| Internet of things (IoT) applications for elderly care: a reflective review SYY Tun, S Madanian, F Mirza Aging clinical and experimental research 33, 855-867, 2021 | 278 | 2021 |
| Social Engineering Attacks and Countermeasures in the New Zealand Banking System: Advancing a User-Reflective Mitigation Model D Airehrour, NV Nair, S Madanian Information 9 (5), 11, 2018 | 106 | 2018 |
| Patients' perspectives on digital health tools S Madanian, I Nakarada-Kordic, S Reay PEC innovation 2, 100171, 2023 | 75 | 2023 |
| mHealth and Big-Data Integration: Promises for Healthcare System in India S Madanian, D Parry, D Airehrour, M Cherrington BMJ Health & Informatics 26 (1), 2019 | 75 | 2019 |
| Speech emotion recognition using machine learning—A systematic review S Madanian, T Chen, O Adeleye, JM Templeton, C Poellabauer, D Parry, ... Intelligent systems with applications 20, 200266, 2023 | 62 | 2023 |
| Disaster E-Health: A New Paradigm for Collaborative Healthcare in Disasters AC Norris, S Martinez, L Labaka, S Madanian, JJ Gonzalez, D Parry ISCRAM 2015, 2015 | 44 | 2015 |
| Deep Learning Decision Support for Sustainable Asset Management M Cherrington, ZJ Lu, Q Xu, D Airehrour, S Madanian, A Dyrkacz Advances in Asset Management and Condition Monitoring 166, 537-547, 2020 | 36 | 2020 |
| Digital Asset Management: New Opportunities from High Dimensional Data—A New Zealand Perspective M Cherrington, Z Lou, Q Xu, F Thabtah, D Airehrour, S Madanian Advances in Asset Management and Condition Monitoring 166, 183-193, 2020 | 27 | 2020 |
| Disaster eHealth: Scoping Review S Madanian, T Norris, D Parry J Med Internet Res 22 (10), 2020 | 26 | 2020 |
| IoT, cloud computing and big data: integrated framework for healthcare in disasters S Madanian, D Parry Medinfo, 998-1002, 2019 | 25 | 2019 |
| Particle swarm optimization for feature selection: a review of filter-based classification to identify challenges and opportunities M Cherrington, D Airehrour, J Lu, F Thabtah, Q Xu, S Madanian 2019 IEEE 10th Annual Information Technology, Electronics and Mobile …, 2019 | 23 | 2019 |
| Feature selection: Multi-source and multi-view data limitations, capabilities and potentials M Cherrington, J Lu, D Airehrour, F Thabtah, Q Xu, S Madanian 2019 29th International Telecommunication Networks and Applications …, 2019 | 22 | 2019 |
| Reducing ICT carbon footprints through adoption of green computing D Airehrour, M Cherrington, S Madanian, J Singh Academy of Economic Studies in Bucharest. Department of Economic Informatics …, 2019 | 21 | 2019 |
| Clinical Perspective on Internet of Things Applications for Care of the Elderly SYY Tun, S Madanian, D Parry Electronics 9 (11), 2020 | 20 | 2020 |
| Machine learning methods for hospital readmission prediction: systematic analysis of literature T Chen, S Madanian, D Airehrour, M Cherrington Journal of Reliable Intelligent Environments 8 (1), 49-66, 2022 | 19 | 2022 |
| Automatic speech emotion recognition using machine learning: digital transformation of mental health S Madanian, D Parry, O Adeleye, C Poellabauer, F Mirza, S Mathew, ... Proceedings of the Annual Pacific Asia Conference on Information Systems (PACIS), 2022 | 19* | 2022 |
| Feature selection methods for linked data: Limitations, capabilities and potentials M Cherrington, D Airehrour, J Lu, Q Xu, S Wade, S Madanian Proceedings of the 6th IEEE/ACM International Conference on Big Data …, 2019 | 19 | 2019 |
| Smart Cap for Visually Impaired in Disaster Situations S Madanian, D Airehrour, M Cherrington, K PatilNikhil Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st …, 2018 | 17 | 2018 |
| The Use of e-Health technology in Healthcare Environment: The Role of RFID Technology S Madanian ECDC Conference, 2016 | 15 | 2016 |
| Identifying the potential of RFID in disaster healthcare: An international Delphi study S Madanian, D Parry Electronics 10 (21), 2621, 2021 | 14 | 2021 |
Dave ParryProfessor Murdoch Universityยืนยันอีเมลแล้วที่ murdoch.edu.au