Hui Qi Low

2.0k total citations
3 papers, 126 citations indexed

About

Hui Qi Low is a scholar working on Dermatology, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Hui Qi Low has authored 3 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Dermatology, 1 paper in Sociology and Political Science and 1 paper in Artificial Intelligence. Recurrent topics in Hui Qi Low's work include Diet, Metabolism, and Disease (1 paper), Hate Speech and Cyberbullying Detection (1 paper) and Lipid metabolism and biosynthesis (1 paper). Hui Qi Low is often cited by papers focused on Diet, Metabolism, and Disease (1 paper), Hate Speech and Cyberbullying Detection (1 paper) and Lipid metabolism and biosynthesis (1 paper). Hui Qi Low collaborates with scholars based in Singapore, Israel and Finland. Hui Qi Low's co-authors include Jianjun Liu, Bani Kaur Suri, Paola Ricciardi Castagnoli, Fook Tim Chew, De Yun Wang, Anand Kumar Andiappan, Yi Li, Wanting Zhao, Ye Sun and Xuling Chang and has published in prestigious journals such as PLoS ONE, Genes & Nutrition and Humanities and Social Sciences Communications.

In The Last Decade

Hui Qi Low

3 papers receiving 121 citations

Peers

Hui Qi Low

PHYSI

IA

ND

IMMUN

MB

Juan Rodríguez‐Coira Spain

Anna James Sweden

Shinichi Namba Japan

Ji-Chen Ho Taiwan

Quang Luu Quoc South Korea

Stina Bodén Sweden

Stein United States

Hasret Ayyıldız Civan Türkiye

Omer A Musa Sudan

Beatriz F. Côrte‐Real Belgium

Juan Rodríguez‐Coira Spain

Hui Qi Low

97 ×1.4

PHYSI

62 ×1.5

IA

7 ×0.3

ND

38 ×2.0

IMMUN

67 ×3.7

MB

Citations per year, relative to Hui Qi Low Hui Qi Low (= 1×) peers Juan Rodríguez‐Coira

Countries citing papers authored by Hui Qi Low

Since Specialization

Citations

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

Fields of papers citing papers by Hui Qi Low

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui Qi Low. 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 Hui Qi Low. The network helps show where Hui Qi Low may publish in the future.

Co-authorship network of co-authors of Hui Qi Low

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

All Works

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3 of 3 papers shown

1.

Low, Hui Qi, Pantea Keikhosrokiani, & Moussa Pourya Asl. (2024). Decoding violence against women: analysing harassment in middle eastern literature with machine learning and sentiment analysis. Humanities and Social Sciences Communications. 11(1). 3 indexed citations

2.

Dorajoo, Rajkumar, Ye Sun, Yi Han, et al.. (2015). A genome-wide association study of n-3 and n-6 plasma fatty acids in a Singaporean Chinese population. Genes & Nutrition. 10(6). 53–53. 57 indexed citations

3.

Andiappan, Anand Kumar, De Yun Wang, Bani Kaur Suri, et al.. (2011). Genome-Wide Association Study for Atopy and Allergic Rhinitis in a Singapore Chinese Population. PLoS ONE. 6(5). e19719–e19719. 66 indexed citations

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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