Shahreen Kasim
- Information Systems top 5%
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- Artificial Intelligence in Healthcare 7
- Artificial Intelligence top 5%
- Advanced Text Analysis Techniques 6
- Signal Processing top 10%
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- Network Security and Intrusion Detection 8
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- Gene expression and cancer classification 21
- Machine Learning in Bioinformatics 16
- Bioinformatics and Genomic Networks 16
- Microbial Metabolic Engineering and Bioproduction 6
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- Face and Expression Recognition 6
- Co-authors
- Tole SutiknoRohayanti HassanMohd Arfian IsmailMohd Saberi MohamadMohd Farhan Md FudzeeRd. Rohmat SaedudinSafaai DerisHairulnizam Mahdin
- Journals
- SHILAP Revista de lepidopterología (16 papers)IEEE Access (3 papers)BMC Bioinformatics (1 paper)
In The Last Decade
Shahreen Kasim
129 papers receiving 829 citations
Peers
Comparison fields: 5 of 122
- Information Systems 244
- Health Information Management 50
- Artificial Intelligence 250
- Signal Processing 78
- Computer Networks and Communications 152
Countries citing papers authored by Shahreen Kasim
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
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
The 25 scholars most cited alongside Shahreen Kasim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 1 | |
| 8 | Topologically significant directed random walk with applied walker network in cancer environment. | 2019 | 1 |
| 9 | 2019 | 1 | |
| 10 | 2019 | 0 | |
| 11 | 2019 | 2 | |
| 12 | 2019 | 18 | |
| 13 | 2018 | 17 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 3 | |
| 16 | 2017 | 8 | |
| 17 | 2016 | 15 | |
| 18 | 2016 | 9 | |
| 19 | 2013 | 11 | |
| 20 | 2010 | 10 |
About Shahreen Kasim
Shahreen Kasim is a scholar working on Health Information Management, Information Systems and Artificial Intelligence, having authored 142 papers that have together received 899 indexed citations. Recurring topics across this work include Gene expression and cancer classification (21 papers), Machine Learning in Bioinformatics (16 papers), Bioinformatics and Genomic Networks (16 papers), Network Security and Intrusion Detection (8 papers), Artificial Intelligence in Healthcare (7 papers), Face and Expression Recognition (6 papers), Advanced Text Analysis Techniques (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). The work is most often cited by research in Information Systems (244 citations), Health Information Management (50 citations) and Artificial Intelligence (250 citations). Shahreen Kasim has collaborated with scholars based in Malaysia, Indonesia and Iraq. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and BMC Bioinformatics.
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.