Hala Alshamlan
Impact in
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications
- AI in cancer detection
- Metaheuristic Optimization Algorithms Research
- Machine Learning and Data Classification
- Health Information Management top 10%
Papers in
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- Gene expression and cancer classification 14
- Machine Learning in Bioinformatics 11
- Bioinformatics and Genomic Networks 9
- Genetics, Bioinformatics, and Biomedical Research 2
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- Evolutionary Algorithms and Applications 4
- AI in cancer detection 4
- Co-authors
- Yousef Al-Ohali (5 shared papers)Ghada Badr (5 shared papers)Ali El‐Zaart (1 shared paper)Samar Omar (1 shared paper)
- Journals
- IEEE Access (3 papers)Saudi Journal of Biological Sciences (2 papers)Computers, materials & continua/Computers, materials & continua (Print) (2 papers)Applied Sciences (1 paper)Sensors (1 paper)
- Partner nations
- Saudi ArabiaCanadaEgypt
In The Last Decade
Hala Alshamlan
21 papers receiving 491 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 296
- Health Information Management 22
- Molecular Biology 325
- Computer Vision and Pattern Recognition 88
- Computational Mathematics 1
Countries citing papers authored by Hala Alshamlan
This map shows the geographic impact of Hala Alshamlan'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 Hala Alshamlan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hala Alshamlan more than expected).
Fields of papers citing papers by Hala Alshamlan
This network shows the impact of papers produced by Hala Alshamlan. 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 Hala Alshamlan. The network helps show where Hala Alshamlan may publish in the future.
Co-authors
The 4 scholars most cited alongside Hala Alshamlan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 164 | |
| 2 | 2015 | 155 | |
| 3 | 2016 | 40 | |
| 4 | 2018 | 30 | |
| 5 | 2010 | 30 | |
| 6 | 2022 | 21 | |
| 7 | 2014 | 15 | |
| 8 | 2023 | 11 | |
| 9 | 2024 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2024 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2020 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 2 | |
| 19 | A Review of Effective Gene Selection Methods for Cancer Classification Using Microarray Gene Expression Profile | 2014 | 2 |
| 20 | 2021 | 2 |
About Hala Alshamlan
Hala Alshamlan is a scholar working on Molecular Biology, Artificial Intelligence, Health Information Management, Information Systems and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 522 indexed citations. Recurring topics across this work include Gene expression and cancer classification (14 papers), Machine Learning in Bioinformatics (11 papers), Bioinformatics and Genomic Networks (9 papers), Evolutionary Algorithms and Applications (4 papers), AI in cancer detection (4 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Artificial Intelligence in Healthcare (2 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (296 citations), Health Information Management (22 citations), Molecular Biology (325 citations), Computer Vision and Pattern Recognition (88 citations) and Computational Mathematics (1 citation). Hala Alshamlan has collaborated with scholars based in Saudi Arabia, Canada and Egypt. Frequent co-authors include Yousef Al-Ohali, Ghada Badr, Ali El‐Zaart and Samar Omar. Their work appears in journals such as IEEE Access, Saudi Journal of Biological Sciences, Computers, materials & continua/Computers, materials & continua (Print), Applied Sciences and Sensors.
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.