Chew Cheng Meng

77 total papers · 513 total citations
54 papers, 320 citations indexed

About

Chew Cheng Meng is a scholar working on Education, Applied Mathematics and Statistics and Probability. According to data from OpenAlex, Chew Cheng Meng has authored 54 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Education, 16 papers in Applied Mathematics and 13 papers in Statistics and Probability. Recurrent topics in Chew Cheng Meng's work include Mathematics Education and Teaching Techniques (21 papers), Mathematics Education and Pedagogy (16 papers) and Cognitive and developmental aspects of mathematical skills (10 papers). Chew Cheng Meng is often cited by papers focused on Mathematics Education and Teaching Techniques (21 papers), Mathematics Education and Pedagogy (16 papers) and Cognitive and developmental aspects of mathematical skills (10 papers). Chew Cheng Meng collaborates with scholars based in Malaysia, United States and United Arab Emirates. Chew Cheng Meng's co-authors include Noraini Idris, Kwan Eu Leong, Suzieleez Syrene Abdul Rahim, Sultan Idris, Pulau Pinang, Teoh Sian Hoon, Parmjit Singh, Lei Mee Thien, Allan L White and Kaye Stacey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Contemporary Educational Psychology and Education and Information Technologies.

In The Last Decade

Chew Cheng Meng

45 papers receiving 281 citations

Author Peers

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

Author						Papers	Cites
Chew Cheng Meng	258	76	43	42	35	54	320
Çiğdem Arslan	200 0.8×	67 0.9×	42 1.0×	47 1.1×	42 1.2×	37	310
Ji-Eun Lee	221 0.9×	53 0.7×	24 0.6×	55 1.3×	85 2.4×	41	305
Maitree Inprasitha	225 0.9×	94 1.2×	24 0.6×	35 0.8×	19 0.5×	45	256
Selahattin Arslan	236 0.9×	39 0.5×	16 0.4×	39 0.9×	55 1.6×	51	289
Aida Suraya Md. Yunus	204 0.8×	55 0.7×	32 0.7×	62 1.5×	20 0.6×	39	297
Kemal Özgen	277 1.1×	68 0.9×	34 0.8×	66 1.6×	56 1.6×	45	319
Kai‐Lin Yang	244 0.9×	58 0.8×	36 0.8×	84 2.0×	84 2.4×	38	316
Ayten Pınar Bal	270 1.0×	60 0.8×	24 0.6×	30 0.7×	38 1.1×	63	305
Tamer Kutluca	287 1.1×	71 0.9×	74 1.7×	67 1.6×	23 0.7×	50	361
Tin Lam Toh	253 1.0×	95 1.3×	31 0.7×	62 1.5×	80 2.3×	59	310

Countries citing papers authored by Chew Cheng Meng

Since Specialization

Citations

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

Fields of papers citing papers by Chew Cheng Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chew Cheng Meng. 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 Chew Cheng Meng. The network helps show where Chew Cheng Meng may publish in the future.

Co-authorship network of co-authors of Chew Cheng Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Chew Cheng Meng. A scholar is included among the top collaborators of Chew Cheng Meng 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 Chew Cheng Meng. Chew Cheng Meng 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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