Mai Neo

40 papers and 342 indexed citations i.

About

Mai Neo is a scholar working on Education, Developmental and Educational Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mai Neo has authored 40 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Education, 21 papers in Developmental and Educational Psychology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mai Neo’s work include Online and Blended Learning (24 papers), Innovative Teaching and Learning Methods (20 papers) and Problem and Project Based Learning (7 papers). Mai Neo is often cited by papers focused on Online and Blended Learning (24 papers), Innovative Teaching and Learning Methods (20 papers) and Problem and Project Based Learning (7 papers). Mai Neo collaborates with scholars based in Malaysia, Saudi Arabia and China. Mai Neo's co-authors include Tse‐Kian Neo, Chin Poo Lee, Kian Ming Lim, Fui-Theng Leow, Ji-Young Oh and Ali Alqahtani and has published in prestigious journals such as IEEE Access, Pattern Recognition Letters and Journal of Computer Assisted Learning.

In The Last Decade

Co-authorship network of co-authors of Mai Neo i

Fields of papers citing papers by Mai Neo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mai Neo. 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 Mai Neo. The network helps show where Mai Neo may publish in the future.

Countries citing papers authored by Mai Neo

Since Specialization
Citations

This map shows the geographic impact of Mai Neo'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 Mai Neo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mai Neo more than expected).

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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2025