Jiayu Niu
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- Online Learning and Analytics 6
- Health Informatics top 5%
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- Innovative Teaching and Learning Methods 6
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- Knowledge Management and Sharing 2
- Education top 10%
- Online and Blended Learning 2
- Technology-Enhanced Education Studies 1
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- Education and Learning Interventions 2
- Software Engineering Techniques and Practices 1
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- 3D Surveying and Cultural Heritage 1
- Co-authors
- Lanqin ZhengLu ZhongShifeng Wang
- Journals
- British Journal of Educational Technology (2 papers)Journal of Computing in Higher Education (1 paper)Innovations in Education and Teaching International (1 paper)
- Partner nations
- China
In The Last Decade
Jiayu Niu
9 papers receiving 307 citations
Peers
Comparison fields: 5 of 51
- Computer Science Applications 194
- Health Informatics 35
- Developmental and Educational Psychology 165
- Communication 27
- Education 107
Countries citing papers authored by Jiayu Niu
This map shows the geographic impact of Jiayu Niu'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 Jiayu Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiayu Niu more than expected).
Fields of papers citing papers by Jiayu Niu
This network shows the impact of papers produced by Jiayu Niu. 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 Jiayu Niu. The network helps show where Jiayu Niu may publish in the future.
Co-authorship network
The 3 scholars most cited alongside Jiayu Niu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 45 | |
| 2 | 2022 | 28 | |
| 3 | 2022 | 22 | |
| 4 | 2021 | 11 | |
| 5 | Effects of Personalized Intervention on Collaborative Knowledge Building, Group Performance, Socially Shared Metacognitive Regulation, and Cognitive Load in Computer-Supported Collaborative Learning | 2021 | 36 |
| 6 | 2021 | 45 | |
| 7 | 2021 | 46 | |
| 8 | 2021 | 97 | |
| 9 | 2021 | 2 |
About Jiayu Niu
Jiayu Niu is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Communication, Geology and Information Systems, having authored 9 papers that have together received 332 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (6 papers), Online Learning and Analytics (6 papers), Knowledge Management and Sharing (2 papers), Education and Learning Interventions (2 papers), Online and Blended Learning (2 papers), Software Engineering Techniques and Practices (1 paper), 3D Surveying and Cultural Heritage (1 paper) and Technology-Enhanced Education Studies (1 paper). The work is most often cited by research in Computer Science Applications (194 citations), Health Informatics (35 citations), Developmental and Educational Psychology (165 citations), Communication (27 citations) and Education (107 citations). Jiayu Niu has collaborated with scholars based in China. Frequent co-authors include Lanqin Zheng, Lu Zhong and Shifeng Wang. Their work appears in journals such as British Journal of Educational Technology, Journal of Computing in Higher Education, Innovations in Education and Teaching International, Journal of Russian Laser Research and International Journal of Computer-Supported Collaborative Learning.
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.