| Deep learning for deepfakes creation and detection: A survey TT Nguyen, QVH Nguyen, DT Nguyen, DT Nguyen, T Huynh-The, ... Computer Vision and Image Understanding 223, 103525, 2022 | 790 | 2022 |
| Blockchain for the metaverse: A Review T Huynh-The, TR Gadekallu, W Wang, G Yenduri, P Ranaweera, ... Future Generation Computer Systems 143, 401-419, 2023 | 662* | 2023 |
| Artificial intelligence (AI) and big data for coronavirus (COVID-19) pandemic: A survey on the state-of-the-arts QV Pham, DC Nguyen, T Huynh-The, WJ Hwang, PN Pathirana IEEE Access 8, 130820 - 130839, 2020 | 519* | 2020 |
| Metaverse for healthcare: a survey on potential applications, challenges and future directions R Chengoden, N Victor, T Huynh-The, G Yenduri, RH Jhaveri, M Alazab, ... IEEE Access 11, 12765-12795, 2023 | 387* | 2023 |
| Artificial intelligence for the metaverse: A survey T Huynh-The, QV Pham, XQ Pham, TT Nguyen, Z Han, DS Kim Engineering Applications of Artificial Intelligence 117, 105581, 2023 | 306 | 2023 |
| Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions TT Nguyen, QVH Nguyen, DT Nguyen, S Yang, PW Eklund, T Huynh-The, ... arXiv preprint arXiv:2008.07343, 2020 | 301 | 2020 |
| Fusion of federated learning and industrial Internet of Things: A survey P Boobalan, SP Ramu, QV Pham, K Dev, S Pandya, PKR Maddikunta, ... Computer Networks 212, 109048, 2022 | 267* | 2022 |
| Federated Learning enabled Digital Twins for smart cities: Concepts, recent advances, and future directions SP Ramu, P Boopalan, QV Pham, PKR Maddikunta, T Huynh-The, ... Sustainable Cities and Society, 103663, 2022 | 214* | 2022 |
| MCNet: An efficient CNN architecture for robust automatic modulation classification T Huynh-The, CH Hua, QV Pham, DS Kim IEEE Communications Letters 24 (4), 811-815, 2020 | 176 | 2020 |
| Underwater acoustic target classification based on dense convolutional neural network VS Doan, T Huynh-The, DS Kim IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 136 | 2020 |
| UAV communications for sustainable federated learning QV Pham, M Zeng, R Ruby, T Huynh-The, WJ Hwang IEEE Transactions on Vehicular Technology 70 (4), 3944-3948, 2021 | 119 | 2021 |
| Sum-rate maximization for UAV-assisted visible light communications using NOMA: Swarm intelligence meets machine learning QV Pham, T Huynh-The, M Alazab, J Zhao, WJ Hwang IEEE Internet of Things Journal 7 (10), 10375-10387, 2020 | 119* | 2020 |
| Applications of explainable AI for 6G: Technical aspects, use cases, and research challenges S Wang, MA Qureshi, L Miralles-Pechuan, T Huynh-The, TR Gadekallu, ... arXiv preprint arXiv:2112.04698, 2021 | 107* | 2021 |
| Energy-efficient federated learning over UAV-enabled wireless powered communications QV Pham, M Le, T Huynh-The, Z Han, WJ Hwang IEEE Transactions on Vehicular Technology 71 (5), 4977-4990, 2022 | 105 | 2022 |
| Sparsely connected CNN for efficient automatic modulation recognition GB Tunze, T Huynh-The, JM Lee, DS Kim IEEE Transactions on Vehicular Technology 69 (12), 15557-15568, 2020 | 99 | 2020 |
| Iss2Image: A novel signal-encoding technique for CNN-based human activity recognition T Hur, J Bang, T Huynh-The, J Lee, JI Kim, S Lee Sensors 18 (11), 3910, 2018 | 81* | 2018 |
| Encoding pose features to images with data augmentation for 3-D action recognition T Huynh-The, CH Hua, DS Kim IEEE Transactions on Industrial Informatics 16 (5), 3100-3111, 2019 | 78 | 2019 |
| Intelligent radio signal processing: A survey QV Pham, NT Nguyen, T Huynh-The, LB Le, K Lee, WJ Hwang IEEE Access 9, 83818-83850, 2021 | 77* | 2021 |
| Federated learning for big data: A survey on opportunities, applications, and future directions TR Gadekallu, QV Pham, T Huynh-The, S Bhattacharya, PKR Maddikunta, ... arXiv preprint arXiv:2110.04160, 2021 | 76* | 2021 |
| Incentive techniques for the internet of things: a survey PKR Maddikunta, QV Pham, DC Nguyen, T Huynh-The, O Aouedi, ... Journal of Network and Computer Applications 206, 103464, 2022 | 75* | 2022 |
Viet Quoc PhamSchool of Computer Science and Statistics, Trinity College Dublin在 tcd.ie 的电子邮件经过验证