Afnizanfaizal Abdullah

600 total citations
39 papers, 292 citations indexed

About

Afnizanfaizal Abdullah is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Afnizanfaizal Abdullah has authored 39 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Afnizanfaizal Abdullah's work include Microbial Metabolic Engineering and Bioproduction (10 papers), Bioinformatics and Genomic Networks (7 papers) and Machine Learning in Bioinformatics (6 papers). Afnizanfaizal Abdullah is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (10 papers), Bioinformatics and Genomic Networks (7 papers) and Machine Learning in Bioinformatics (6 papers). Afnizanfaizal Abdullah collaborates with scholars based in Malaysia, United States and Japan. Afnizanfaizal Abdullah's co-authors include Safaai Deris, Mohd Saberi Mohamad, Sohail Anwar, Mohd Shahrizal Sunar, Satya N.V. Arjunan, Soobia Saeed, Satoshi Yatsushiro, Mitsunori Matsumae, Kagayaki Kuroda and Akihiro Hirayama and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Multimedia Tools and Applications.

In The Last Decade

Afnizanfaizal Abdullah

36 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Afnizanfaizal Abdullah Malaysia 11 85 80 63 35 32 39 292
Ahmed Fakhry United States 10 106 1.2× 66 0.8× 153 2.4× 13 0.4× 18 0.6× 18 408
Jiazhou Chen China 14 197 2.3× 156 1.9× 142 2.3× 11 0.3× 13 0.4× 46 610
Joaquim Cezar Felipe Brazil 10 149 1.8× 49 0.6× 196 3.1× 7 0.2× 21 0.7× 44 482
Tinghua Wang China 10 174 2.0× 37 0.5× 103 1.6× 10 0.3× 14 0.4× 32 310
Xinlei Wang China 10 61 0.7× 53 0.7× 49 0.8× 12 0.3× 32 1.0× 38 323
Lale Özyılmaz Türkiye 8 125 1.5× 51 0.6× 57 0.9× 4 0.1× 39 1.2× 19 318
Tianqi Yang China 10 71 0.8× 53 0.7× 41 0.7× 45 1.3× 24 0.8× 64 315
Fábio Fabris United Kingdom 11 93 1.1× 151 1.9× 24 0.4× 4 0.1× 8 0.3× 24 424
Ito Wasito Indonesia 9 123 1.4× 62 0.8× 54 0.9× 1 0.0× 35 1.1× 47 328
Xiaohui Xie United States 9 104 1.2× 40 0.5× 54 0.9× 53 1.5× 7 0.2× 12 358

Countries citing papers authored by Afnizanfaizal Abdullah

Since Specialization
Citations

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

Fields of papers citing papers by Afnizanfaizal Abdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Afnizanfaizal Abdullah

This figure shows the co-authorship network connecting the top 25 collaborators of Afnizanfaizal Abdullah. A scholar is included among the top collaborators of Afnizanfaizal 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 Afnizanfaizal Abdullah. Afnizanfaizal 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.
Saeed, Soobia, et al.. (2022). New techniques for efficiently k-NN algorithm for brain tumor detection. Multimedia Tools and Applications. 81(13). 18595–18616. 19 indexed citations
2.
Abdullah, Afnizanfaizal, et al.. (2021). Chronic Eosinophilic Pneumonia: When Corticosteroids Are Not Enough. A2086–A2086. 3 indexed citations
3.
Abdullah, Afnizanfaizal, et al.. (2020). Functional analysis of cancer gene subtype from co-clustering and classification. Indonesian Journal of Electrical Engineering and Computer Science. 18(1). 343–343. 2 indexed citations
4.
Abdullah, Afnizanfaizal, et al.. (2019). Co-clustering algorithm for the identification of cancer subtypes from gene expression data. TELKOMNIKA (Telecommunication Computing Electronics and Control). 17(4). 2017–2017. 1 indexed citations
5.
Abdullah, Afnizanfaizal, et al.. (2019). Diffuse Alveolar Hemorrhage (DAH)- A Rare Life-Threatening Manifestation of Anaplasmosis. A6567–A6567. 1 indexed citations
6.
Saeed, Soobia, Afnizanfaizal Abdullah, & N. Z. Jhanjhi. (2019). Implementation of Fourier Transformation with Brain Cancer and CSF Images. Indian Journal of Science and Technology. 12(37). 1–9. 5 indexed citations
7.
Saeed, Soobia, et al.. (2018). Current Trends and Issues Legacy Application of the Serverless Architecture. 6(2). 100–108. 1 indexed citations
8.
Abdullah, Afnizanfaizal, et al.. (2017). Prediction of Bioprocess Production Using Deep Neural Network Method. TELKOMNIKA (Telecommunication Computing Electronics and Control). 15(2). 805–805.
9.
Sunar, Mohd Shahrizal, et al.. (2016). Identification of metabolic pathways using pathfinding approaches: a systematic review. Briefings in Functional Genomics. 16(2). elw002–elw002. 18 indexed citations
10.
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
11.
Abdullah, Afnizanfaizal, et al.. (2014). A comparative study between flux balance analysis and kinetic model for C. acetobutylicum. 264–267. 1 indexed citations
12.
13.
Abdullah, Afnizanfaizal, Safaai Deris, & Mohd Saberi Mohamad. (2013). A NEW HYBRID BEE EVOLUTION ALGORITHM FOR PARAMETER ESTIMATION IN BIOLOGICAL MODEL. ICIC express letters. Part B, Applications. 4(1). 1–6. 2 indexed citations
14.
Abdullah, Afnizanfaizal, Safaai Deris, Mohd Saberi Mohamad, & Sohail Anwar. (2013). Correction: An Improved Swarm Optimization for Parameter Estimation and Biological Model Selection. PLoS ONE. 8(5). 3 indexed citations
15.
Abdullah, Afnizanfaizal, Safaai Deris, Sohail Anwar, & Satya N.V. Arjunan. (2013). An Evolutionary Firefly Algorithm for the Estimation of Nonlinear Biological Model Parameters. PLoS ONE. 8(3). e56310–e56310. 29 indexed citations
16.
Mohamad, Mohd Saberi, et al.. (2013). Prediction of Vanillin and Glutamate Productions in Yeast Using a Hybrid of Continuous Bees Algorithm and Flux Balance Analysis (CBAFBA). Current Bioinformatics. 9(3). 284–294. 1 indexed citations
17.
Mohamad, Mohd Saberi, Sigeru Omatu, Safaai Deris, et al.. (2013). An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes. Algorithms for Molecular Biology. 8(1). 15–15. 34 indexed citations
18.
Abdullah, Afnizanfaizal, Akihiro Hirayama, Satoshi Yatsushiro, Mitsunori Matsumae, & Kagayaki Kuroda. (2012). Cerebrospinal fluid pulsatile segmentation - a review. 1–7. 3 indexed citations
19.
Abdullah, Afnizanfaizal, et al.. (2012). Hybrid Evolutionary Clonal Selection for Parameter Estimation of Biological Model. 2 indexed citations
20.
Mohamad, Mohd Saberi, et al.. (2011). An improved hybrid of SVM and SCAD for pathway analysis. Bioinformation. 7(4). 169–175. 1 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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