Chathurika S. Wickramasinghe

884 total citations
31 papers, 563 citations indexed

About

Chathurika S. Wickramasinghe is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Chathurika S. Wickramasinghe has authored 31 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 15 papers in Control and Systems Engineering and 10 papers in Computer Networks and Communications. Recurrent topics in Chathurika S. Wickramasinghe's work include Anomaly Detection Techniques and Applications (15 papers), Smart Grid Security and Resilience (11 papers) and Network Security and Intrusion Detection (10 papers). Chathurika S. Wickramasinghe is often cited by papers focused on Anomaly Detection Techniques and Applications (15 papers), Smart Grid Security and Resilience (11 papers) and Network Security and Intrusion Detection (10 papers). Chathurika S. Wickramasinghe collaborates with scholars based in United States. Chathurika S. Wickramasinghe's co-authors include Milos Manic, Daniel Marino, Kasun Amarasinghe, Craig Rieger, Vivek Kumar Singh, Philip R. K. Richardson, Ananth A. Jillepalli, Kathryn L. Holloway, Barney Carlson and Brian K. Johnson and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Industrial Informatics.

In The Last Decade

Chathurika S. Wickramasinghe

29 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chathurika S. Wickramasinghe United States 14 306 186 177 63 61 31 563
Christos Dimitrakakis Sweden 11 322 1.1× 137 0.7× 83 0.5× 96 1.5× 59 1.0× 52 600
Hamza Kheddar Algeria 12 262 0.9× 125 0.7× 55 0.3× 40 0.6× 133 2.2× 42 560
Vandana Roy India 14 126 0.4× 121 0.7× 50 0.3× 63 1.0× 105 1.7× 47 781
Zhuangdi Zhu United States 8 269 0.9× 112 0.6× 76 0.4× 158 2.5× 72 1.2× 17 647
Kerstin Eder United Kingdom 12 123 0.4× 112 0.6× 73 0.4× 123 2.0× 16 0.3× 64 469
Shakila Basheer Saudi Arabia 17 224 0.7× 224 1.2× 50 0.3× 158 2.5× 57 0.9× 81 839
Rafia Inam Sweden 13 98 0.3× 161 0.9× 74 0.4× 82 1.3× 10 0.2× 46 509
Kee-Eung Kim South Korea 16 565 1.8× 110 0.6× 107 0.6× 70 1.1× 33 0.5× 63 941
Alaeddine Mihoub Saudi Arabia 10 155 0.5× 209 1.1× 72 0.4× 86 1.4× 110 1.8× 30 571
Michele Colledanchise Sweden 11 465 1.5× 80 0.4× 190 1.1× 18 0.3× 27 0.4× 24 784

Countries citing papers authored by Chathurika S. Wickramasinghe

Since Specialization
Citations

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

Fields of papers citing papers by Chathurika S. Wickramasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chathurika S. Wickramasinghe. 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 Chathurika S. Wickramasinghe. The network helps show where Chathurika S. Wickramasinghe may publish in the future.

Co-authorship network of co-authors of Chathurika S. Wickramasinghe

This figure shows the co-authorship network connecting the top 25 collaborators of Chathurika S. Wickramasinghe. A scholar is included among the top collaborators of Chathurika S. Wickramasinghe 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 Chathurika S. Wickramasinghe. Chathurika S. Wickramasinghe 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.
Wickramasinghe, Chathurika S., et al.. (2025). IEEE Industrial Electronics Society Young Professionals: Meet the IES Young Professionals Team and Learn About Our Plans for 2025 [Students and Young Professionals News]. IEEE Industrial Electronics Magazine. 19(2). 89–94. 1 indexed citations
2.
Wickramasinghe, Chathurika S.. (2025). From Vision to Action: The 2025 Rise of IEEE IES Young Professionals [Students and Young Professionals News]. IEEE Industrial Electronics Magazine. 19(4). 79–83.
3.
Marino, Daniel, Chathurika S. Wickramasinghe, Craig Rieger, & Milos Manic. (2025). Self-Supervised and Interpretable Anomaly Detection Using Network Transformers. IEEE Transactions on Industrial Informatics. 21(5). 4252–4261.
4.
Wickramasinghe, Chathurika S., et al.. (2024). Cy-Phy ADS: Cyber-Physical Anomaly Detection Framework for EV Charging Systems. IEEE Transactions on Transportation Electrification. 10(4). 9904–9917. 12 indexed citations
5.
Wickramasinghe, Chathurika S., et al.. (2024). Generative AI in Cyber Security of Cyber Physical Systems: Benefits and Threats. 1–8. 7 indexed citations
6.
Wickramasinghe, Chathurika S., et al.. (2023). RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data. IEEE Transactions on Intelligent Transportation Systems. 24(12). 14051–14063. 17 indexed citations
7.
Wickramasinghe, Chathurika S., et al.. (2023). Physical Anomaly Detection in EV Charging Stations: Physics-based vs ResNet AE. 1–7. 13 indexed citations
8.
Wickramasinghe, Chathurika S., Kasun Amarasinghe, Daniel Marino, Craig Rieger, & Milos Manic. (2021). Explainable Unsupervised Machine Learning for Cyber-Physical Systems. IEEE Access. 9. 131824–131843. 47 indexed citations
9.
Marino, Daniel, et al.. (2021). Data-Driven Correlation of Cyber and Physical Anomalies for Holistic System Health Monitoring. IEEE Access. 9. 163138–163150. 14 indexed citations
10.
Marino, Daniel, Chathurika S. Wickramasinghe, Vivek Kumar Singh, et al.. (2021). The Virtualized Cyber-Physical Testbed for Machine Learning Anomaly Detection: A Wind Powered Grid Case Study. IEEE Access. 9. 159475–159494. 18 indexed citations
11.
Wickramasinghe, Chathurika S., Daniel Marino, & Milos Manic. (2021). ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation. IEEE Access. 9. 40511–40520. 55 indexed citations
12.
Wickramasinghe, Chathurika S., Daniel Marino, & Milos Manic. (2021). Deep Embedded Clustering with ResNets. 6. 1–6. 2 indexed citations
13.
Marino, Daniel, et al.. (2020). AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation. 155–161. 9 indexed citations
14.
Wickramasinghe, Chathurika S., et al.. (2019). Intelligent Driver System for Improving Fuel Efficiency in Vehicle Fleets. 33. 34–40. 1 indexed citations
15.
Wickramasinghe, Chathurika S., et al.. (2019). Data Driven Hourly Taxi Drop-offs Prediction using TLC Trip Record Data. abs/1007.0085. 168–173. 3 indexed citations
16.
Wickramasinghe, Chathurika S., Kasun Amarasinghe, & Milos Manic. (2019). Deep Self-Organizing Maps for Unsupervised Image Classification. IEEE Transactions on Industrial Informatics. 15(11). 5837–5845. 49 indexed citations
17.
Wickramasinghe, Chathurika S., et al.. (2018). Nucleus Basalis of Meynert Stimulation for Dementia: Theoretical and Technical Considerations. Frontiers in Neuroscience. 12. 614–614. 22 indexed citations
18.
Wickramasinghe, Chathurika S., Daniel Marino, Kasun Amarasinghe, & Milos Manic. (2018). Generalization of Deep Learning for Cyber-Physical System Security: A Survey. 745–751. 62 indexed citations
19.
Wickramasinghe, Chathurika S., Kasun Amarasinghe, Daniel Marino, & Milos Manic. (2018). Deep Self-Organizing Maps for Visual Data Mining. 9. 304–310. 5 indexed citations
20.
Wickramasinghe, Chathurika S., Kasun Amarasinghe, & Milos Manic. (2017). Parallalizable deep self-organizing maps for image classification. 1–7. 8 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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