Chaminda Hewage

2.9k total citations · 2 hit papers
77 papers, 1.6k citations indexed

About

Chaminda Hewage is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Chaminda Hewage has authored 77 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 36 papers in Signal Processing and 18 papers in Information Systems. Recurrent topics in Chaminda Hewage's work include Image and Video Quality Assessment (36 papers), Video Coding and Compression Technologies (32 papers) and Advanced Data Compression Techniques (14 papers). Chaminda Hewage is often cited by papers focused on Image and Video Quality Assessment (36 papers), Video Coding and Compression Technologies (32 papers) and Advanced Data Compression Techniques (14 papers). Chaminda Hewage collaborates with scholars based in United Kingdom, India and Sri Lanka. Chaminda Hewage's co-authors include Maria G. Martini, A.M. Kondoz, Imtiaz Khan, Stewart Worrall, Safak Dogan, Liqaa Nawaf, S.L.P. Yasakethu, Edmond Prakash, W.A.C. Fernando and Nisha Rawindaran and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Chaminda Hewage

71 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Phishing Attacks: A Recent Comprehensive Study and a New Anatomy

2021 220 citations Chaminda Hewage et al. profile →
Cybersecurity, Data Privacy and Blockchain: A Review

2022 98 citations Nisha Rawindaran, Edmond Prakash et al. SN Computer Science profile →

Peers

Chaminda Hewage

CVPR

SP

IS

CNC

MT

Leilani Battle United States

Craig Valli Australia

Katrin Franke Norway

Demóstenes Zegarra Rodríguez Brazil

Aladdin Ayesh United Kingdom

Hui He China

Lifeng Sun China

Mike Perkowitz United States

Ammar Almomani Jordan

Juan Tapiador Spain

Leilani Battle United States

Chaminda Hewage

500 ×0.6

CVPR

219 ×0.4

SP

199 ×0.5

IS

460 ×1.5

CNC

141 ×0.5

MT

Citations per year, relative to Chaminda Hewage Chaminda Hewage (= 1×) peers Leilani Battle

Countries citing papers authored by Chaminda Hewage

Since Specialization

Citations

This map shows the geographic impact of Chaminda Hewage'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 Chaminda Hewage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaminda Hewage more than expected).

Fields of papers citing papers by Chaminda Hewage

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaminda Hewage. 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 Chaminda Hewage. The network helps show where Chaminda Hewage may publish in the future.

Co-authorship network of co-authors of Chaminda Hewage

This figure shows the co-authorship network connecting the top 25 collaborators of Chaminda Hewage. A scholar is included among the top collaborators of Chaminda Hewage 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 Chaminda Hewage. Chaminda Hewage is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Herath, H.M.K.K.M.B., Nuwan Madusanka, S.L.P. Yasakethu, Chaminda Hewage, & Byeong-Il Lee. (2025). Biomimetic Robotics and Sensing for Healthcare Applications and Rehabilitation: A Systematic Review. Biomimetics. 10(7). 466–466.

2.

Singh, C.S., et al.. (2025). Federated Genetic Optimization for Secure and Privacy-Preserving Sensor Localization in Consumer IoT Applications. IEEE Transactions on Consumer Electronics. 72(1). 1430–1440.

3.

Akkad, Nabil El, et al.. (2024). Enhancing automated vehicle identification by integrating YOLO v8 and OCR techniques for high-precision license plate detection and recognition. Scientific Reports. 14(1). 14389–14389. 22 indexed citations

4.

Zafar, Mohammad Haseeb, et al.. (2023). The Advents of Ubiquitous Computing in the Development of Smart Cities—A Review on the Internet of Things (IoT). Electronics. 12(4). 1032–1032. 8 indexed citations

5.

Samanta, Debabrata, et al.. (2023). Design and Development of Artificial Intelligence Knowledge Processing System for Optimizing Security of Software System. SN Computer Science. 4(4). 3 indexed citations

6.

Usman, Muhammad Arslan, et al.. (2023). Threshold Cryptography-Based Secure Vehicle-to-Everything (V2X) Communication in 5G-Enabled Intelligent Transportation Systems. Future Internet. 15(5). 157–157. 7 indexed citations

7.

Jain, Harsh, et al.. (2023). Machine-Learning-Based Spam Mail Detector. SN Computer Science. 4(6). 4 indexed citations

8.

Carroll, Fiona, et al.. (2023). The Journey to Making ‘Digital Technology’ Education a Community Learning Venture. Education Sciences. 13(5). 428–428. 5 indexed citations

9.

Hewage, Chaminda, et al.. (2023). Data Protection in a Post-Pandemic Society. 1 indexed citations

10.

Surianarayanan, Chellammal, et al.. (2023). Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders—A Scoping Review. Sensors. 23(6). 3062–3062. 45 indexed citations

11.

Hewage, Chaminda, et al.. (2022). Measuring, Modeling and Integrating Time-Varying Video Quality in End-to-End Multimedia Service Delivery: A Review and Open Challenges. IEEE Access. 10. 60267–60293. 5 indexed citations

12.

Hewage, Chaminda, et al.. (2022). The Normative Power of the GDPR: A Case Study of Data Protection Laws of South Asian Countries. SN Computer Science. 3(3). 17 indexed citations

13.

Rawindaran, Nisha, Ambikesh Jayal, Edmond Prakash, & Chaminda Hewage. (2021). Cost Benefits of Using Machine Learning Features in NIDS for Cyber Security in UK Small Medium Enterprises (SME). Future Internet. 13(8). 186–186. 19 indexed citations

14.

Arachchi, Hemantha Kodikara, et al.. (2020). A Decoding-Complexity and Rate-Controlled Video-Coding Algorithm for HEVC. Future Internet. 12(7). 120–120. 12 indexed citations

15.

Hewage, Chaminda, et al.. (2019). Quality of Experience (QoE)-Aware Fast Coding Unit Size Selection for HEVC Intra-Prediction. Future Internet. 11(8). 175–175. 3 indexed citations

16.

Hewage, Chaminda. (2014). 3D Video Processing and Transmission Fundamentals. Research Repository (Kingston University London).

17.

Hewage, Chaminda, et al.. (2010). Prioritized 3D video distribution over IEEE 802.11e. Future Network & Mobile Summit. 1–9. 8 indexed citations

18.

Martini, Maria G. & Chaminda Hewage. (2010). Flexible Macroblock Ordering for Context-Aware Ultrasound Video Transmission over Mobile WiMAX. International Journal of Telemedicine and Applications. 2010. 1–14. 26 indexed citations

19.

Hewage, Chaminda & Stewart Worrall. (2009). Robust 3D video communications. Research Repository (Kingston University London). 1 indexed citations

20.

Yasakethu, S.L.P., Chaminda Hewage, W.A.C. Fernando, & A.M. Kondoz. (2008). Quality analysis for 3D video using 2D video quality models. IEEE Transactions on Consumer Electronics. 54(4). 1969–1976. 133 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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