Daswin De Silva

3.4k total citations
121 papers, 2.2k citations indexed

About

Daswin De Silva is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Daswin De Silva has authored 121 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 21 papers in Electrical and Electronic Engineering and 14 papers in Information Systems. Recurrent topics in Daswin De Silva's work include Smart Grid Energy Management (12 papers), Energy Load and Power Forecasting (11 papers) and Anomaly Detection Techniques and Applications (11 papers). Daswin De Silva is often cited by papers focused on Smart Grid Energy Management (12 papers), Energy Load and Power Forecasting (11 papers) and Anomaly Detection Techniques and Applications (11 papers). Daswin De Silva collaborates with scholars based in Australia, United States and Sweden. Daswin De Silva's co-authors include Damminda Alahakoon, Rashmika Nawaratne, Xinghuo Yu, Achini Adikari, Tharindu Bandaragoda, Nishan Mills, Dinithi Nallaperuma, Thimal Kempitiya, Weranja Ranasinghe and Su Nguyen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Daswin De Silva

110 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daswin De Silva Australia 25 836 317 317 251 189 121 2.2k
A. H. Alamoodi Iraq 35 1.2k 1.4× 342 1.1× 292 0.9× 564 2.2× 560 3.0× 102 4.3k
Sharnil Pandya India 28 1.0k 1.2× 427 1.3× 262 0.8× 590 2.4× 411 2.2× 61 2.8k
Muhammad Umer Pakistan 30 1.1k 1.3× 324 1.0× 192 0.6× 275 1.1× 436 2.3× 115 2.5k
Kwok Tai Chui Hong Kong 22 488 0.6× 295 0.9× 306 1.0× 374 1.5× 215 1.1× 170 1.9k
Paulo Nováis Portugal 24 720 0.9× 468 1.5× 216 0.7× 246 1.0× 269 1.4× 268 2.4k
Md. Golam Rabiul Alam Bangladesh 22 558 0.7× 392 1.2× 383 1.2× 768 3.1× 379 2.0× 199 2.4k
Jong Wook Kim South Korea 27 1.1k 1.3× 296 0.9× 380 1.2× 242 1.0× 369 2.0× 102 2.6k
Furqan Rustam Pakistan 33 1.6k 2.0× 326 1.0× 153 0.5× 294 1.2× 620 3.3× 134 3.5k
Sachin Kumar India 25 1.0k 1.2× 447 1.4× 328 1.0× 563 2.2× 459 2.4× 122 3.1k
Rubén Morales-Menéndez Mexico 32 986 1.2× 358 1.1× 263 0.8× 113 0.5× 320 1.7× 195 4.4k

Countries citing papers authored by Daswin De Silva

Since Specialization
Citations

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

Fields of papers citing papers by Daswin De Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daswin De Silva. 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 Daswin De Silva. The network helps show where Daswin De Silva may publish in the future.

Co-authorship network of co-authors of Daswin De Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Daswin De Silva. A scholar is included among the top collaborators of Daswin De Silva 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 Daswin De Silva. Daswin De Silva 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
2.
Moraliyage, Harsha, et al.. (2025). Explainable Artificial Intelligence with Integrated Gradients for the Detection of Adversarial Attacks on Text Classifiers. Applied System Innovation. 8(1). 17–17. 1 indexed citations
3.
Silva, Daswin De, et al.. (2025). Responsible Artificial Intelligence Hyper-Automation with Generative AI Agents for Sustainable Cities of the Future. Smart Cities. 8(1). 34–34. 4 indexed citations
4.
Young, Suzanne, Karen Farquharson, Daswin De Silva, & Paul Mather. (2024). The Challenges of Gender Diversity in Boards of Directors: An Australian Study with Global Implications. SHILAP Revista de lepidopterología. 9(2). 2400259–2400259. 2 indexed citations
5.
Adikari, Achini, Rashmika Nawaratne, Daswin De Silva, et al.. (2024). Is Mild Really Mild?: Generating Longitudinal Profiles of Stroke Survivor Impairment and Impact Using Unsupervised Machine Learning. Applied Sciences. 14(15). 6800–6800. 2 indexed citations
6.
Kempitiya, Thimal, et al.. (2024). A Two-Layer Self-Organizing Map with Vector Symbolic Architecture for Spatiotemporal Sequence Learning and Prediction. Biomimetics. 9(3). 175–175. 2 indexed citations
7.
Adikari, Achini, Su Nguyen, Rashmika Nawaratne, Daswin De Silva, & Damminda Alahakoon. (2024). Transforming Customer Digital Footprints into Decision Enablers in Hospitality. Applied Sciences. 14(7). 3114–3114. 2 indexed citations
8.
Wu, Jinrong, Su Nguyen, Damminda Alahakoon, et al.. (2024). A Comparative Analysis of Machine Learning-Based Energy Baseline Models across Multiple Building Types. Energies. 17(6). 1285–1285. 7 indexed citations
9.
McCaffrey, Nikki, Victoria White, Lidia Engel, et al.. (2024). What is the economic and social return on investment for telephone cancer information and support services in Australia? An evaluative social return on investment study protocol. BMJ Open. 14(6). e081425–e081425. 2 indexed citations
10.
Silva, Daswin De, et al.. (2024). Explainable Artificial Intelligence for Crowd Forecasting Using Global Ensemble Echo State Networks. IEEE Open Journal of the Industrial Electronics Society. 5. 415–427. 3 indexed citations
12.
Osipov, Evgeny, et al.. (2022). Hyperseed: Unsupervised Learning With Vector Symbolic Architectures. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 6583–6597. 20 indexed citations
14.
Moraliyage, Harsha, Daswin De Silva, Nishan Mills, et al.. (2022). A Robust Artificial Intelligence Approach with Explainability for Measurement and Verification of Energy Efficient Infrastructure for Net Zero Carbon Emissions. Sensors. 22(23). 9503–9503. 16 indexed citations
15.
Silva, Daswin De, Seppo Sierla, Damminda Alahakoon, et al.. (2021). Robust Multi-Step Predictor for Electricity Markets with Real-Time Pricing. Energies. 14(14). 4378–4378. 7 indexed citations
16.
Adikari, Achini, et al.. (2021). Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence. Journal of Medical Internet Research. 23(4). e27341–e27341. 39 indexed citations
17.
Nawaratne, Rashmika, et al.. (2021). Minority Resampling Boosted Unsupervised Learning With Hyperdimensional Computing for Threat Detection at the Edge of Internet of Things. IEEE Access. 9. 126646–126657. 13 indexed citations
18.
Adikari, Achini, Daswin De Silva, Harsha Moraliyage, et al.. (2021). Empathic conversational agents for real-time monitoring and co-facilitation of patient-centered healthcare. Future Generation Computer Systems. 126. 318–329. 41 indexed citations
19.
Leung, Yvonne, Achini Adikari, Graeme Hirst, et al.. (2021). Natural Language Processing–Based Virtual Cofacilitator for Online Cancer Support Groups: Protocol for an Algorithm Development and Validation Study. JMIR Research Protocols. 10(1). e21453–e21453. 16 indexed citations
20.
Nallaperuma, Dinithi, Rashmika Nawaratne, Tharindu Bandaragoda, et al.. (2019). Online Incremental Machine Learning Platform for Big Data-Driven Smart Traffic Management. IEEE Transactions on Intelligent Transportation Systems. 20(12). 4679–4690. 199 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026