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:

Machine learning for intelligent optical networks: A comprehensive survey
Rentao Gu, Zeyuan Yang, Yuefeng Ji
Journal of Network and Computer Applications (2020) Vol. 157, pp. 102576-102576
Closed Access | Times Cited: 122

Showing 1-25 of 122 citing articles:

Intelligent Radio Signal Processing: A Survey
Quoc‐Viet Pham, Nhan T. Nguyen, Thien Huynh‐The, et al.
IEEE Access (2021) Vol. 9, pp. 83818-83850
Open Access | Times Cited: 63
Artificial neural networks for photonic applications—from algorithms to implementation: tutorial
Pedro J. Freire, Egor Manuylovich, Jaroslaw E. Prilepsky, et al.
Advances in Optics and Photonics (2023) Vol. 15, Iss. 3, pp. 739-739
Open Access | Times Cited: 34
Active Learning for Network Traffic Classification: A Technical Study
Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, et al.
IEEE Transactions on Cognitive Communications and Networking (2021) Vol. 8, Iss. 1, pp. 422-439
Open Access | Times Cited: 45
Scaling Optical Interconnects for Hyperscale Data Center Networks
Chongjin Xie, Bo Zhang
Proceedings of the IEEE (2022) Vol. 110, Iss. 11, pp. 1699-1713
Closed Access | Times Cited: 37
A review of machine learning-based failure management in optical networks
Danshi Wang, Chunyu Zhang, Wenbin Chen, et al.
Science China Information Sciences (2022) Vol. 65, Iss. 11
Closed Access | Times Cited: 31
Towards explainable artificial intelligence in optical networks: the use case of lightpath QoT estimation
Omran Ayoub, Sebastian Troìa, Davide Andreoletti, et al.
Journal of Optical Communications and Networking (2022) Vol. 15, Iss. 1, pp. A26-A26
Open Access | Times Cited: 25
Machine-Learning-Based Lightpath QoT Estimation and Forecasting
Stéphanie Allogba, Sandra Aladin, Christine Tremblay
Journal of Lightwave Technology (2022) Vol. 40, Iss. 10, pp. 3115-3127
Open Access | Times Cited: 23
When machine learning meets Network Management and Orchestration in Edge-based networking paradigms
Amin Shahraki, Torsten Ohlenforst, Felix Kreyß
Journal of Network and Computer Applications (2022) Vol. 212, pp. 103558-103558
Closed Access | Times Cited: 23
A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics
Md. Arafatur Rahman, Md. Abdur Rahim, M.M. Rahman, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 10, pp. 19727-19742
Open Access | Times Cited: 22
GRL-PS: Graph Embedding-Based DRL Approach for Adaptive Path Selection
Wenting Wei, Liying Fu, Huaxi Gu, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 20, Iss. 3, pp. 2639-2651
Closed Access | Times Cited: 15
Using Convolutional Neural Networks for Blocking Prediction in Elastic Optical Networks
Farzaneh Nourmohammadi, Chetan Parmar, Elmar Wings, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2003-2003
Open Access | Times Cited: 5
Insights into Neutron Star Equation of State by Machine Learning
Ling-Jun Guo, Jia-Ying Xiong, Yao Ma, et al.
The Astrophysical Journal (2024) Vol. 965, Iss. 1, pp. 47-47
Open Access | Times Cited: 5
Towards complex scene text reading with selective region proposal and two-stage deep reinforcement learning
Riadh Harizi, Rim Walha, Fadoua Drira
Applied Soft Computing (2025) Vol. 170, pp. 112701-112701
Closed Access
Addressing data scarcity in ML-based failure-cause identification in optical networks through generative models
M. J. R. Healy, Andreas Baum, Francesco Musumeci
Optical Fiber Technology (2025) Vol. 90, pp. 104137-104137
Closed Access
Signal theory based encryption of faster-than-Nyquist signals for fiber and wireless transmission
Abhinand Venugopalan, Karanveer Singh, Janosch Meier, et al.
Communications Engineering (2025) Vol. 4, Iss. 1
Open Access
Machine learning approaches for predicting link failures in production networks
Bruck Wubete, Babak Esfandiari, Thomas Kunz
Computer Networks (2025), pp. 111098-111098
Closed Access
DQN-MSRA: an online SFC deployment method based on multistep reinforcement learning
Zhibo Zhang, Huiqiang Wang, Rongqiang Li, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
A review on machine learning techniques for network security
Rashid Nazir, Asif Ali Laghari, Fida Hussain Dahri, et al.
Journal of Cyber Security Technology (2025), pp. 1-45
Closed Access
Active learning of optical path classification
Paweł Cichosz
Engineering Applications of Artificial Intelligence (2025) Vol. 151, pp. 110582-110582
Closed Access
Systematic Literature Review of the Use of Computational Intelligence in the Routing and Spectrum Assignment Problem in Elastic Optical Networks
Renan V. B. Carvalho, Henrique A. Dinarte, Raul C. Almeida, et al.
Journal of Microwaves Optoelectronics and Electromagnetic Applications (2025) Vol. 24, Iss. 1
Open Access
A Survey on Traffic Prediction Techniques Using Artificial Intelligence for Communication Networks
Aaron Chen, Jeffrey Law, Michał Aibin
Telecom (2021) Vol. 2, Iss. 4, pp. 518-535
Open Access | Times Cited: 31
Internet of Things (IoT) Authentication and Access Control by Hybrid Deep Learning Method - A Study
Joy Iong Zong Chen, Kong-Long Lai
Journal of Soft Computing Paradigm (2021) Vol. 2, Iss. 4, pp. 236-245
Open Access | Times Cited: 23
Deep-learning-based path computation without routing convergence in optical satellite networks
Yinji Jing, Longteng Yi, Yongli Zhao, et al.
Journal of Optical Communications and Networking (2023) Vol. 15, Iss. 5, pp. 294-294
Closed Access | Times Cited: 9
Intra-Channel Nonlinearity Mitigation in Optical Fiber Transmission Systems Using Perturbation-Based Neural Network
Jiazheng Ding, Tiegen Liu, Tongyang Xu, et al.
Journal of Lightwave Technology (2022) Vol. 40, Iss. 21, pp. 7106-7116
Open Access | Times Cited: 15
Machine Learning Techniques in Optical Networks: A Systematic Mapping Study
Génesis Villa, Christian Tipantuña, Danny S. Guamán, et al.
IEEE Access (2023) Vol. 11, pp. 98714-98750
Open Access | Times Cited: 8
Page 1 - Next Page

Scroll to top