Zailani Abdullah

563 total citations
46 papers, 172 citations indexed

About

Zailani Abdullah is a scholar working on Information Systems, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Zailani Abdullah has authored 46 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Information Systems, 19 papers in Computational Theory and Mathematics and 18 papers in Artificial Intelligence. Recurrent topics in Zailani Abdullah's work include Data Mining Algorithms and Applications (25 papers), Rough Sets and Fuzzy Logic (17 papers) and Imbalanced Data Classification Techniques (15 papers). Zailani Abdullah is often cited by papers focused on Data Mining Algorithms and Applications (25 papers), Rough Sets and Fuzzy Logic (17 papers) and Imbalanced Data Classification Techniques (15 papers). Zailani Abdullah collaborates with scholars based in Malaysia, Indonesia and China. Zailani Abdullah's co-authors include Tutut Herawan, Mustafa Mat Deris, A. Noraziah, Masita Abdul Jalil, Mustafa Man, Wan Azelee Wan Abu Bakar, Prima Vitasari, Abdul Razak Hamdan, Muhammad Suzuri Hitam and Maizatul Akmar Ismail and has published in prestigious journals such as SHILAP Revista de lepidopterología, Quality & Quantity and Journal of Open Innovation Technology Market and Complexity.

In The Last Decade

Zailani Abdullah

38 papers receiving 152 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zailani Abdullah Malaysia 7 91 78 42 30 18 46 172
Surya Kallumadi United States 5 74 0.8× 129 1.7× 29 0.7× 8 0.3× 9 0.5× 18 209
Richard F. Paige United Kingdom 8 105 1.2× 84 1.1× 24 0.6× 37 1.2× 30 1.7× 20 207
Julien Tane Germany 6 117 1.3× 144 1.8× 15 0.4× 72 2.4× 47 2.6× 7 203
Elias C. Stavropoulos Greece 9 37 0.4× 104 1.3× 50 1.2× 59 2.0× 23 1.3× 20 223
Anupama Chadha India 6 64 0.7× 70 0.9× 5 0.1× 82 2.7× 20 1.1× 15 154
Phillip J. Windley United States 8 86 0.9× 111 1.4× 70 1.7× 8 0.3× 53 2.9× 24 239
Li-Shiang Tsay United States 8 113 1.2× 77 1.0× 76 1.8× 4 0.1× 32 1.8× 13 172
Mahiéddine Djoudi Algeria 6 62 0.7× 107 1.4× 8 0.2× 21 0.7× 34 1.9× 44 186
Diego García‐Saiz Spain 9 117 1.3× 99 1.3× 8 0.2× 95 3.2× 53 2.9× 27 232
Emad Al‐Shawakfa Jordan 9 147 1.6× 185 2.4× 6 0.1× 114 3.8× 34 1.9× 20 303

Countries citing papers authored by Zailani Abdullah

Since Specialization
Citations

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

Fields of papers citing papers by Zailani Abdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zailani Abdullah

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

All Works

20 of 20 papers shown
1.
Rahman, Muhammad Khalilur, et al.. (2025). Determinants of patients’ perceived halal health-care services and its impact on word-of-mouth communication. Journal of Islamic marketing. 16(10). 3013–3044.
2.
Abdullah, Zailani, et al.. (2025). Students’ Perceptions of the Virtual Reality (VR) Environment through GeoVR-Xplorer at Kelantan Matriculation College. SHILAP Revista de lepidopterología. 1(3). 55–71.
4.
Zhang, Haidong & Zailani Abdullah. (2024). DEVELOPMENT OF OMNI-CHANNEL AT CHINA. 7(25). 521–521.
5.
Sidek, Syamsuriana, et al.. (2023). Cyberpreneurship Resistance in Advocating Digital Inclusion Towards Socio-Cultural Sustainability. SHILAP Revista de lepidopterología. 73. 3009–3009. 1 indexed citations
6.
Abdullah, Zailani & Noorshella Che Nawi. (2021). An Overview of COVID-19 Impacts on Commercial E-Commerce Platforms in Southeast Asia Region. SHILAP Revista de lepidopterología. 4(1). 55–58. 1 indexed citations
7.
Bakar, Wan Azelee Wan Abu, et al.. (2020). i-Eclat: performance enhancement of eclat via incremental approach in frequent itemset mining. TELKOMNIKA (Telecommunication Computing Electronics and Control). 18(1). 562–562. 9 indexed citations
8.
Munro, Malcolm, et al.. (2019). Regression test selection model: a comparison between ReTSE and pythia. TELKOMNIKA (Telecommunication Computing Electronics and Control). 17(2). 844–844. 4 indexed citations
9.
Bakar, Wan Azelee Wan Abu, et al.. (2018). Postdiffset: an Eclat-like algorithm for frequent itemset mining. International Journal of Engineering & Technology. 7(2.28). 197–197. 7 indexed citations
10.
Ahmad, Wan Muhamad Amir W, et al.. (2018). The Alternative Profit on Shariah-Compliant by using Compounding Theory. International Journal of Engineering & Technology. 7(2.14). 39–39.
11.
Abdullah, Zailani, et al.. (2016). JMASM39: Algorithm for Combining Robust and Bootstrap In Multiple Linear Model Regression (SAS). Journal of Modern Applied Statistical Methods. 15(1). 884–892. 2 indexed citations
12.
Ramli, Rosmaliza, et al.. (2016). CANONICAL CORRESPONDENCE ANALYSIS AND PATH ANALYSIS MODEL (CCA) APPLIED TO DENTAL CARIES AMONG CHILDREN SIX AND SEVEN YEAR OLDS, BACHOK, KELANTAN, MALAYSIA.. International Journal of Advanced Research. 4(5). 1792–1799. 5 indexed citations
13.
Man, Mustafa, Wan Azelee Wan Abu Bakar, Zailani Abdullah, Masita Abdul Jalil, & Tutut Herawan. (2016). Mining Association Rules: A Case Study on Benchmark Dense Data. Indonesian Journal of Electrical Engineering and Computer Science. 3(3). 546–546. 8 indexed citations
14.
Abdullah, Zailani, et al.. (2015). A Method of Discovering Interesting Association Rules from Student Admission Dataset. International Journal of Software Engineering and Its Applications. 9(8). 51–66. 5 indexed citations
15.
Bakar, Wan Azelee Wan Abu, et al.. (2015). MINING DENSE DATA: ASSOCIATION RULE DISCOVERY ON BENCHMARK CASE STUDY. Jurnal Teknologi. 78(2-2). 2 indexed citations
16.
Abdullah, Zailani & Abdul Razak Hamdan. (2015). Hierarchical Clustering Algorithms In Data Mining. Zenodo (CERN European Organization for Nuclear Research). 9(10). 2201–2206. 5 indexed citations
17.
Abdullah, Zailani, Tutut Herawan, A. Noraziah, & Mustafa Mat Deris. (2014). A Scalable Algorithm for Constructing Frequent Pattern Tree. International Journal of Intelligent Information Technologies. 10(1). 42–56. 3 indexed citations
18.
Herawan, Tutut, et al.. (2014). Cauchy criterion for the Henstock-Kurzweil integrability of fuzzy number-valued functions. 14. 1329–1333. 2 indexed citations
19.
Abdullah, Zailani, Tutut Herawan, & Mustafa Mat Deris. (2012). DETECTING CRITICAL LEAST ASSOCIATION RULES IN MEDICAL DATABASES. International Journal of Modern Physics Conference Series. 9. 464–479. 1 indexed citations
20.
Abdullah, Zailani & Muhammad Suzuri Hitam. (2007). FEATURES EXTRACTION ALGORITHM FROM SGML FOR CLASSIFICATION. 3 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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