Moloud Abdar
Impact in
- Health Information Management top 0.05%
- Artificial Intelligence in Healthcare
- Health Informatics top 1%
Papers in
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- Imbalanced Data Classification Techniques 19
- Machine Learning and Data Classification 7
- AI in cancer detection 7
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- Artificial Intelligence in Healthcare 19
- Co-authors
- U. Rajendra Acharya (29 shared papers)Vladimir Makarenkov (15 shared papers)Abbas Khosravi (28 shared papers)Saeid Nahavandi (23 shared papers)Mohammad Ehsan Basiri (12 shared papers)Paweł Pławiak (15 shared papers)Shahla Nemati (6 shared papers)Farhad Pourpanah (5 shared papers)
In The Last Decade
Moloud Abdar
82 papers receiving 5.7k citations
Moloud Abdar's Hit Papers
Peers
Comparison fields: 5 of 196
- Health Information Management 910
- Health Informatics 146
- Artificial Intelligence 3.0k
- Medical Laboratory Technology 60
- Computer Vision and Pattern Recognition 740
Countries citing papers authored by Moloud Abdar
This map shows the geographic impact of Moloud Abdar'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 Moloud Abdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moloud Abdar more than expected).
Fields of papers citing papers by Moloud Abdar
This network shows the impact of papers produced by Moloud Abdar. 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 Moloud Abdar. The network helps show where Moloud Abdar may publish in the future.
Co-authors
The 25 scholars most cited alongside Moloud Abdar, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review of uncertainty quantification in deep learning: Techniques, applications and challenges Hit paper breakdown → | 2021 | 1491 |
| 2 | ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis Hit paper breakdown → | 2020 | 519 |
| 3 | A new machine learning technique for an accurate diagnosis of coronary artery disease Hit paper breakdown → | 2019 | 248 |
| 4 | A Review of Generalized Zero-Shot Learning Methods Hit paper breakdown → | 2022 | 239 |
| 5 | 2020 | 184 | |
| 6 | 2021 | 179 | |
| 7 | 2019 | 177 | |
| 8 | 2018 | 176 | |
| 9 | 2019 | 138 | |
| 10 | 2021 | 133 | |
| 11 | 2016 | 114 | |
| 12 | 2019 | 113 | |
| 13 | 2020 | 98 | |
| 14 | 2022 | 96 | |
| 15 | 2019 | 95 | |
| 16 | 2017 | 88 | |
| 17 | 2018 | 87 | |
| 18 | 2020 | 80 | |
| 19 | 2020 | 77 | |
| 20 | 2022 | 76 |
About Moloud Abdar
Moloud Abdar is a scholar working on Artificial Intelligence, Health Information Management, Information Systems, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, having authored 85 papers that have together received 6.0k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (19 papers), Imbalanced Data Classification Techniques (19 papers), Data Mining Algorithms and Applications (9 papers), Transportation and Mobility Innovations (7 papers), Machine Learning and Data Classification (7 papers), ECG Monitoring and Analysis (7 papers), Sharing Economy and Platforms (7 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Health Information Management (910 citations), Health Informatics (146 citations), Artificial Intelligence (3.0k citations), Medical Laboratory Technology (60 citations) and Computer Vision and Pattern Recognition (740 citations). Moloud Abdar has collaborated with scholars based in Australia, Iran and Canada. Frequent co-authors include U. Rajendra Acharya, Vladimir Makarenkov, Abbas Khosravi, Saeid Nahavandi, Mohammad Ehsan Basiri, Paweł Pławiak, Shahla Nemati, Farhad Pourpanah, Sadiq Hussain and Mariam Zomorodi‐Moghadam. Their work appears in journals such as Knowledge-Based Systems, IEEE Access, Information Fusion, Information Sciences and Applied Soft Computing.
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.