Sein Minn
Impact in
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- Online Learning and Analytics
Papers in
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- Intelligent Tutoring Systems and Adaptive Learning 4
- Bayesian Modeling and Causal Inference 2
- AI-based Problem Solving and Planning 1
- Text and Document Classification Technologies 1
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- Online Learning and Analytics 4
- Co-authors
- Feida Zhu (3 shared papers)Michel C. Desmarais (3 shared papers)Jill-Jênn Vie (2 shared papers)Yi Yu (1 shared paper)Koh Takeuchi (1 shared paper)Hisashi Kashima (1 shared paper)
- Journals
- Computers and Education Artificial Intelligence (1 paper)Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)PolyPublie (École Polytechnique de Montréal) (2 papers)
In The Last Decade
Sein Minn
5 papers receiving 201 citations
Peers
Comparison fields: 5 of 37
- Computer Science Applications 127
- Health Informatics 9
- Artificial Intelligence 145
- Developmental and Educational Psychology 40
- Information Systems 38
Countries citing papers authored by Sein Minn
This map shows the geographic impact of Sein Minn'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 Sein Minn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sein Minn more than expected).
Fields of papers citing papers by Sein Minn
This network shows the impact of papers produced by Sein Minn. 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 Sein Minn. The network helps show where Sein Minn may publish in the future.
Co-authors
The 6 scholars most cited alongside Sein Minn, 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 | 2022 | 83 | |
| 2 | 2018 | 80 | |
| 3 | 2022 | 23 | |
| 4 | 2018 | 17 | |
| 5 | 2014 | 4 | |
| 6 | 2023 | 0 |
About Sein Minn
Sein Minn is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Computational Theory and Mathematics and Management Science and Operations Research, having authored 6 papers that have together received 207 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (4 papers), Online Learning and Analytics (4 papers), Bayesian Modeling and Causal Inference (2 papers), Educational Technology and Assessment (1 paper), AI-based Problem Solving and Planning (1 paper), Innovative Teaching and Learning Methods (1 paper), Text and Document Classification Technologies (1 paper) and Rough Sets and Fuzzy Logic (1 paper). The work is most often cited by research in Computer Science Applications (127 citations), Health Informatics (9 citations), Artificial Intelligence (145 citations), Developmental and Educational Psychology (40 citations) and Information Systems (38 citations). Sein Minn has collaborated with scholars based in Singapore, Canada and Japan. Frequent co-authors include Feida Zhu, Michel C. Desmarais, Jill-Jênn Vie, Yi Yu, Koh Takeuchi and Hisashi Kashima. Their work appears in journals such as Computers and Education Artificial Intelligence, Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University), Proceedings of the AAAI Conference on Artificial Intelligence and PolyPublie (École Polytechnique de Montréal).
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.