Most cited papers in Advanced Data and IoT Technologies
What are the most cited papers in Advanced Data and IoT Technologies?
The most cited paper in Advanced Data and IoT Technologies is "A survey of the recent architectures of deep convolutional neural networks" (Asifullah Khan, Anabia Sohail, Umme Zahoora et al., 2020), with 2,549 citations. Next come "Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks" (1,362) and "A review: Data pre-processing and data augmentation techniques" (1,310).
Showing 50 of 100 papers. Every paper with more than 121 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | A survey of the recent architectures of deep convolutional neural networks Asifullah Khan, Anabia Sohail, Umme Zahoora et al. · Artificial Intelligence Review | 21 Apr 2020 | 2,549 |
| 2 | Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks Ali Narin, Ceren Kaya, Ziynet Pamuk · Pattern Analysis and Applications | 9 May 2021 | 1,362 |
| 3 | A review: Data pre-processing and data augmentation techniques Kiran Kishor Maharana, Surajit Kumar Mondal, Bhushankumar Nemade · Global Transitions Proceedings | 3 Apr 2022 | 1,310 |
| 4 | Deep Reinforcement Learning Based Resource Allocation for V2V Communications Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang · IEEE Transactions on Vehicular Technology | 4 Feb 2019 | 880 |
| 5 | Accuracy measures: theoretical and practical concerns Spyros Makridakis · International Journal of Forecasting | Dec 1993 | 877 |
| 6 | Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief, Yuanming Shi, Jianmin Lu et al. · IEEE Journal on Selected Areas in Communications | 8 Nov 2021 | 811 |
| 7 | Semantic Communications: Overview, Open Issues, and Future Research Directions Xuewen Luo, Hsiao‐Hwa Chen, Qing Guo · IEEE Wireless Communications | 13 Jan 2022 | 686 |
| 8 | Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city Saurabh Singh, Pradip Kumar Sharma, Byungun Yoon et al. · Sustainable Cities and Society | Jul 2020 | 517 |
| 9 | Plant leaf disease detection using computer vision and machine learning algorithms Sunil Swamilingappa Harakannanavar, Jayashri M. Rudagi, Veena I Puranikmath et al. · Global Transitions Proceedings | 2 Apr 2022 | 515 |
| 10 | A Lite Distributed Semantic Communication System for Internet of Things Huiqiang Xie, Zhijin Qin · IEEE Journal on Selected Areas in Communications | 9 Nov 2020 | 509 |
| 11 | Model-Driven Deep Learning for Physical Layer Communications Hengtao He, Shi Hong Jin, Chao-Kai Wen et al. · IEEE Wireless Communications | 15 May 2019 | 495 |
| 12 | An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System Chen Chen, Bin Liu, Shaohua Wan et al. · IEEE Transactions on Intelligent Transportation Systems | Oct 2020 | 431 |
| 13 | Federated learning for 6G communications: Challenges, methods, and future directions Yi Liu, Xingliang Yuan, Zehui Xiong et al. · China Communications | Sep 2020 | 425 |
| 14 | Recommendation system based on deep learning methods: a systematic review and new directions Aminu Da’u, Naomie Binti Salim · Artificial Intelligence Review | 3 Aug 2019 | 413 |
| 15 | Dynamic Adaptive DNN Surgery for Inference Acceleration on the Edge Chuang Hu, Wei Bao, Dan Wang et al. | Apr 2019 | 404 |
| 16 | Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning Xiaoming Li, Hao Liu, Weixi Wang et al. · Future Generation Computer Systems | 12 Oct 2021 | 396 |
| 17 | Deep Transfer Learning for Intelligent Cellular Traffic Prediction Based on Cross-Domain Big Data Chuanting Zhang, Haixia Zhang, Jingping Qiao et al. · IEEE Journal on Selected Areas in Communications | 14 Mar 2019 | 373 |
| 18 | Blockchain based hybrid network architecture for the smart city Pradip Kumar Sharma, Jong Hyuk Park · Future Generation Computer Systems | 2 May 2018 | 373 |
| 19 | A review on modern defect detection models using DCNNs – Deep convolutional neural networks Tulbure Andrei-Alexandru, Tulbure Adrian-Alexandru, Eva Henrietta Dulf · Journal of Advanced Research | 23 Apr 2021 | 367 |
| 20 | Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles Siyuan Liang, Hao Wu, Li Zhen et al. · IEEE Transactions on Intelligent Transportation Systems | 22 Mar 2022 | 362 |
| 21 | RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN Krzysztof Rusek, Jose Suarez-Varela, Paul Almasan et al. · IEEE Journal on Selected Areas in Communications | 5 Jun 2020 | 361 |
| 22 | SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead Wentai Wu, Ligang He, Weiwei Lin et al. · IEEE Transactions on Computers | 13 May 2020 | 358 |
| 23 | Edge Computing in the Industrial Internet of Things Environment: Software-Defined-Networks-Based Edge-Cloud Interplay Kuljeet Kaur, Sahil Garg, Gagangeet Singh Aujla et al. · IEEE Communications Magazine | Feb 2018 | 350 |
| 24 | Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm Thanasis Kotsiopoulos, Panagiotis G. Sarigiannidis, Dimosthenis Ioannidis et al. · Computer Science Review | 11 Feb 2021 | 343 |
| 25 | Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities Latif Ullah Khan, Zhu Han, Walid Saad et al. · IEEE Communications Surveys & Tutorials | 2022 | 322 |
| 26 | Proceedings of IEEE International Conference on Communications, ICC'08 Claudio Rosa, Dimas López Villa, Carlos Ubeda Castellanos et al. · International Conference on Communications | 2008 | 313 |
| 27 | Mobility-Aware Multi-Hop Task Offloading for Autonomous Driving in Vehicular Edge Computing and Networks Lei Liu, Ming Xin Zhao, Miao Yu et al. · IEEE Transactions on Intelligent Transportation Systems | 2022 | 302 |
| 28 | Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions Swarna Priya Ramu, Parimala Boopalan, Quoc‐Viet Pham et al. · Sustainable Cities and Society | 19 Jan 2022 | 299 |
| 29 | Realizing the Potential of the Internet of Things for Smart Tourism with 5G and AI Wei Wang, Neeraj Kumar, Junxin Chen et al. · IEEE Network | 23 Oct 2020 | 296 |
| 30 | AI and 6G Security: Opportunities and Challenges Yushan Siriwardhana, Pawani Porambage, Madhusanka Liyanage et al. | 8 Jun 2021 | 284 |
| 31 | Deep-Learning-Empowered Breast Cancer Auxiliary Diagnosis for 5GB Remote E-Health Keping Yu, Liang Tan, Long Lin et al. · IEEE Wireless Communications | Jun 2021 | 271 |
| 32 | Detection of rice plant diseases based on deep transfer learning Junde Chen, Defu Zhang, Yaser Ahangari Nanehkaran et al. · Journal of the Science of Food and Agriculture | 3 Mar 2020 | 265 |
| 33 | Early recognition of tomato gray leaf spot disease based on MobileNetv2-YOLOv3 model Jun Liu, Xuewei Wang · Plant Methods | 8 Jun 2020 | 258 |
| 34 | When Internet of Things Meets Metaverse: Convergence of Physical and Cyber Worlds Kai Li, Yingping Cui, Weicai Li et al. · IEEE Internet of Things Journal | 29 Dec 2022 | 251 |
| 35 | International Journal of Scientific Research in Science and Technology IJSRST, Pankaj S. Borkar, Sangharsh S. Chandekar et al. · International Journal of Scientific Research in Science and Technology | Oct 2008 | 245 |
| 36 | A Many-Objective Optimization Model of Industrial Internet of Things Based on Private Blockchain Bin Cao, Xuesong Wang, Weizheng Zhang et al. · IEEE Network | Sep 2020 | 245 |
| 37 | Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies Hong-Ning Dai, Hao Wang, Guangquan Xu et al. · Enterprise Information Systems | 24 Jun 2019 | 245 |
| 38 | Deep Channel Learning for Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems Ahmet M. Elbir, Anastasios Papazafeiropoulos, Pandelis Kourtessis et al. · IEEE Wireless Communications Letters | 12 May 2020 | 242 |
| 39 | Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT Peiying Zhang, Chao Wang, Chunxiao Jiang et al. · IEEE Transactions on Industrial Informatics | 8 Mar 2021 | 232 |
| 40 | IEEE Communications Surveys and Tutorials Dusit Tao Niyato · IEEE Communications Surveys & Tutorials | 2021 | 231 |
| 41 | Optimization of Big Data Scheduling in Social Networks Weina Fu, Shuai Liu, Gautam Srivastava · Entropy | 17 Sep 2019 | 230 |
| 42 | Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach Yang Li, Jiazheng Li, Yi Wang · IEEE Transactions on Industrial Informatics | 20 Jul 2021 | 229 |
| 43 | Multi-Access Edge Computing: A Survey Abderrahime Filali, Amine Abouaomar, Soumaya Cherkaoui et al. · IEEE Access | 2020 | 219 |
| 44 | Blockchain-Empowered Decentralized Horizontal Federated Learning for 5G-Enabled UAVs Chaosheng Feng, Bin Liu, Keping Yu et al. · IEEE Transactions on Industrial Informatics | 28 Sep 2021 | 216 |
| 45 | Towards Accurate Prediction for High-Dimensional and Highly-Variable Cloud Workloads with Deep Learning Zheyi Chen, Jia Wen Hu, Geyong Min et al. · IEEE Transactions on Parallel and Distributed Systems | 15 Nov 2019 | 216 |
| 46 | Energy Theft Detection With Energy Privacy Preservation in the Smart Grid Donghuan Yao, Mi Wen, Xiaohui Liang et al. · IEEE Internet of Things Journal | 6 Mar 2019 | 214 |
| 47 | Edge Intelligence Empowered Vehicle Detection and Image Segmentation for Autonomous Vehicles Chen Chen, Chenyu Wang, Bin Liu et al. · IEEE Transactions on Intelligent Transportation Systems | 5 Jan 2023 | 209 |
| 48 | A blockchain‐ and artificial intelligence‐enabled smart IoT framework for sustainable city Imran M Ahmed, Yulan Zhang, Gwanggil Jeon et al. · International Journal of Intelligent Systems | 16 Feb 2022 | 209 |
| 49 | Overview of AI and communication for 6G network: fundamentals, challenges, and future research opportunities Qimei Cui et al. · Science China Information Sciences | 2 Apr 2025 | 203 |
| 50 | Toward Edge-Based Deep Learning in Industrial Internet of Things Fan Liang, Yu Jian Wei, Xing Liu et al. · IEEE Internet of Things Journal | 2020 | 196 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.