Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Wireless Networks Design in the Era of Deep Learning: Model-Based, AI-Based, or Both?
Alessio Zappone, Marco Di Renzo, Mérouane Debbah
IEEE Transactions on Communications (2019) Vol. 67, Iss. 10, pp. 7331-7376
Open Access | Times Cited: 573

Showing 1-25 of 573 citing articles:

Wireless Communications Through Reconfigurable Intelligent Surfaces
Ertuğrul Başar, Marco Di Renzo, Julien de Rosny, et al.
IEEE Access (2019) Vol. 7, pp. 116753-116773
Open Access | Times Cited: 2673
Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead
Marco Di Renzo, Alessio Zappone, Mérouane Debbah, et al.
IEEE Journal on Selected Areas in Communications (2020) Vol. 38, Iss. 11, pp. 2450-2525
Open Access | Times Cited: 2282
Reconfigurable Intelligent Surfaces: Principles and Opportunities
Yuanwei Liu, Xiao Liu, Xidong Mu, et al.
IEEE Communications Surveys & Tutorials (2021) Vol. 23, Iss. 3, pp. 1546-1577
Open Access | Times Cited: 1054
Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey
Shimin Gong, Xiao Lu, Dinh Thai Hoang, et al.
IEEE Communications Surveys & Tutorials (2020) Vol. 22, Iss. 4, pp. 2283-2314
Open Access | Times Cited: 804
Study on artificial intelligence: The state of the art and future prospects
Caiming Zhang, Yang Lu
Journal of Industrial Information Integration (2021) Vol. 23, pp. 100224-100224
Closed Access | Times Cited: 738
Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges
Michele Polese, Leonardo Bonati, Salvatore D’Oro, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 2, pp. 1376-1411
Open Access | Times Cited: 421
A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks
Omar Maraqa, Aditya S. Rajasekaran, Saad Al-Ahmadi, et al.
IEEE Communications Surveys & Tutorials (2020) Vol. 22, Iss. 4, pp. 2192-2235
Open Access | Times Cited: 383
Bearing Fault Detection and Diagnosis Using Case Western Reserve University Dataset With Deep Learning Approaches: A Review
Dhiraj Neupane, Jongwon Seok
IEEE Access (2020) Vol. 8, pp. 93155-93178
Open Access | Times Cited: 379
Convergent Communication, Sensing and Localization in 6G Systems: An Overview of Technologies, Opportunities and Challenges
César Thadeo de Lima, Didier Belot, Rafael Berkvens, et al.
IEEE Access (2021) Vol. 9, pp. 26902-26925
Open Access | Times Cited: 371
6G Wireless Communications Networks: A Comprehensive Survey
Muntadher Alsabah, Marwah Abdulrazzaq Naser, Basheera M. Mahmmod, et al.
IEEE Access (2021) Vol. 9, pp. 148191-148243
Open Access | Times Cited: 323
Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges
Fatima Hussain, Syed Ali Hassan, Rasheed Hussain, et al.
IEEE Communications Surveys & Tutorials (2020) Vol. 22, Iss. 2, pp. 1251-1275
Open Access | Times Cited: 320
A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning
Changyang She, Chengjian Sun, Zhouyou Gu, et al.
Proceedings of the IEEE (2021) Vol. 109, Iss. 3, pp. 204-246
Open Access | Times Cited: 296
A Deep Learning Framework for Optimization of MISO Downlink Beamforming
Wenchao Xia, Gan Zheng, Yongxu Zhu, et al.
IEEE Transactions on Communications (2019) Vol. 68, Iss. 3, pp. 1866-1880
Open Access | Times Cited: 276
What Will the Future of UAV Cellular Communications Be? A Flight From 5G to 6G
Giovanni Geraci, Adrián García‐Rodríguez, Mohammad Mahdi Azari, et al.
IEEE Communications Surveys & Tutorials (2022) Vol. 24, Iss. 3, pp. 1304-1335
Open Access | Times Cited: 270
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei, Yue Tan, Kan Zheng, et al.
IEEE Communications Surveys & Tutorials (2020) Vol. 22, Iss. 3, pp. 1722-1760
Open Access | Times Cited: 238
Deep-Learning-Based Wireless Resource Allocation With Application to Vehicular Networks
Le Liang, Hao Ye, Guanding Yu, et al.
Proceedings of the IEEE (2019) Vol. 108, Iss. 2, pp. 341-356
Open Access | Times Cited: 235
Holistic Network Virtualization and Pervasive Network Intelligence for 6G
Xuemin Shen, Jie Gao, Wen Wu, et al.
IEEE Communications Surveys & Tutorials (2021) Vol. 24, Iss. 1, pp. 1-30
Open Access | Times Cited: 234
Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review
Mohd Syahril Ramadhan Mohd Saufi, Zair Asrar Ahmad, M. Salman Leong, et al.
IEEE Access (2019) Vol. 7, pp. 122644-122662
Open Access | Times Cited: 227
Graph-based deep learning for communication networks: A survey
Weiwei Jiang
Computer Communications (2021) Vol. 185, pp. 40-54
Open Access | Times Cited: 193
Model-Aided Wireless Artificial Intelligence: Embedding Expert Knowledge in Deep Neural Networks for Wireless System Optimization
Alessio Zappone, Marco Di Renzo, Mérouane Debbah, et al.
IEEE Vehicular Technology Magazine (2019) Vol. 14, Iss. 3, pp. 60-69
Closed Access | Times Cited: 182
FLchain: Federated Learning via MEC-enabled Blockchain Network
Umer Majeed, Choong Seon Hong
(2019), pp. 1-4
Closed Access | Times Cited: 177
Unsupervised Learning for Passive Beamforming
Jiabao Gao, Caijun Zhong, Xiaoming Chen, et al.
IEEE Communications Letters (2020) Vol. 24, Iss. 5, pp. 1052-1056
Open Access | Times Cited: 174
Softwarization of UAV Networks: A Survey of Applications and Future Trends
Omar Sami Oubbati, Mohammed Atiquzzaman, Tariq Ahamed Ahanger, et al.
IEEE Access (2020) Vol. 8, pp. 98073-98125
Open Access | Times Cited: 166
Channel Estimation for Cell-Free mmWave Massive MIMO Through Deep Learning
Jin Yu, Jiayi Zhang, Shi Jin, et al.
IEEE Transactions on Vehicular Technology (2019) Vol. 68, Iss. 10, pp. 10325-10329
Closed Access | Times Cited: 164
Enhanced Deep Learning Assisted Convolutional Neural Network for Heart Disease Prediction on the Internet of Medical Things Platform
Yuanyuan Pan, Minghuan Fu, Biao Cheng, et al.
IEEE Access (2020) Vol. 8, pp. 189503-189512
Open Access | Times Cited: 164
Page 1 - Next Page

Scroll to top