Si Na Kew

72 total papers · 1.1k total citations
52 papers, 685 citations indexed

About

Si Na Kew is a scholar working on Education, Information Systems and Computer Science Applications. According to data from OpenAlex, Si Na Kew has authored 52 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Education, 15 papers in Information Systems and 13 papers in Computer Science Applications. Recurrent topics in Si Na Kew's work include Technology-Enhanced Education Studies (15 papers), Online and Blended Learning (14 papers) and Online Learning and Analytics (13 papers). Si Na Kew is often cited by papers focused on Technology-Enhanced Education Studies (15 papers), Online and Blended Learning (14 papers) and Online Learning and Analytics (13 papers). Si Na Kew collaborates with scholars based in Malaysia, Singapore and Australia. Si Na Kew's co-authors include Zaidatun Tasir, Tze Wei Liew, Thanin Ratanaolarn, Teck Ming Tan, Elizabeth Koh, Nurbiha A. Shukor, Su-Mae Tan, Abdul Qawi Noori, Sayeed Naqibullah Orfan and Zheng Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Applied Sciences.

In The Last Decade

Si Na Kew

45 papers receiving 642 citations

Hit Papers

Innovative pedagogical pr... 2022 2026 2023 2024 2022 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Si Na Kew 362 229 197 123 91 52 685
Donggil Song 335 0.9× 256 1.1× 156 0.8× 232 1.9× 138 1.5× 35 712
Rose Luckin 268 0.7× 226 1.0× 150 0.8× 227 1.8× 156 1.7× 50 704
Xianmin Yang 258 0.7× 118 0.5× 196 1.0× 156 1.3× 50 0.5× 28 570
Rianne Conijn 349 1.0× 414 1.8× 133 0.7× 186 1.5× 170 1.9× 29 775
Jamie Costley 450 1.2× 205 0.9× 137 0.7× 250 2.0× 90 1.0× 75 790
Chengyuan Jia 385 1.1× 218 1.0× 158 0.8× 151 1.2× 125 1.4× 16 698
Taotao Long 536 1.5× 138 0.6× 174 0.9× 117 1.0× 42 0.5× 50 688
Shelley Shwu‐Ching Young 250 0.7× 106 0.5× 197 1.0× 253 2.1× 85 0.9× 44 593
Kun Li 343 0.9× 331 1.4× 137 0.7× 144 1.2× 66 0.7× 20 747
Ashraf Alam 234 0.6× 246 1.1× 142 0.7× 93 0.8× 161 1.8× 42 776

Countries citing papers authored by Si Na Kew

Since Specialization
Citations

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

Fields of papers citing papers by Si Na Kew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Si Na Kew. 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 Si Na Kew. The network helps show where Si Na Kew may publish in the future.

Co-authorship network of co-authors of Si Na Kew

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

All Works

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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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