Meng-Leong How

709 total citations
16 papers, 359 citations indexed

About

Meng-Leong How is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Meng-Leong How has authored 16 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Science Applications and 3 papers in Information Systems. Recurrent topics in Meng-Leong How's work include Online Learning and Analytics (4 papers), Bayesian Modeling and Causal Inference (3 papers) and Teaching and Learning Programming (3 papers). Meng-Leong How is often cited by papers focused on Online Learning and Analytics (4 papers), Bayesian Modeling and Causal Inference (3 papers) and Teaching and Learning Programming (3 papers). Meng-Leong How collaborates with scholars based in Singapore, Australia and Finland. Meng-Leong How's co-authors include David Hung, Longkai Wu, Chee‐Kit Looi, Peter Seow, Jari Multisilta, Pauliina Tuomi and Ting‐Chia Hsu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Mathematics.

In The Last Decade

Meng-Leong How

16 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng-Leong How Singapore 11 124 78 67 59 42 16 359
Matthieu Brinkhuis Netherlands 9 45 0.4× 74 0.9× 52 0.8× 37 0.6× 21 0.5× 33 244
Muhammad Ahtisham Aslam Saudi Arabia 9 64 0.5× 76 1.0× 90 1.3× 16 0.3× 45 1.1× 34 287
Nahia Delgado Spain 6 78 0.6× 130 1.7× 144 2.1× 14 0.2× 49 1.2× 12 360
Gabriela Kiryakova Bulgaria 7 50 0.4× 63 0.8× 107 1.6× 11 0.2× 60 1.4× 23 257
Syed Muhammad Raza Abidi China 6 329 2.7× 179 2.3× 93 1.4× 31 0.5× 118 2.8× 8 479
Dragutin Kermek Croatia 8 74 0.6× 45 0.6× 119 1.8× 34 0.6× 48 1.1× 25 261
Luis de‐la‐Fuente‐Valentín Spain 12 258 2.1× 98 1.3× 107 1.6× 126 2.1× 92 2.2× 43 430
Diego Buenaño-Fernández Ecuador 8 170 1.4× 94 1.2× 88 1.3× 11 0.2× 33 0.8× 20 290
Ellen Walker United States 12 133 1.1× 37 0.5× 71 1.1× 27 0.5× 40 1.0× 42 346
Mike Brayshaw United Kingdom 11 91 0.7× 145 1.9× 104 1.6× 68 1.2× 31 0.7× 26 338

Countries citing papers authored by Meng-Leong How

Since Specialization
Citations

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

Fields of papers citing papers by Meng-Leong How

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng-Leong How. 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 Meng-Leong How. The network helps show where Meng-Leong How may publish in the future.

Co-authorship network of co-authors of Meng-Leong How

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

All Works

16 of 16 papers shown
1.
How, Meng-Leong, et al.. (2024). Forging the Future: Strategic Approaches to Quantum AI Integration for Industry Transformation. SHILAP Revista de lepidopterología. 5(1). 290–323. 21 indexed citations
2.
How, Meng-Leong, et al.. (2023). Business Renaissance: Opportunities and Challenges at the Dawn of the Quantum Computing Era. SHILAP Revista de lepidopterología. 3(4). 585–605. 26 indexed citations
3.
Wu, Longkai, et al.. (2023). Investigating Student-Generated Questioning in a Technology-Enabled Elementary Science Classroom: A Case Study. Education Sciences. 13(2). 158–158. 4 indexed citations
4.
How, Meng-Leong. (2022). Advancing Multidisciplinary STEM Education with Mathematics for Future-Ready Quantum Algorithmic Literacy. Mathematics. 10(7). 1146–1146. 8 indexed citations
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How, Meng-Leong, et al.. (2020). Artificial Intelligence-Enhanced Predictive Insights for Advancing Financial Inclusion: A Human-Centric AI-Thinking Approach. Big Data and Cognitive Computing. 4(2). 8–8. 26 indexed citations
9.
How, Meng-Leong, et al.. (2020). Predictive Insights for Improving the Resilience of Global Food Security Using Artificial Intelligence. Sustainability. 12(15). 6272–6272. 24 indexed citations
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How, Meng-Leong & David Hung. (2019). Educing AI-Thinking in Science, Technology, Engineering, Arts, and Mathematics (STEAM) Education. Education Sciences. 9(3). 184–184. 74 indexed citations
13.
Wu, Longkai, et al.. (2019). Teacher’s Perceptions and Readiness to Teach Coding Skills: A Comparative Study Between Finland, Mainland China, Singapore, Taiwan, and South Korea. The Asia-Pacific Education Researcher. 29(1). 21–34. 19 indexed citations
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Looi, Chee‐Kit, et al.. (2018). Analysis of linkages between an unplugged activity and the development of computational thinking. Computer Science Education. 28(3). 255–279. 52 indexed citations
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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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2026