XinYing Chew

120 total papers · 1.3k total citations
77 papers, 700 citations indexed

About

XinYing Chew is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Marketing. According to data from OpenAlex, XinYing Chew has authored 77 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics, Probability and Uncertainty, 17 papers in Statistics and Probability and 13 papers in Marketing. Recurrent topics in XinYing Chew's work include Advanced Statistical Process Monitoring (28 papers), Advanced Statistical Methods and Models (16 papers) and Technology Adoption and User Behaviour (11 papers). XinYing Chew is often cited by papers focused on Advanced Statistical Process Monitoring (28 papers), Advanced Statistical Methods and Models (16 papers) and Technology Adoption and User Behaviour (11 papers). XinYing Chew collaborates with scholars based in Malaysia, Iraq and Pakistan. XinYing Chew's co-authors include Khai Wah Khaw, Alhamzah Alnoor, Michael B. C. Khoo, Sammar Abbas, Wai Chung Yeong, Ming Ha Lee, Abdullah Mohammed Sadaa, Sin Yin Teh, Hadi Al‐Abrrow and Hussam Al Halbusi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

XinYing Chew

60 papers receiving 672 citations

Author Peers

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

Author						Papers	Cites
XinYing Chew	171	107	94	93	93	77	700
Sarah Gelper	102 0.6×	89 0.8×	119 1.3×	20 0.2×	210 2.3×	40	882
Rainer Göb	147 0.9×	52 0.5×	43 0.5×	36 0.4×	87 0.9×	32	647
Sin Yin Teh	406 2.4×	34 0.3×	44 0.5×	50 0.5×	207 2.2×	67	705
Haiyun Xu	79 0.5×	115 1.1×	43 0.5×	29 0.3×	26 0.3×	35	659
Abdollah Aghaie	137 0.8×	100 0.9×	83 0.9×	23 0.2×	78 0.8×	40	652
Robert L. Armacost	31 0.2×	56 0.5×	79 0.8×	59 0.6×	39 0.4×	49	909
Toni Lupo	111 0.6×	29 0.3×	23 0.2×	38 0.4×	47 0.5×	34	639
Ching-Hsin Wang	96 0.6×	81 0.8×	28 0.3×	13 0.1×	32 0.3×	46	698
Joan M. Donohue	55 0.3×	63 0.6×	37 0.4×	26 0.3×	38 0.4×	37	627
Dong‐Shang Chang	89 0.5×	20 0.2×	62 0.7×	24 0.3×	62 0.7×	50	820

Countries citing papers authored by XinYing Chew

Since Specialization

Citations

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

Fields of papers citing papers by XinYing Chew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of XinYing Chew

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