Sunil Aryal
Impact in
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- Artificial Intelligence in Healthcare
- Health Informatics top 5%
Papers in
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- Anomaly Detection Techniques and Applications 17
- Imbalanced Data Classification Techniques 5
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- Advanced Image and Video Retrieval Techniques 8
- Image Retrieval and Classification Techniques 6
- Advanced Image Processing Techniques 5
- Advanced Vision and Imaging 5
- Co-authors
- Md. Ashraf Uddin (21 shared papers)Chiranjibi Sitaula (10 shared papers)Md. Alamin Talukder (13 shared papers)Richard Dazeley (12 shared papers)Mohammed Nasir Uddin (4 shared papers)Ansam Khraisat (4 shared papers)Rajib Kumar Halder (3 shared papers)Md. Manowarul Islam (8 shared papers)
- Journals
- Neurocomputing (4 papers)Knowledge and Information Systems (4 papers)Expert Systems with Applications (3 papers)Health Information Science and Systems (3 papers)PeerJ Computer Science (2 papers)
- Partner nations
- AustraliaBangladeshUnited States
In The Last Decade
Sunil Aryal
65 papers receiving 1.2k citations
Sunil Aryal's Hit Papers
Peers
Comparison fields: 5 of 141
- Health Information Management 98
- Health Informatics 25
- Neurology 118
- Artificial Intelligence 481
- Computer Vision and Pattern Recognition 266
Countries citing papers authored by Sunil Aryal
This map shows the geographic impact of Sunil Aryal'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 Sunil Aryal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Aryal more than expected).
Fields of papers citing papers by Sunil Aryal
This network shows the impact of papers produced by Sunil Aryal. 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 Sunil Aryal. The network helps show where Sunil Aryal may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunil Aryal, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications Hit paper breakdown → | 2024 | 157 |
| 2 | An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning Hit paper breakdown → | 2023 | 114 |
| 3 | 2021 | 71 | |
| 4 | 2022 | 59 | |
| 5 | 2023 | 53 | |
| 6 | 2023 | 45 | |
| 7 | 2024 | 43 | |
| 8 | Data-driven machinery fault diagnosis: A comprehensive review Hit paper breakdown → | 2025 | 40 |
| 9 | 2021 | 32 | |
| 10 | 2023 | 29 | |
| 11 | 2021 | 29 | |
| 12 | 2024 | 29 | |
| 13 | 2023 | 28 | |
| 14 | 2022 | 27 | |
| 15 | 2023 | 26 | |
| 16 | 2016 | 26 | |
| 17 | 2021 | 22 | |
| 18 | 2023 | 21 | |
| 19 | 2023 | 20 | |
| 20 | 2023 | 19 |
About Sunil Aryal
Sunil Aryal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications and Media Technology, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (17 papers), Advanced Image and Video Retrieval Techniques (8 papers), Network Security and Intrusion Detection (7 papers), Image Retrieval and Classification Techniques (6 papers), Advanced Image Processing Techniques (5 papers), COVID-19 diagnosis using AI (5 papers), Imbalanced Data Classification Techniques (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Health Information Management (98 citations), Health Informatics (25 citations), Neurology (118 citations), Artificial Intelligence (481 citations) and Computer Vision and Pattern Recognition (266 citations). Sunil Aryal has collaborated with scholars based in Australia, Bangladesh and United States. Frequent co-authors include Md. Ashraf Uddin, Chiranjibi Sitaula, Md. Alamin Talukder, Richard Dazeley, Mohammed Nasir Uddin, Ansam Khraisat, Rajib Kumar Halder, Md. Manowarul Islam, Mohamed Reda Bouadjenek and Kai Ming Ting. Their work appears in journals such as Neurocomputing, Knowledge and Information Systems, Expert Systems with Applications, Health Information Science and Systems and PeerJ Computer Science.
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.