (5 papers)Metal and Thin Film Mechanics (4 papers)Innovative Teaching and Learning Methods (3 papers)
In The Last Decade
Shu‐Yun Chien
15 papers receiving 861 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Human-Computer Interaction 336
- Information Systems 262
- Education 236
- Developmental and Educational Psychology 177
- Artificial Intelligence 96
Countries citing papers authored by Shu‐Yun Chien
This map shows the geographic impact of Shu‐Yun Chien'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 Shu‐Yun Chien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Yun Chien more than expected).
Fields of papers citing papers by Shu‐Yun Chien
This network shows the impact of papers produced by Shu‐Yun Chien. 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 Shu‐Yun Chien. The network helps show where Shu‐Yun Chien may publish in the future.
Co-authorship network of co-authors of Shu‐Yun Chien
This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Yun Chien. A scholar is included among the top collaborators of Shu‐Yun Chien 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 Shu‐Yun Chien. Shu‐Yun Chien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | Definition, roles, and potential research issues of the metaverse in education: An artificial intelligence perspectivebreakdown → | 396 |
| 6 | 52 | |
| 7 | 24 | |
| 8 | 31 | |
| 9 | 14 | |
| 10 | Effects of peer assessment within the context of spherical video-based virtual reality on EFL students’ English-Speaking performance and learning perceptionsbreakdown → | 285 |
| 11 | 2 | |
| 12 | 26 | |
| 13 | 23 | |
| 14 | 27 | |
| 15 | 15 | |
| 16 | 4 |
About Shu‐Yun Chien
Shu‐Yun Chien is a scholar working on Human-Computer Interaction, Computer Science Applications and Developmental and Educational Psychology, having authored 16 papers that have together received 913 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (5 papers), Metal and Thin Film Mechanics (4 papers) and Innovative Teaching and Learning Methods (3 papers). The work is most often cited by research in Human-Computer Interaction (336 citations), Computer Science Applications (93 citations) and Developmental and Educational Psychology (177 citations). Shu‐Yun Chien has collaborated with scholars based in Taiwan and Hong Kong. Frequent co-authors include Gwo‐Jen Hwang, Morris Siu–Yung Jong, Surojit Chattopadhyay, Li–Chyong Chen, Kuei‐Hsien Chen, Shao‐Chen Chang, S. C. Ray, W. F. Pong, H. M. Tsai and J. W. Chiou. Their work appears in journals such as Journal of Applied Physics, Computers & Education and Thin Solid Films.
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.