Sunil Aryal

2.5k total citations · 3 hit papers
66 papers, 1.1k citations indexed

About

Sunil Aryal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Sunil Aryal has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 10 papers in Signal Processing. Recurrent topics in Sunil Aryal's work include Anomaly Detection Techniques and Applications (16 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Network Security and Intrusion Detection (7 papers). Sunil Aryal is often cited by papers focused on Anomaly Detection Techniques and Applications (16 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Network Security and Intrusion Detection (7 papers). Sunil Aryal collaborates with scholars based in Australia, Bangladesh and United States. Sunil Aryal's co-authors include Md. Ashraf Uddin, Chiranjibi Sitaula, Md. Alamin Talukder, Richard Dazeley, Md. Manowarul Islam, Kai Ming Ting, Mohammed Nasir Uddin, Ansam Khraisat, Rajib Kumar Halder and Mohamed Reda Bouadjenek and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Sunil Aryal

65 papers receiving 1.1k citations

Hit Papers

An efficient deep learning model to categorize brain tumo... 2023 2026 2024 2025 2023 2024 2025 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sunil Aryal Australia 19 481 259 140 119 114 66 1.1k
Diyar Qader Zeebaree Iraq 14 646 1.3× 360 1.4× 308 2.2× 125 1.1× 113 1.0× 25 1.3k
T R Mahesh India 21 529 1.1× 235 0.9× 309 2.2× 180 1.5× 124 1.1× 163 1.4k
Rupesh Gupta India 20 245 0.5× 233 0.9× 162 1.2× 83 0.7× 72 0.6× 210 1.3k
Pundru Chandra Shaker Reddy India 23 421 0.9× 113 0.4× 123 0.9× 128 1.1× 158 1.4× 93 1.1k
Sanyam Shukla India 17 836 1.7× 301 1.2× 148 1.1× 44 0.4× 120 1.1× 55 1.5k
Nagwan Abdel Samee Saudi Arabia 20 617 1.3× 348 1.3× 280 2.0× 232 1.9× 68 0.6× 101 1.3k
Ashit Kumar Dutta Saudi Arabia 15 302 0.6× 180 0.7× 109 0.8× 63 0.5× 159 1.4× 159 1.1k
Manar Ahmed Hamza Saudi Arabia 16 333 0.7× 199 0.8× 86 0.6× 51 0.4× 226 2.0× 140 998
Gaurav Gupta India 19 376 0.8× 252 1.0× 224 1.6× 182 1.5× 148 1.3× 88 1.4k
Vatsala Anand India 18 454 0.9× 291 1.1× 294 2.1× 148 1.2× 88 0.8× 165 1.5k

Countries citing papers authored by Sunil Aryal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sunil Aryal

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Aryal. A scholar is included among the top collaborators of Sunil Aryal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sunil Aryal. Sunil Aryal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Neupane, Dhiraj, Mohamed Reda Bouadjenek, Richard Dazeley, & Sunil Aryal. (2025). Data-driven machinery fault diagnosis: A comprehensive review. Neurocomputing. 627. 129588–129588. 26 indexed citations breakdown →
2.
Bouadjenek, Mohamed Reda, et al.. (2025). Handling Out-of-Distribution Data: A Survey. IEEE Transactions on Knowledge and Data Engineering. 37(10). 5948–5966. 1 indexed citations
3.
Uddin, Md. Ashraf, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, & Md. Alamin Talukder. (2025). Hierarchical classification for intrusion detection system: Effective design and empirical analysis. Ad Hoc Networks. 178. 103982–103982. 1 indexed citations
4.
Neupane, Dhiraj, Mohamed Reda Bouadjenek, Richard Dazeley, & Sunil Aryal. (2024). Data-Driven Machinery Fault Detection: A Comprehensive Review. SSRN Electronic Journal. 11 indexed citations
5.
Halder, Rajib Kumar, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal, & Ansam Khraisat. (2024). Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications. Journal Of Big Data. 11(1). 104 indexed citations breakdown →
6.
Uddin, Md. Ashraf, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, & Md. Alamin Talukder. (2024). A dual-tier adaptive one-class classification IDS for emerging cyberthreats. Computer Communications. 229. 108006–108006. 8 indexed citations
7.
Eklund, Peter, et al.. (2024). Frame Selection Using Spatiotemporal Dynamics and Key Features as Input Pre-processing for Video Super-Resolution Models. SN Computer Science. 5(3). 3 indexed citations
8.
Halder, Rajib Kumar, et al.. (2024). ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application. Journal of Pathology Informatics. 15. 100371–100371. 24 indexed citations
9.
Abdelrazek, Mohamed, et al.. (2023). An overview of Eulerian video motion magnification methods. Computers & Graphics. 117. 145–163. 2 indexed citations
10.
Islam, Md. Manowarul, Md. Ashraf Uddin, Md. Alamin Talukder, et al.. (2023). Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data. Genes. 14(9). 1802–1802. 10 indexed citations
11.
Neupane, Dhiraj, et al.. (2023). Shine: A deep learning-based accessible parking management system. Expert Systems with Applications. 238. 122205–122205. 12 indexed citations
12.
Halder, Rajib Kumar, Mohammed Nasir Uddin, Md. Ashraf Uddin, et al.. (2023). A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4—Methylcytosine Using Deep Learning Approach. Genes. 14(3). 582–582. 4 indexed citations
13.
Uddin, Md. Ashraf, et al.. (2023). An ensemble machine learning based bank loan approval predictions system with a smart application. SHILAP Revista de lepidopterología. 4. 327–339. 26 indexed citations
14.
Islam, Md. Manowarul, Md. Alamin Talukder, Md. Ashraf Uddin, et al.. (2023). A robust and clinically applicable deep learning model for early detection of Alzheimer's. IET Image Processing. 17(14). 3959–3975. 23 indexed citations
15.
Ma, Jiangang, et al.. (2023). Detection and explanation of anomalies in healthcare data. Health Information Science and Systems. 11(1). 20–20. 17 indexed citations
16.
Aryal, Sunil, et al.. (2022). Overcoming weaknesses of density peak clustering using a data-dependent similarity measure. Pattern Recognition. 137. 109287–109287. 15 indexed citations
17.
Nguyen, Thanh Thi, Mohamed Abdelrazek, Dung T. Nguyen, et al.. (2022). Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence. SHILAP Revista de lepidopterología. 9. 100328–100328. 5 indexed citations
18.
Sitaula, Chiranjibi, et al.. (2022). A Fusion of Handcrafted Features and Deep Learning Classifiers for Heart Murmur Detection. Computing in cardiology. 49. 5 indexed citations
19.
Sitaula, Chiranjibi, et al.. (2021). Content and context features for scene image representation. Knowledge-Based Systems. 232. 107470–107470. 17 indexed citations
20.
Sitaula, Chiranjibi & Sunil Aryal. (2020). Fusion of whole and part features for the classification of histopathological image of breast tissue. Health Information Science and Systems. 8(1). 38–38. 18 indexed citations

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.

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