Hsin‐Chin Chen
- Developmental and Educational Psychology top 5%
- Cognitive Neuroscience top 10%
- Education top 10%
- Experimental and Cognitive Psychology top 10%
- Sociology and Political Science
- Co-authors
- Jyotsna VaidYueh‐Min HuangJei-Tun WuShu-Hsien HuangYi-Wen LiaoYueh Min HuangZohreh R. EslamiTakashi Yamauchi
- Topics
- Reading and Literacy Development (9 papers)Neurobiology of Language and Bilingualism (8 papers)Online Learning and Analytics (5 papers)
- Cited by
- Developmental and Educational PsychologyInformation Systems and ManagementComputer Science Applications
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Hsin‐Chin Chen
34 papers receiving 562 citations
Peers
Comparison fields: 5 of 84
- Developmental and Educational Psychology 204
- Cognitive Neuroscience 168
- Education 130
- Experimental and Cognitive Psychology 96
- Sociology and Political Science 92
Countries citing papers authored by Hsin‐Chin Chen
This map shows the geographic impact of Hsin‐Chin Chen'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‐Chin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin‐Chin Chen more than expected).
Fields of papers citing papers by Hsin‐Chin Chen
This network shows the impact of papers produced by Hsin‐Chin Chen. 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‐Chin Chen. The network helps show where Hsin‐Chin Chen may publish in the future.
Co-authorship network of co-authors of Hsin‐Chin Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Hsin‐Chin Chen. A scholar is included among the top collaborators of Hsin‐Chin Chen 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‐Chin Chen. Hsin‐Chin Chen 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 | 3 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | The acceptance of using an annotation approach on Tablet PC-based e-book in a mechanical engineering course | 0 |
| 6 | 10 | |
| 7 | A Jigsaw-Based Cooperative Learning Approach to Improve Learning Outcomes for Mobile Situated Learning | 72 |
| 8 | 61 | |
| 9 | 6 | |
| 10 | 39 | |
| 11 | 25 | |
| 12 | 6 | |
| 13 | 10 | |
| 14 | 10 | |
| 15 | 41 | |
| 16 | 18 | |
| 17 | 30 | |
| 18 | 8 | |
| 19 | 15 | |
| 20 | 12 |
About Hsin‐Chin Chen
Hsin‐Chin Chen is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Cognitive Neuroscience, having authored 37 papers that have together received 610 indexed citations. Recurring topics across this work include Reading and Literacy Development (9 papers), Neurobiology of Language and Bilingualism (8 papers) and Online Learning and Analytics (5 papers). The work is most often cited by research in Developmental and Educational Psychology (204 citations), Information Systems and Management (67 citations) and Computer Science Applications (48 citations). Hsin‐Chin Chen has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Jyotsna Vaid, Yueh‐Min Huang, Jei-Tun Wu, Shu-Hsien Huang, Yi-Wen Liao, Yueh Min Huang, Zohreh R. Eslami, Takashi Yamauchi, Narayanan Srinivasan and Katsuo Tamaoka. Their work appears in journals such as NeuroImage, Computers in Human Behavior and Experimental Brain Research.
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.