Most cited papers from Huawei Technologies (Canada)
What are the most cited papers from Huawei Technologies (Canada)?
The most cited paper from Huawei Technologies (Canada) is "5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice" (Mansoor Shafi, Andreas F. Molisch, Peter J. Smith et al., 2017), with 2,356 citations. Next come "On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds" (2,301) and "Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts" (2,058).
Showing 50 of 60 papers. Every paper with more than 107 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | 5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice Mansoor Shafi, Andreas F. Molisch, Peter J. Smith et al. · IEEE Journal on Selected Areas in Communications | 7 Apr 2017 | 2,356 |
| 2 | On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds Cheng‐Xiang Wang, Xiaohu You, Xiqi Gao et al. · IEEE Communications Surveys & Tutorials | 2023 | 2,301 |
| 3 | Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts Xiaohu You et al. · Science China Information Sciences | 24 Nov 2020 | 2,058 |
| 4 | A continual learning survey: Defying forgetting in classification tasks Matthias Delange, Rahaf Aljundi, Marc Masana et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2021 | 1,669 |
| 5 | Sparse code multiple access Hosein Nikopour, Hadi Baligh | Sep 2013 | 1,321 |
| 6 | Massive machine-type communications in 5g: physical and MAC-layer solutions Carsten Bockelmann, Nuno K. Pratas, Hosein Nikopour et al. · IEEE Communications Magazine | Sep 2016 | 785 |
| 7 | Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang, Lingyang Chu, Zirui Zhou et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 18 May 2021 | 715 |
| 8 | SCMA Codebook Design Mahmoud Taherzadeh, Hosein Nikopour, Alireza Bayesteh et al. | Sep 2014 | 651 |
| 9 | DriveGPT4: Interpretable End-to-End Autonomous Driving Via Large Language Model Zhenhua Xu, Yujia Zhang, Enze Xie et al. · IEEE Robotics and Automation Letters | 7 Aug 2024 | 410 |
| 10 | Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting Zili Yi, Qiang Tang, Shekoofeh Azizi et al. | Jun 2020 | 387 |
| 11 | Taming Information-Stealing Smartphone Applications (on Android) Yajin Zhou, Xinwen Zhang, Xuxian Jiang et al. · Lecture notes in computer science | 2011 | 365 |
| 12 | Filtered OFDM: A new waveform for future wireless systems Javad Abdoli, Ming Quan Jia, Jianglei Ma | Jun 2015 | 359 |
| 13 | AI-Assisted Network-Slicing Based Next-Generation Wireless Networks Xuemin Shen, Jie Gao, Wen Rong Wu et al. · IEEE Open Journal of Vehicular Technology | 2020 | 357 |
| 14 | Joint Base Station Clustering and Beamformer Design for Partial Coordinated Transmission in Heterogeneous Networks Mingyi Hong, Ruoyu Sun, Hadi Baligh et al. · IEEE Journal on Selected Areas in Communications | 18 Jan 2013 | 288 |
| 15 | Uplink contention based SCMA for 5G radio access Kelvin Au, Liqing Zhang, Hosein Nikopour et al. | Dec 2014 | 282 |
| 16 | Split Learning Over Wireless Networks: Parallel Design and Resource Management Wen Rong Wu, Mushu Li, Kaige Qu et al. · IEEE Journal on Selected Areas in Communications | 8 Feb 2023 | 278 |
| 17 | (AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network Ran Cheng, Ryan Razani, Ehsan Taghavi et al. | Jun 2021 | 263 |
| 18 | Filtered-OFDM - Enabler for Flexible Waveform in the 5th Generation Cellular Networks Xi Zhang, Ming Quan Jia, Lei Chen et al. · 2015 IEEE Global Communications Conference (GLOBECOM) | Dec 2015 | 262 |
| 19 | Deep Learning-Enabled Semantic Communication Systems With Task-Unaware Transmitter and Dynamic Data Hongwei Zhang, Shuo Shao, Meixia Tao et al. · IEEE Journal on Selected Areas in Communications | 16 Nov 2022 | 252 |
| 20 | Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions Shahin Atakishiyev, Mohammad Yahya Bani Salameh, Hengshuai Yao et al. · IEEE Access | 2024 | 249 |
| 21 | Beta-Expansion: A Theoretical Framework for Fast and Recursive Construction of Polar Codes Gaoning He, Jean‐Claude Belfiore, Ingmar Land et al. | Dec 2017 | 218 |
| 22 | Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification Yingxue Zhang, Soumyasundar Pal, Mark Coates et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 17 Jul 2019 | 199 |
| 23 | Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning Wen Rong Wu, Nan Chen, Conghao Zhou et al. · IEEE Journal on Selected Areas in Communications | 2 Dec 2020 | 191 |
| 24 | SCMA for downlink multiple access of 5G wireless networks Hosein Nikopour, Eric Yi, Alireza Bayesteh et al. | Dec 2014 | 186 |
| 25 | Mobility and Intruder Prior Information Improving the Barrier Coverage of Sparse Sensor Networks Shibo He, Jiming Chen, Xu Li et al. · IEEE Transactions on Mobile Computing | 11 Oct 2013 | 182 |
| 26 | Optimizing User Association and Spectrum Allocation in HetNets: A Utility Perspective Yi‐Cheng Lin, Wei Bao, Wei Yu et al. · IEEE Journal on Selected Areas in Communications | 29 Mar 2015 | 180 |
| 27 | Blind detection of SCMA for uplink grant-free multiple-access Alireza Bayesteh, Eric Yi, Hosein Nikopour et al. | Aug 2014 | 175 |
| 28 | Neighbor Interaction Aware Graph Convolution Networks for Recommendation Jianing Sun, Yingxue Zhang, Wei Guo et al. | 25 Jul 2020 | 174 |
| 29 | High Altitude Platform Station Based Super Macro Base Station Constellations Md Sahabul Alam, Güneş Karabulut Kurt, Halim Yanıkömeroğlu et al. · IEEE Communications Magazine | 2021 | 169 |
| 30 | Dynamic Radio Resource Slicing for a Two-Tier Heterogeneous Wireless Network Qiang John Ye, Weihua Zhuang, Shan Zhang et al. · IEEE Transactions on Vehicular Technology | 25 Jul 2018 | 169 |
| 31 | Nine Challenges in Artificial Intelligence and Wireless Communications for 6G Wen Tong, Geoffrey Ye Li · IEEE Wireless Communications | 5 May 2022 | 167 |
| 32 | Cross-Modal Weighting Network for RGB-D Salient Object Detection Gongyang Li, Zhi Liu, Linwei Ye et al. · Lecture notes in computer science | 2020 | 165 |
| 33 | End-to-End Quality of Service in 5G Networks: Examining the Effectiveness of a Network Slicing Framework Qiang John Ye, Junling Li, Kaige Qu et al. · IEEE Vehicular Technology Magazine | 20 Apr 2018 | 163 |
| 34 | Achieving Efficient Cooperative Message Authentication in Vehicular Ad Hoc Networks Xiaodong Lin, Xu Li · IEEE Transactions on Vehicular Technology | 5 Apr 2013 | 158 |
| 35 | Federated Learning Meets Multi-Objective Optimization Zeou Hu, Kiarash Shaloudegi, Guojun Zhang et al. · IEEE Transactions on Network Science and Engineering | 22 Apr 2022 | 157 |
| 36 | Adaptive Hierarchical Down-Sampling for Point Cloud Classification Ehsan Nezhadarya, Ehsan Taghavi, Ryan Razani et al. | Jun 2020 | 156 |
| 37 | Few-Shot Scene-Adaptive Anomaly Detection Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy et al. · Lecture notes in computer science | 2020 | 152 |
| 38 | Multi-graph Convolution Collaborative Filtering Jianing Sun, Yingxue Zhang, Chen Ma et al. | Nov 2019 | 147 |
| 39 | End-to-End Delay Modeling for Embedded VNF Chains in 5G Core Networks Qiang John Ye, Weihua Zhuang, Xu Li et al. · IEEE Internet of Things Journal | 9 Jul 2018 | 144 |
| 40 | Vision, application scenarios, and key technology trends for 6G mobile communications Zhiqin Wang et al. · Science China Information Sciences | 23 Mar 2022 | 141 |
| 41 | Monolithically Integrated Multilayer Silicon Nitride-on-Silicon Waveguide Platforms for 3-D Photonic Circuits and Devices Wesley D. Sacher, Jared C. Mikkelsen, Ying Huang et al. · Proceedings of the IEEE | 30 Aug 2018 | 141 |
| 42 | Distributed Resource Allocation Optimization in 5G Virtualized Networks Hassan Halabian · IEEE Journal on Selected Areas in Communications | 5 Feb 2019 | 136 |
| 43 | Seq2Img: A sequence-to-image based approach towards IP traffic classification using convolutional neural networks Zhitang Chen, Ke He, Jian Li et al. | Dec 2017 | 134 |
| 44 | Cellular Meets WiFi: Traffic Offloading or Resource Sharing? Qimei Chen, Guanding Yu, Hangguan Shan et al. · IEEE Transactions on Wireless Communications | 21 Jan 2016 | 133 |
| 45 | The Impact of Feature Importance Methods on the Interpretation of Defect Classifiers Gopi Krishnan Rajbahadur, Shaowei Wang, Gustavo A. Oliva et al. · IEEE Transactions on Software Engineering | 5 Feb 2021 | 132 |
| 46 | Antenna Array Enabled Space/Air/Ground Communications and Networking for 6G Zhenyu Xiao, Zhu Han, Arumugam Nallanathan et al. · IEEE Journal on Selected Areas in Communications | 4 Aug 2022 | 130 |
| 47 | LBT-Based Adaptive Channel Access for LTE-U Systems Rui Yin, Guanding Yu, Amine Maaref et al. · IEEE Transactions on Wireless Communications | 29 Jun 2016 | 129 |
| 48 | Optimal Feedback Scheme and Universal Time Scaling for Hamiltonian Parameter Estimation Haidong Yuan, Chi‐Hang Fred Fung · Physical Review Letters | 8 Sep 2015 | 124 |
| 49 | Is 5G Ready for Drones: A Look into Contemporary and Prospective Wireless Networks from a Standardization Perspective Irem Bor-Yaliniz, Mohamed Oussama Ben Salem, Gamini Senerath et al. · IEEE Wireless Communications | Feb 2019 | 122 |
| 50 | Aerial Platforms with Reconfigurable Smart Surfaces for 5G and Beyond Safwan Alfattani, Wael Jaafar, Yassine Hmamouche et al. · IEEE Communications Magazine | 2021 | 121 |
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 an institution when any of its authors gave it as an affiliation; 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.