Choo‐Yee Ting

33 papers and 239 indexed citations i.

About

Choo‐Yee Ting is a scholar working on Artificial Intelligence, Computer Science Applications and Modeling and Simulation. According to data from OpenAlex, Choo‐Yee Ting has authored 33 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Science Applications and 6 papers in Modeling and Simulation. Recurrent topics in Choo‐Yee Ting’s work include Online Learning and Analytics (8 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and COVID-19 epidemiological studies (6 papers). Choo‐Yee Ting is often cited by papers focused on Online Learning and Analytics (8 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and COVID-19 epidemiological studies (6 papers). Choo‐Yee Ting collaborates with scholars based in Malaysia and Singapore. Choo‐Yee Ting's co-authors include Somnuk Phon-Amnuaisuk, Khairil Imran Ghauth, Timothy William, Chee-Onn Wong, Adeeba Kamarulzaman, Alvin Kuo Jing Teo, Fadzilah Kamaludin, Yuen Peng Loh, Michelle Chan and Lai-Kuan Wong and has published in prestigious journals such as Computers & Education, IEEE Access and British Journal of Educational Technology.

In The Last Decade

Co-authorship network of co-authors of Choo‐Yee Ting i

Fields of papers citing papers by Choo‐Yee Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Choo‐Yee Ting. 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 Choo‐Yee Ting. The network helps show where Choo‐Yee Ting may publish in the future.

Countries citing papers authored by Choo‐Yee Ting

Since Specialization
Citations

This map shows the geographic impact of Choo‐Yee Ting'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 Choo‐Yee Ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Choo‐Yee Ting 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