Choon Lin Tan

1.1k total citations · 2 hit papers
11 papers, 711 citations indexed

About

Choon Lin Tan is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Choon Lin Tan has authored 11 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 7 papers in Artificial Intelligence and 3 papers in Sociology and Political Science. Recurrent topics in Choon Lin Tan's work include Spam and Phishing Detection (9 papers), Text and Document Classification Technologies (6 papers) and User Authentication and Security Systems (4 papers). Choon Lin Tan is often cited by papers focused on Spam and Phishing Detection (9 papers), Text and Document Classification Technologies (6 papers) and User Authentication and Security Systems (4 papers). Choon Lin Tan collaborates with scholars based in Malaysia and Australia. Choon Lin Tan's co-authors include Kang Leng Chiew, Kelvin S. C. Yong, KokSheik Wong, Wei King Tiong, San Nah Sze, Lau Bee Theng, Yakub Sebastian, Johari Abdullah and Dayang Hanani Abang Ibrahim and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Decision Support Systems.

In The Last Decade

Choon Lin Tan

11 papers receiving 667 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A new hybrid ensemble feature selection framework for machine learning-based phishing detection system

2019 234 citations Kang Leng Chiew, Choon Lin Tan et al. Information Sciences profile →
Future of generative adversarial networks (GAN) for anomaly detection in network security: A review

2024 59 citations Kelvin S. C. Yong, Lau Bee Theng et al. Computers & Security profile →

Peers

Choon Lin Tan

IS

AI

SP

CNC

SPS

Kang Leng Chiew Malaysia

Ebubekir Buber Türkiye

Apostolis Zarras Germany

Hamad Binsalleeh Canada

Yongzheng Zhang China

Mingxing He China

Antonio Maña Spain

Xudong Liu China

Christian Wressnegger Germany

Jinqiao Shi China

Kang Leng Chiew Malaysia

Choon Lin Tan

745 ×1.3

IS

406 ×1.2

AI

417 ×1.3

SP

243 ×1.2

CNC

165 ×1.4

SPS

Citations per year, relative to Choon Lin Tan Choon Lin Tan (= 1×) peers Kang Leng Chiew

Countries citing papers authored by Choon Lin Tan

Since Specialization

Citations

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

Fields of papers citing papers by Choon Lin Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Choon Lin Tan. 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 Choon Lin Tan. The network helps show where Choon Lin Tan may publish in the future.

Co-authorship network of co-authors of Choon Lin Tan

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

All Works

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11 of 11 papers shown

1.

Yong, Kelvin S. C., et al.. (2024). Future of generative adversarial networks (GAN) for anomaly detection in network security: A review. Computers & Security. 139. 103733–103733. 59 indexed citations breakdown →

2.

Tan, Choon Lin, et al.. (2023). Hybrid phishing detection using joint visual and textual identity. Expert Systems with Applications. 220. 119723–119723. 21 indexed citations

3.

Tan, Choon Lin, Kang Leng Chiew, Kelvin S. C. Yong, et al.. (2020). A graph-theoretic approach for the detection of phishing webpages. Computers & Security. 95. 101793–101793. 41 indexed citations

4.

Yong, Kelvin S. C., Kang Leng Chiew, & Choon Lin Tan. (2019). A survey of the QR code phishing: the current attacks and countermeasures. 1–5. 10 indexed citations

5.

Chiew, Kang Leng, Choon Lin Tan, KokSheik Wong, Kelvin S. C. Yong, & Wei King Tiong. (2019). A new hybrid ensemble feature selection framework for machine learning-based phishing detection system. Information Sciences. 484. 153–166. 234 indexed citations breakdown →

6.

Chiew, Kang Leng, et al.. (2018). Building Standard Offline Anti-phishing Dataset for Benchmarking. International Journal of Engineering & Technology. 7(4.31). 7–14. 15 indexed citations

7.

Tan, Choon Lin, et al.. (2018). Identifying the Most Effective Feature Category in Machine Learning-based Phishing Website Detection. International Journal of Engineering & Technology. 7(4.31). 1–6. 4 indexed citations

8.

Tan, Choon Lin. (2018). Phishing Dataset for Machine Learning: Feature Evaluation. Data Archiving and Networked Services (DANS). 1. 43 indexed citations

9.

Chiew, Kang Leng, Kelvin S. C. Yong, & Choon Lin Tan. (2018). A survey of phishing attacks: Their types, vectors and technical approaches. Expert Systems with Applications. 106. 1–20. 190 indexed citations

10.

Tan, Choon Lin, Kang Leng Chiew, KokSheik Wong, & San Nah Sze. (2016). PhishWHO: Phishing webpage detection via identity keywords extraction and target domain name finder. Decision Support Systems. 88. 18–27. 77 indexed citations

11.

Tan, Choon Lin, Kang Leng Chiew, & San Nah Sze. (2014). Phishing website detection using URL-assisted brand name weighting system. 54–59. 17 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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