Shahreen Kasim

1.5k total citations
142 papers, 899 citations indexed

About

Shahreen Kasim is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Shahreen Kasim has authored 142 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 37 papers in Molecular Biology and 30 papers in Information Systems. Recurrent topics in Shahreen Kasim's work include Gene expression and cancer classification (21 papers), Machine Learning in Bioinformatics (16 papers) and Bioinformatics and Genomic Networks (16 papers). Shahreen Kasim is often cited by papers focused on Gene expression and cancer classification (21 papers), Machine Learning in Bioinformatics (16 papers) and Bioinformatics and Genomic Networks (16 papers). Shahreen Kasim collaborates with scholars based in Malaysia, Indonesia and Iraq. Shahreen Kasim's co-authors include Tole Sutikno, Rohayanti Hassan, Mohd Arfian Ismail, Mohd Saberi Mohamad, Mohd Farhan Md Fudzee, Rd. Rohmat Saedudin, Safaai Deris, Hairulnizam Mahdin, Lina Handayani and Azizul Azhar Ramli and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and BMC Bioinformatics.

In The Last Decade

Shahreen Kasim

129 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shahreen Kasim Malaysia 16 250 244 152 134 91 142 899
Ibrahim Almarashdeh Saudi Arabia 21 185 0.7× 300 1.2× 193 1.3× 82 0.6× 72 0.8× 60 1.1k
Ioannis Anagnostopoulos Greece 14 440 1.8× 237 1.0× 126 0.8× 456 3.4× 73 0.8× 86 1.3k
Mutasem K. Alsmadi Saudi Arabia 27 359 1.4× 455 1.9× 388 2.6× 306 2.3× 159 1.7× 109 1.9k
Waqar Mahmood Pakistan 17 314 1.3× 198 0.8× 290 1.9× 137 1.0× 55 0.6× 42 844
Ning Wang China 15 257 1.0× 137 0.6× 102 0.7× 181 1.4× 87 1.0× 146 965
Tariq Rahim Soomro Pakistan 11 249 1.0× 337 1.4× 227 1.5× 83 0.6× 16 0.2× 61 1.0k
Sapna Juneja India 21 336 1.3× 254 1.0× 242 1.6× 162 1.2× 48 0.5× 85 1.2k
Jason C. Hung Taiwan 17 340 1.4× 149 0.6× 117 0.8× 206 1.5× 16 0.2× 117 966
Tranos Zuva South Africa 13 165 0.7× 173 0.7× 93 0.6× 103 0.8× 15 0.2× 93 758
Oludayo O. Olugbara South Africa 16 279 1.1× 76 0.3× 56 0.4× 98 0.7× 42 0.5× 89 802

Countries citing papers authored by Shahreen Kasim

Since Specialization
Citations

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

Fields of papers citing papers by Shahreen Kasim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahreen Kasim

This figure shows the co-authorship network connecting the top 25 collaborators of Shahreen Kasim. A scholar is included among the top collaborators of Shahreen Kasim 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 Shahreen Kasim. Shahreen Kasim 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.
Kasim, Shahreen, et al.. (2025). A novel framework for malware detection using entropy-based statistical features and machine learning models across file types. Engineering Research Express. 7(2). 25257–25257.
3.
Firdaus, Ahmad, et al.. (2024). The Rise of Deep Learning in Cyber Security: Bibliometric Analysis of Deep Learning and Malware. SHILAP Revista de lepidopterología. 8(3). 1398–1398. 1 indexed citations
4.
Mostafa, Salama A., et al.. (2024). Suicide prospective prediction based on pattern analysis of suicide factor. AIP conference proceedings. 2919. 50005–50005.
5.
Kasim, Shahreen, et al.. (2023). Carbon Sequestration Through Forestry: A Differential Equation Approach. 2023. 88–92. 1 indexed citations
7.
Fudzee, Mohd Farhan Md, et al.. (2023). Analysis of How Scalable Features in Hadoop / MapReduce by Internet Traffic Management. International Journal on Advanced Science Engineering and Information Technology. 13(1). 365–370. 1 indexed citations
8.
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
9.
Saedudin, Rd. Rohmat, et al.. (2019). Research on Missing Data Imputation Methods on Gene Expression. International Journal on Advanced Science Engineering and Information Technology. 9(2). 1 indexed citations
10.
Zakaria, Zalmiyah, et al.. (2019). Vista Angkasa Apartment Management System. 1(2). 76–84.
11.
Kasim, Shahreen, et al.. (2019). A Review on Feature Based Approach in Semantic Similarity for Multiple Ontology. Lecture notes in electrical engineering. 457–465. 2 indexed citations
12.
Phon, Danakorn Nincarean Eh, et al.. (2019). The Effect of Augmented Reality on Spatial Visualization Ability of Elementary School Student. International Journal on Advanced Science Engineering and Information Technology. 9(2). 624–624. 18 indexed citations
13.
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
14.
Kasim, Shahreen, et al.. (2017). A Hybrid of Integer Differential Bees and Flux Balance Analysis for Improving Succinate and Lactate Production. International Journal on Advanced Science Engineering and Information Technology. 7(4-2). 1615–1615. 1 indexed citations
15.
Hassan, Rohayanti, et al.. (2017). A review on shoreline detection framework using remote sensing satellite image. 7(2). 3 indexed citations
16.
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
17.
Chan, Weng Howe, Mohd Saberi Mohamad, Safaai Deris, et al.. (2016). Identification of informative genes and pathways using an improved penalized support vector machine with a weighting scheme. Computers in Biology and Medicine. 77. 102–115. 15 indexed citations
18.
Mahdin, Hairulnizam, et al.. (2016). Minimizing Heatstroke Incidents for Young Children Left inside Vehicle. IOP Conference Series Materials Science and Engineering. 160(1). 12094–12094. 9 indexed citations
19.
Kasim, Shahreen, Safaai Deris, & Razib M. Othman. (2013). Multi-stage filtering for improving confidence level and determining dominant clusters in clustering algorithms of gene expression data. Computers in Biology and Medicine. 43(9). 1120–1133. 11 indexed citations
20.
Othman, Razib M., et al.. (2010). Utilizing shared interacting domain patterns and Gene Ontology information to improve protein–protein interaction prediction. Computers in Biology and Medicine. 40(6). 555–564. 10 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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