Shengquan Yu
- Education top 5%
- Information Systems top 5%
- Computer Science Applications top 1%
- Developmental and Educational Psychology top 5%
- Artificial Intelligence top 10%
- Topics
- Innovative Teaching and Learning Methods (19 papers)Online Learning and Analytics (18 papers)Online and Blended Learning (15 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Shengquan Yu
66 papers receiving 785 citations
Peers
Comparison fields: 5 of 125
- Education 291
- Information Systems 255
- Computer Science Applications 236
- Developmental and Educational Psychology 185
- Artificial Intelligence 151
Countries citing papers authored by Shengquan Yu
This map shows the geographic impact of Shengquan Yu'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 Shengquan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengquan Yu more than expected).
Fields of papers citing papers by Shengquan Yu
This network shows the impact of papers produced by Shengquan Yu. 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 Shengquan Yu. The network helps show where Shengquan Yu may publish in the future.
Co-authorship network of co-authors of Shengquan Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Shengquan Yu. A scholar is included among the top collaborators of Shengquan Yu 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 Shengquan Yu. Shengquan Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | Using a Learner-Topic Model for Mining Learner Interests in Open Learning Environments. | 10 |
| 11 | Can Students Identify the Relevant Information to Solve a Problem | 6 |
| 12 | Behavioral and Relationship Patterns in an Online Collaborative Reading Activity. | 3 |
| 13 | 4 | |
| 14 | Designing a Resource Evolution Support System for Open Knowledge Communities. | 5 |
| 15 | E-learning in school education in the coming 10 years for developing 21st century skills: Critical research issues and policy implications | 64 |
| 16 | A Study of the Tablet Computer's Application in K-12 Schools in China. | 5 |
| 17 | The Effect of Primary Chinese Teachers’ Collaborative Lesson Planning Supported by the Learning-Cell system——Based on the Method of Content Analysis | 1 |
| 18 | From Learning Object to Learning Cell: A Resource Organization Model for Ubiquitous Learning. | 36 |
| 19 | 19 | |
| 20 | Introduction to Process Traces. | 1 |
About Shengquan Yu
Shengquan Yu is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Communication, having authored 71 papers that have together received 833 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (19 papers), Online Learning and Analytics (18 papers) and Online and Blended Learning (15 papers). The work is most often cited by research in Computer Science Applications (236 citations), Developmental and Educational Psychology (185 citations) and Information Systems (255 citations). Shengquan Yu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xianmin Yang, Yu Lu, Jingjing Cui, Feng‐Kuang Chiang, Minjuan Wang, Lishan Zhang, Xi Yang, Penghe Chen, Fuzhen Zhuang and Minhong Wang. Their work appears in journals such as Scientific Reports, Applied Energy and Computers & Education.
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.