Aida Ali
Impact in
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- Artificial Intelligence in Healthcare
- Artificial Intelligence top 10%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
Papers in
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- Imbalanced Data Classification Techniques 3
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- Energy Load and Power Forecasting 2
- Co-authors
- Siti Mariyam Shamsuddin (6 shared papers)Anca Ralescu (3 shared papers)Siti Mariyam Shamsuddin (5 shared papers)Dzulkifli Mohamad (1 shared paper)Mohammed Hazim Alkawaz (1 shared paper)Siti Zaiton Mohd Hashim (1 shared paper)Faridah Hussin (1 shared paper)Md Pauzi Abdullah (1 shared paper)
- Journals
- Sensors (1 paper)Measurement (1 paper)Multimedia Tools and Applications (1 paper)Neural Computing and Applications (1 paper)Results in Engineering (1 paper)
- Partner nations
- MalaysiaEgyptUnited States
In The Last Decade
Aida Ali
22 papers receiving 412 citations
Peers
Comparison fields: 5 of 114
- Health Information Management 37
- Artificial Intelligence 225
- Accounting 42
- Signal Processing 37
- Computer Vision and Pattern Recognition 70
Countries citing papers authored by Aida Ali
This map shows the geographic impact of Aida Ali'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 Aida Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aida Ali more than expected).
Fields of papers citing papers by Aida Ali
This network shows the impact of papers produced by Aida Ali. 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 Aida Ali. The network helps show where Aida Ali may publish in the future.
Co-authors
The 22 scholars most cited alongside Aida Ali, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Classification with class imbalance problem: A review | 2015 | 279 |
| 2 | 2015 | 34 | |
| 3 | 2019 | 25 | |
| 4 | 2014 | 19 | |
| 5 | 2009 | 13 | |
| 6 | 2020 | 12 | |
| 7 | 2025 | 11 | |
| 8 | Predictive modelling for motor insurance claims using artificial neural networks | 2016 | 11 |
| 9 | 2010 | 6 | |
| 10 | 2017 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2025 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2012 | 3 | |
| 15 | 2018 | 2 | |
| 16 | 2011 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2020 | 1 |
About Aida Ali
Aida Ali is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering, Health Information Management and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 442 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (3 papers), Artificial Intelligence in Healthcare (3 papers), Gene expression and cancer classification (2 papers), Energy Load and Power Forecasting (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Financial Distress and Bankruptcy Prediction (2 papers), Network Security and Intrusion Detection (2 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Health Information Management (37 citations), Artificial Intelligence (225 citations), Accounting (42 citations), Signal Processing (37 citations) and Computer Vision and Pattern Recognition (70 citations). Aida Ali has collaborated with scholars based in Malaysia, Egypt and United States. Frequent co-authors include Siti Mariyam Shamsuddin, Anca Ralescu, Siti Mariyam Shamsuddin, Dzulkifli Mohamad, Mohammed Hazim Alkawaz, Siti Zaiton Mohd Hashim, Faridah Hussin, Md Pauzi Abdullah, M. Y. Hassan and Siti Sophiayati Yuhaniz. Their work appears in journals such as Sensors, Measurement, Multimedia Tools and Applications, Neural Computing and Applications and Results in Engineering.
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.