Mohd Arfian Ismail

838 total citations
66 papers, 510 citations indexed

About

Mohd Arfian Ismail is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Mohd Arfian Ismail has authored 66 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 21 papers in Molecular Biology and 15 papers in Information Systems. Recurrent topics in Mohd Arfian Ismail's work include Microbial Metabolic Engineering and Bioproduction (12 papers), Spam and Phishing Detection (8 papers) and Network Security and Intrusion Detection (7 papers). Mohd Arfian Ismail is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (12 papers), Spam and Phishing Detection (8 papers) and Network Security and Intrusion Detection (7 papers). Mohd Arfian Ismail collaborates with scholars based in Malaysia, Indonesia and Iraq. Mohd Arfian Ismail's co-authors include Mohammad Aljanabi, Shahreen Kasim, Mohd Saberi Mohamad, Ahmed Hussein Ali, Vitaliy Mezhuyev, Tole Sutikno, Ashraf Osman Ibrahim, Abdulghani Ali Ahmed, Ali Safaa Sadiq and Muhammad Khurram Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Mohd Arfian Ismail

60 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohd Arfian Ismail Malaysia 13 239 127 122 66 57 66 510
Ashraf Osman Ibrahim Malaysia 14 221 0.9× 122 1.0× 154 1.3× 20 0.3× 45 0.8× 72 569
Mohsen Amini Salehi United States 14 219 0.9× 148 1.2× 157 1.3× 52 0.8× 41 0.7× 40 638
Amin Rezaeipanah Iran 17 312 1.3× 192 1.5× 345 2.8× 76 1.2× 16 0.3× 57 796
Patricia Riddle New Zealand 12 430 1.8× 174 1.4× 99 0.8× 23 0.3× 76 1.3× 57 692
Omar Ibrahim Obaid Iraq 11 167 0.7× 50 0.4× 86 0.7× 19 0.3× 20 0.4× 19 372
Aasim Zafar India 14 311 1.3× 65 0.5× 160 1.3× 21 0.3× 96 1.7× 72 552
Wookey Lee South Korea 12 226 0.9× 128 1.0× 84 0.7× 23 0.3× 107 1.9× 68 561
Vineet Kansal India 13 163 0.7× 169 1.3× 260 2.1× 10 0.2× 59 1.0× 62 575
Samrat Mondal India 14 224 0.9× 126 1.0× 44 0.4× 29 0.4× 83 1.5× 80 589
Ferhat Özgür Çatak Norway 17 422 1.8× 188 1.5× 254 2.1× 22 0.3× 203 3.6× 61 741

Countries citing papers authored by Mohd Arfian Ismail

Since Specialization
Citations

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

Fields of papers citing papers by Mohd Arfian Ismail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohd Arfian Ismail. 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 Mohd Arfian Ismail. The network helps show where Mohd Arfian Ismail may publish in the future.

Co-authorship network of co-authors of Mohd Arfian Ismail

This figure shows the co-authorship network connecting the top 25 collaborators of Mohd Arfian Ismail. A scholar is included among the top collaborators of Mohd Arfian Ismail 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 Mohd Arfian Ismail. Mohd Arfian Ismail 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.
Ismail, Mohd Arfian, et al.. (2024). Email Spam: A Comprehensive Review of Optimize Detection Methods, Challenges, and Open Research Problems. IEEE Access. 12. 143627–143657. 12 indexed citations
3.
Ismail, Mohd Arfian, et al.. (2024). Stacking with Recursive Feature Elimination-Isolation Forest for classification of diabetes mellitus. PLoS ONE. 19(5). e0302595–e0302595. 9 indexed citations
4.
Remli, Muhammad Akmal, et al.. (2023). Artificial Bee Colony algorithm in estimating kinetic parameters for yeast fermentation pathway. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 20(2). 3 indexed citations
5.
Ismail, Mohd Arfian. (2023). Reliability Function and Boolean Ring. 2023. 72–77.
6.
Ismail, Mohd Arfian, et al.. (2023). AI-Enabled Deep Learning Model for COVID-19 Identification Leveraging Internet of Things. SHILAP Revista de lepidopterología. 2(2). 33–38. 1 indexed citations
7.
Ismail, Mohd Arfian, et al.. (2023). Classification of COVID-19 Symptoms Using Multilayer Perceptron. SHILAP Revista de lepidopterología. 100–110. 3 indexed citations
8.
Kumar, Harish, Ping Jack Soh, & Mohd Arfian Ismail. (2022). Big Data Streaming Platforms: A Review. SHILAP Revista de lepidopterología. 95–100. 12 indexed citations
9.
Ismail, Mohd Arfian, et al.. (2022). A hybridization of butterfly optimization algorithm and harmony search for fuzzy modelling in phishing attack detection. Neural Computing and Applications. 35(7). 5501–5512. 7 indexed citations
10.
Ismail, Mohd Arfian, et al.. (2021). User identification system for inked fingerprint pattern based on central moments. Indonesian Journal of Electrical Engineering and Computer Science. 24(2). 1149–1149. 3 indexed citations
11.
Ismail, Mohd Arfian, et al.. (2021). Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition. PeerJ Computer Science. 7. e427–e427. 39 indexed citations
12.
Kasim, Shahreen, Rd. Rohmat Saedudin, Mohd Farhan Md Fudzee, et al.. (2019). Topologically significant directed random walk with applied walker network in cancer environment.. PubMed. 32(3 Special). 1395–1408. 1 indexed citations
13.
Mohamad, Mohd Saberi, Muhammad Akmal Remli, Mohd Arfian Ismail, et al.. (2019). Identifying a Gene Knockout Strategy Using a Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis to Enhance the Production of Succinate and Lactate in Escherichia Coli. Interdisciplinary Sciences Computational Life Sciences. 11(1). 33–44. 4 indexed citations
14.
Ismail, Mohd Arfian, et al.. (2019). Fuzzy Modelling using Firefly Algorithm for Phishing Detection. Advances in Science Technology and Engineering Systems Journal. 4(6). 291–296. 3 indexed citations
15.
Ismail, Mohd Arfian, et al.. (2018). Newton Competitive Genetic Algorithm Method for Optimization the Production of Biochemical Systems. Advanced Science Letters. 24(10). 7481–7485. 1 indexed citations
16.
Ismail, Mohd Arfian, et al.. (2018). Review on Intrusion Detection System Based on The Goal of The Detection System. International Journal of Integrated Engineering. 10(6). 17 indexed citations
17.
Kasim, Shahreen, et al.. (2017). An enhanced topologically significant directed random walk in cancer classification using gene expression datasets. Saudi Journal of Biological Sciences. 24(8). 1828–1841. 8 indexed citations
18.
Ismail, Mohd Arfian, et al.. (2015). A hybrid of optimization method for multiobjective constraint optimization of biochemical system production. Journal of Theoretical and Applied Information Technology. 81(3). 502–513. 4 indexed citations
19.
Ismail, Mohd Arfian, et al.. (2015). A Newton Cooperative Genetic Algorithm Method for In Silico Optimization of Metabolic Pathway Production. PLoS ONE. 10(5). e0126199–e0126199. 11 indexed citations
20.
Ismail, Mohd Arfian, Safaai Deris, Mohd Saberi Mohamad, & Afnizanfaizal Abdullah. (2014). A Hybrid of Newton Method and Genetic Algorithm for Constrained Optimization method of the Production of Metabolic Pathway. 11. 409–414. 4 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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