Aida Ali
Impact in
- Artificial Intelligence top 10%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Imbalanced Data Classification Techniques 3
- AI in cancer detection 2
- Co-authors
- Siti Mariyam Shamsuddin (4 shared papers)Anca Ralescu (3 shared papers)Roselina Sallehuddin (3 shared papers)Dzulkifli Mohamad (1 shared paper)Siti Zaiton Mohd Hashim (1 shared paper)Mohammed Hazim Alkawaz (1 shared paper)Siti Mariyam Shamsuddin (5 shared papers)Md Pauzi Abdullah (1 shared paper)
- Journals
- Measurement (1 paper)Multimedia Tools and Applications (1 paper)IEEE Access (1 paper)Photonic Sensors (1 paper)Sensors (1 paper)
- Partner nations
- MalaysiaEgyptUnited States
In The Last Decade
Aida Ali
19 papers receiving 364 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 197
- Health Information Management 23
- Signal Processing 35
- Accounting 32
- Computer Vision and Pattern Recognition 55
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 20 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Classification with class imbalance problem: A review | 2015 | 253 |
| 2 | 2015 | 31 | |
| 3 | 2021 | 30 | |
| 4 | 2014 | 18 | |
| 5 | 2020 | 12 | |
| 6 | 2009 | 9 | |
| 7 | 2025 | 8 | |
| 8 | Predictive modelling for motor insurance claims using artificial neural networks | 2016 | 8 |
| 9 | 2017 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2012 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2011 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2009 | 1 |
About Aida Ali
Aida Ali is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Health Information Management, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 394 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Imbalanced Data Classification Techniques (3 papers), Industrial Vision Systems and Defect Detection (2 papers), Robot Manipulation and Learning (2 papers), Advanced Measurement and Metrology Techniques (2 papers), Fault Detection and Control Systems (2 papers), AI in cancer detection (2 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Artificial Intelligence (197 citations), Health Information Management (23 citations), Signal Processing (35 citations), Accounting (32 citations) and Computer Vision and Pattern Recognition (55 citations). Aida Ali has collaborated with scholars based in Malaysia, Egypt and United States. Frequent co-authors include Siti Mariyam Shamsuddin, Anca Ralescu, Roselina Sallehuddin, Dzulkifli Mohamad, Siti Zaiton Mohd Hashim, Mohammed Hazim Alkawaz, Siti Mariyam Shamsuddin, Md Pauzi Abdullah, Faridah Hussin and Noriszura Ismail. Their work appears in journals such as Measurement, Multimedia Tools and Applications, IEEE Access, Photonic Sensors 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.