| The internet of things for health care: a comprehensive survey SMR Islam, D Kwak, MDH Kabir, M Hossain, KS Kwak IEEE access 3, 678-708, 2015 | 3245 | 2015 |
| Power-domain non-orthogonal multiple access (NOMA) in 5G systems: Potentials and challenges SMR Islam, N Avazov, OA Dobre, KS Kwak IEEE Communications Surveys & Tutorials 19 (2), 721-742, 2016 | 2400 | 2016 |
| A comprehensive survey of wireless body area networks: On PHY, MAC, and network layers solutions S Ullah, H Higgins, B Braem, B Latre, C Blondia, I Moerman, S Saleem, ... Journal of medical systems 36, 1065-1094, 2012 | 1048 | 2012 |
| Security and privacy issues in wireless sensor networks for healthcare applications M Al Ameen, J Liu, K Kwak Journal of medical systems 36, 93-101, 2012 | 833 | 2012 |
| A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion F Ali, S El-Sappagh, SMR Islam, D Kwak, A Ali, M Imran, KS Kwak Information Fusion 63, 208-222, 2020 | 613 | 2020 |
| An overview of IEEE 802.15. 6 standard KS Kwak, S Ullah, N Ullah 2010 3rd international symposium on applied sciences in biomedical and …, 2010 | 560 | 2010 |
| Resource allocation for downlink NOMA systems: Key techniques and open issues SMR Islam, M Zeng, OA Dobre, KS Kwak IEEE Wireless Communications 25 (2), 40-47, 2018 | 380 | 2018 |
| Certificateless remote anonymous authentication schemes for wirelessbody area networks J Liu, Z Zhang, X Chen, KS Kwak IEEE Transactions on parallel and distributed systems 25 (2), 332-342, 2013 | 345 | 2013 |
| An intelligent healthcare monitoring framework using wearable sensors and social networking data F Ali, S El-Sappagh, SMR Islam, A Ali, M Attique, M Imran, KS Kwak Future Generation Computer Systems 114, 23-43, 2021 | 310 | 2021 |
| A review of wireless body area networks for medical applications S Ullah, P Khan, N Ullah, S Saleem, H Higgins, KS Kwak arXiv preprint arXiv:1001.0831, 2010 | 216 | 2010 |
| A study of MAC protocols for WBANs S Ullah, B Shen, SMR Islam, P Khan, S Saleem, KS Kwak Sensors 10 (1), 128-145, 2009 | 214 | 2009 |
| A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease S El-Sappagh, JM Alonso, SMR Islam, AM Sultan, KS Kwak Scientific reports 11 (1), 2660, 2021 | 203 | 2021 |
| Type-2 fuzzy ontology–aided recommendation systems for IoT–based healthcare F Ali, SMR Islam, D Kwak, P Khan, N Ullah, S Yoo, KS Kwak Computer Communications 119, 138-155, 2018 | 197 | 2018 |
| Transportation sentiment analysis using word embedding and ontology-based topic modeling F Ali, D Kwak, P Khan, S El-Sappagh, A Ali, S Ullah, KH Kim, KS Kwak Knowledge-Based Systems 174, 27-42, 2019 | 187 | 2019 |
| Multimodal multitask deep learning model for Alzheimer’s disease progression detection based on time series data S El-Sappagh, T Abuhmed, SMR Islam, KS Kwak Neurocomputing 412, 197-215, 2020 | 176 | 2020 |
| Traffic accident detection and condition analysis based on social networking data F Ali, A Ali, M Imran, RA Naqvi, MH Siddiqi, KS Kwak Accident Analysis & Prevention 151, 105973, 2021 | 164 | 2021 |
| Opinion mining based on fuzzy domain ontology and Support Vector Machine: A proposal to automate online review classification F Ali, KS Kwak, YG Kim Applied Soft Computing 47, 235-250, 2016 | 156 | 2016 |
| Fuzzy ontology-based sentiment analysis of transportation and city feature reviews for safe traveling F Ali, D Kwak, P Khan, SMR Islam, KH Kim, KS Kwak Transportation Research Part C: Emerging Technologies 77, 33-48, 2017 | 154 | 2017 |
| A study of IEEE 802.15. 4 security framework for wireless body area networks S Saleem, S Ullah, KS Kwak Sensors 11 (2), 1383-1395, 2011 | 152 | 2011 |
| Power splitting-based SWIPT with decode-and-forward full-duplex relaying H Liu, KJ Kim, KS Kwak, HV Poor IEEE Transactions on Wireless Communications 15 (11), 7561-7577, 2016 | 151 | 2016 |
Farman AliAssistant Professor, Department of Applied AI, SKKU, Top 2% Scientists [2022-2023]在 g.skku.edu 的电子邮件经过验证
Farman AliAssistant Professor, Department of Applied AI, SKKU, Top 2% Scientists [2022-2023]在 g.skku.edu 的电子邮件经过验证