Siew Ming Thang

58 total papers · 731 total citations
42 papers, 470 citations indexed

About

Siew Ming Thang is a scholar working on Education, Developmental and Educational Psychology and Language and Linguistics. According to data from OpenAlex, Siew Ming Thang has authored 42 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Education, 17 papers in Developmental and Educational Psychology and 16 papers in Language and Linguistics. Recurrent topics in Siew Ming Thang's work include Online and Blended Learning (16 papers), EFL/ESL Teaching and Learning (12 papers) and Innovative Teaching and Learning Methods (11 papers). Siew Ming Thang is often cited by papers focused on Online and Blended Learning (16 papers), EFL/ESL Teaching and Learning (12 papers) and Innovative Teaching and Learning Methods (11 papers). Siew Ming Thang collaborates with scholars based in Malaysia, United Kingdom and Japan. Siew Ming Thang's co-authors include N. Mahmud, Kemboja Ismail, Hazita Azman, Radha M.K. Nambiar, Pramela Krısh, Carol Hall, Peter Göbel, Gurnam Kaur Sidhu, Chan Yuen Fook and Azizah Ya’acob and has published in prestigious journals such as SHILAP Revista de lepidopterología, The International Review of Research in Open and Distributed Learning and Computer Assisted Language Learning.

In The Last Decade

Siew Ming Thang

41 papers receiving 405 citations

Author Peers

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

Author						Papers	Cites
Siew Ming Thang	289	131	119	100	79	42	470
Kemboja Ismail	273 0.9×	169 1.3×	84 0.7×	132 1.3×	65 0.8×	34	495
Phillip A. Towndrow	278 1.0×	70 0.5×	89 0.7×	75 0.8×	67 0.8×	48	453
Gail E. Tompkins	345 1.2×	82 0.6×	192 1.6×	119 1.2×	28 0.4×	33	542
Eunice Ivala	239 0.8×	73 0.6×	47 0.4×	92 0.9×	139 1.8×	37	450
Arda Arıkan	277 1.0×	205 1.6×	98 0.8×	71 0.7×	21 0.3×	66	525
Alyson Simpson	304 1.1×	50 0.4×	79 0.7×	65 0.7×	58 0.7×	44	458
Julian Chen	211 0.7×	170 1.3×	158 1.3×	116 1.2×	24 0.3×	40	516
Arlene Archer	195 0.7×	91 0.7×	47 0.4×	41 0.4×	47 0.6×	49	452
Thomas DeVere Wolsey	391 1.4×	70 0.5×	112 0.9×	37 0.4×	51 0.6×	37	496
Lasisi Ajayi	255 0.9×	139 1.1×	54 0.5×	48 0.5×	116 1.5×	28	479

Countries citing papers authored by Siew Ming Thang

Since Specialization

Citations

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

Fields of papers citing papers by Siew Ming Thang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siew Ming Thang. 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 Siew Ming Thang. The network helps show where Siew Ming Thang may publish in the future.

Co-authorship network of co-authors of Siew Ming Thang

This figure shows the co-authorship network connecting the top 25 collaborators of Siew Ming Thang. A scholar is included among the top collaborators of Siew Ming Thang 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 Siew Ming Thang. Siew Ming Thang 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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