Sin Yin Teh

104 total papers · 1.1k total citations
67 papers, 705 citations indexed

About

Sin Yin Teh is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Sin Yin Teh has authored 67 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Statistics, Probability and Uncertainty, 19 papers in Statistics and Probability and 10 papers in Management Science and Operations Research. Recurrent topics in Sin Yin Teh's work include Advanced Statistical Process Monitoring (43 papers), Scientific Measurement and Uncertainty Evaluation (30 papers) and Advanced Statistical Methods and Models (16 papers). Sin Yin Teh is often cited by papers focused on Advanced Statistical Process Monitoring (43 papers), Scientific Measurement and Uncertainty Evaluation (30 papers) and Advanced Statistical Methods and Models (16 papers). Sin Yin Teh collaborates with scholars based in Malaysia, Pakistan and Bangladesh. Sin Yin Teh's co-authors include Michael B. C. Khoo, Wei Lin Teoh, Zhang Wu, Philippe Castagliola, Wai Chung Yeong, XinYing Chew, Ridwan A. Sanusi, Alhamzah Alnoor, Khai Wah Khaw and Sammar Abbas and has published in prestigious journals such as PLoS ONE, European Journal of Operational Research and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Sin Yin Teh

52 papers receiving 681 citations

Author Peers

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

Author Last Decade Papers Cites
Sin Yin Teh 406 207 117 93 54 67 705
Antonio Pievatolo 215 0.5× 143 0.7× 204 1.7× 109 1.2× 48 0.9× 49 863
XinYing Chew 171 0.4× 93 0.4× 67 0.6× 69 0.7× 68 1.3× 77 700
Rainer Göb 147 0.4× 87 0.4× 52 0.4× 143 1.5× 68 1.3× 32 647
Abdollah Aghaie 137 0.3× 78 0.4× 148 1.3× 147 1.6× 61 1.1× 40 652
Andrés Carrión García 196 0.5× 104 0.5× 79 0.7× 58 0.6× 61 1.1× 66 639
Toni Lupo 111 0.3× 47 0.2× 46 0.4× 262 2.8× 66 1.2× 34 639
James T. Luxhøj 275 0.7× 44 0.2× 96 0.8× 141 1.5× 101 1.9× 92 851
Jeffrey E. Jarrett 140 0.3× 110 0.5× 50 0.4× 300 3.2× 115 2.1× 94 897
Nat Jack 230 0.6× 191 0.9× 71 0.6× 31 0.3× 68 1.3× 31 845
Chiu‐Chi Wei 159 0.4× 33 0.2× 83 0.7× 363 3.9× 130 2.4× 61 768

Countries citing papers authored by Sin Yin Teh

Since Specialization
Citations

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

Fields of papers citing papers by Sin Yin Teh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sin Yin Teh. 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 Sin Yin Teh. The network helps show where Sin Yin Teh may publish in the future.

Co-authorship network of co-authors of Sin Yin Teh

This figure shows the co-authorship network connecting the top 25 collaborators of Sin Yin Teh. A scholar is included among the top collaborators of Sin Yin Teh 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 Sin Yin Teh. Sin Yin Teh 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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