Sein Minn

419 total citations
5 papers, 197 citations indexed

About

Sein Minn is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Sein Minn has authored 5 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Science Applications and 1 paper in Information Systems. Recurrent topics in Sein Minn's work include Online Learning and Analytics (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Innovative Teaching and Learning Methods (1 paper). Sein Minn is often cited by papers focused on Online Learning and Analytics (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Innovative Teaching and Learning Methods (1 paper). Sein Minn collaborates with scholars based in Singapore, Canada and France. Sein Minn's co-authors include Feida Zhu, Michel C. Desmarais, Jill-Jênn Vie, Yi Yu, Koh Takeuchi and Hisashi Kashima and has published in prestigious journals such as Computers and Education Artificial Intelligence, PolyPublie (École Polytechnique de Montréal) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Sein Minn

5 papers receiving 191 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sein Minn Singapore 4 141 124 37 37 12 5 197
Ramteja Sajja United States 5 75 0.5× 70 0.6× 31 0.8× 23 0.6× 19 1.6× 10 196
Nisha S. Raj India 7 95 0.7× 140 1.1× 94 2.5× 61 1.6× 32 2.7× 16 238
Xinying Hou United States 6 52 0.4× 69 0.6× 24 0.6× 46 1.2× 24 2.0× 8 136
Alfred Essa United States 7 68 0.5× 195 1.6× 34 0.9× 31 0.8× 62 5.2× 17 236
Josh Gardner United States 6 81 0.6× 87 0.7× 15 0.4× 13 0.4× 18 1.5× 13 148
Tongguang Li Australia 7 96 0.7× 86 0.7× 26 0.7× 59 1.6× 53 4.4× 14 207
Suresh Kumar Sanampudi India 4 173 1.2× 50 0.4× 52 1.4× 19 0.5× 34 2.8× 12 244
Tam Tran China 1 40 0.3× 66 0.5× 27 0.7× 17 0.5× 20 1.7× 3 153
Krenare Pireva Kosovo 4 96 0.7× 46 0.4× 35 0.9× 15 0.4× 32 2.7× 9 178
Muhammad Ali Chaudhry United Kingdom 3 60 0.4× 82 0.7× 32 0.9× 14 0.4× 30 2.5× 6 176

Countries citing papers authored by Sein Minn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sein Minn

This figure shows the co-authorship network connecting the top 25 collaborators of Sein Minn. A scholar is included among the top collaborators of Sein Minn 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 Sein Minn. Sein Minn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Minn, Sein, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, & Feida Zhu. (2022). Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. Proceedings of the AAAI Conference on Artificial Intelligence. 36(11). 12810–12818. 21 indexed citations
2.
Minn, Sein. (2022). AI-assisted knowledge assessment techniques for adaptive learning environments. Computers and Education Artificial Intelligence. 3. 100050–100050. 78 indexed citations
3.
Minn, Sein, Yi Yu, Michel C. Desmarais, Feida Zhu, & Jill-Jênn Vie. (2018). Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing. PolyPublie (École Polytechnique de Montréal). 1182–1187. 78 indexed citations
4.
Minn, Sein, Feida Zhu, & Michel C. Desmarais. (2018). Improving Knowledge Tracing Model by Integrating Problem Difficulty. PolyPublie (École Polytechnique de Montréal). 1505–1506. 17 indexed citations
5.
Minn, Sein, et al.. (2014). Efficient learning of general Bayesian network Classifier by Local and Adaptive Search. PolyPublie (École Polytechnique de Montréal). 385–391. 3 indexed citations

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.

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