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OpenAlex Citation Counts

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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 26-50 of 122 citing articles:

Experimental evaluation of a latency-aware routing and spectrum assignment mechanism based on deep reinforcement learning
Carlos Hernández-Chulde, Ramon Casellas, Ricardo Martí­nez, et al.
Journal of Optical Communications and Networking (2023) Vol. 15, Iss. 11, pp. 925-925
Closed Access | Times Cited: 8
Machine-Learning Based Prediction of Multiple Types of Network Traffic
Aleksandra Knapińska, Piotr Lechowicz, Krzysztof Walkowiak
Lecture notes in computer science (2021), pp. 122-136
Closed Access | Times Cited: 18
Machine learning enhanced next-generation optical access networks—challenges and emerging solutions [Invited Tutorial]
Elaine Wong, Sourav Mondal, Lihua Ruan
Journal of Optical Communications and Networking (2022) Vol. 15, Iss. 2, pp. A49-A49
Closed Access | Times Cited: 13
Overview of Quality of Transmission Estimation in Optical Networks
Sergio Cruzes
(2024)
Open Access | Times Cited: 2
Fault monitoring in passive optical network through the integration of machine learning and fiber sensors
Auwalu Usman, Nadiatulhuda Zulkifli, Mohd Rashidi Salim, et al.
International Journal of Communication Systems (2022) Vol. 35, Iss. 9
Closed Access | Times Cited: 11
Artificial Intelligence and Machine Learning
Deepak Kataria, Anwar Walid, Mahmoud Daneshmand, et al.
(2023), pp. 1-69
Closed Access | Times Cited: 6
Domain adaptation and transfer learning for failure detection and failure-cause identification in optical networks across different lightpaths [Invited]
Francesco Musumeci, Venkata Virajit Garbhapu, Yusuke Hirota, et al.
Journal of Optical Communications and Networking (2021) Vol. 14, Iss. 2, pp. A91-A91
Open Access | Times Cited: 15
Data augmentation to improve performance of neural networks for failure management in optical networks
Lareb Zar Khan, João Pedro, Nelson Costa, et al.
Journal of Optical Communications and Networking (2022) Vol. 15, Iss. 1, pp. 57-57
Open Access | Times Cited: 10
Reconfiguring multicast sessions in elastic optical networks adaptively with graph-aware deep reinforcement learning
Xiaojian Tian, Baojia Li, Rentao Gu, et al.
Journal of Optical Communications and Networking (2021) Vol. 13, Iss. 11, pp. 253-253
Closed Access | Times Cited: 14
In-Network Pooling: Contribution-Aware Allocation Optimization for Computing Power Network in B5G/6G Era
Di Zheng, Tao Luo, Chao Qiu, et al.
IEEE Transactions on Network Science and Engineering (2022) Vol. 10, Iss. 3, pp. 1190-1202
Closed Access | Times Cited: 9
Flexible open network operating system architecture for implementing higher scalability using disaggregated software‐defined optical networking
Kenneth Nsafoa‐Yeboah, Eric Tutu Tchao, Benjamin Kommey, et al.
IET Networks (2023) Vol. 13, Iss. 3, pp. 221-240
Open Access | Times Cited: 5
Software-Defined Networks for Optical Networks Using Flexible Orchestration: Advances, Challenges, and Opportunities
Kenneth Nsafoa‐Yeboah, Eric Tutu Tchao, Bright Yeboah-Akowuah, et al.
Journal of Computer Networks and Communications (2022) Vol. 2022, pp. 1-40
Open Access | Times Cited: 8
Blockchain for the digital twin-driven autonomous optical network
Yue Pang, Min Zhang, Lifang Zhang, et al.
Journal of Optical Communications and Networking (2024) Vol. 16, Iss. 3, pp. 278-278
Closed Access | Times Cited: 1
Supervised Machine Learning Method based Modulation Formats Classification for WDM Systems
Kebaili Rima, Samia Driz, Fassi Benattou
(2024), pp. 1-6
Closed Access | Times Cited: 1
Intelligent Radio Signal Processing: A Contemporary Survey.
Quoc‐Viet Pham, Nhan T. Nguyen, Thien Huynh‐The, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 12
Virtual Network Embedding Over Multi-Band Elastic Optical Network Based on Cross-Matching Mechanism and Hypergraph Theory
Zeyuan Yang, Rentao Gu, Yuefeng Ji
IEEE Transactions on Network and Service Management (2023) Vol. 20, Iss. 4, pp. 4681-4697
Closed Access | Times Cited: 4
Approximately Lossless Model Compression-Based Multilayer Virtual Network Embedding for Edge–Cloud Collaborative Services
Zeyuan Yang, Rentao Gu, Hui Li, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 14, pp. 13040-13055
Closed Access | Times Cited: 4
A rule-based modeling approach for network application availability assessment under dynamic network restoration scheme
Zhiwei Yi, Ning Huang, Qihang Yang, et al.
Measurement (2023) Vol. 217, pp. 113040-113040
Closed Access | Times Cited: 4
A survey on machine learning algorithm applications in visible light communication systems
Maha Sliti, Manel Mrabet, Mouna Garai, et al.
Optical and Quantum Electronics (2024) Vol. 56, Iss. 8
Closed Access | Times Cited: 1
Failure Management Overview in Optical Networks
Sergio Cruzes
IEEE Access (2024) Vol. 12, pp. 169170-169193
Open Access | Times Cited: 1
A CNN-based cost-effective modulation format identification scheme by low-bandwidth direct detecting and low rate sampling for elastic optical networks
Jinhao Du, Tao Yang, Chen Xue, et al.
Optics Communications (2020) Vol. 471, pp. 126007-126007
Closed Access | Times Cited: 11
On the suitability, requisites, and challenges of machine learning [Invited]
Rui Manuel Morais
Journal of Optical Communications and Networking (2020) Vol. 13, Iss. 1, pp. A1-A1
Closed Access | Times Cited: 11
Node-Oriented Traffic Prediction and Scheduling Based on Graph Convolutional Network in Metro Optical Networks
Bowen Bao, Hui Yang, Yu Wan, et al.
Optical Fiber Communication Conference (OFC) 2022 (2021)
Closed Access | Times Cited: 10
Extraction and Early Detection of Anomalies in Lightpath SNR Using Machine Learning Models
Stéphanie Allogba, Banti Laure M. Yameogo, Christine Tremblay
Journal of Lightwave Technology (2021) Vol. 40, Iss. 7, pp. 1864-1872
Open Access | Times Cited: 9
A Bandwidth-Balanced RMLSA Solution for Static Elastic Optical Network: A Two Stages Approach
Jorge Bermudez, Reinaldo Vallejos, Nicolás Jara
IEEE Access (2022) Vol. 10, pp. 80092-80105
Open Access | Times Cited: 6

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