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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-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

Showing 23 citing articles:

Application of Lévy and sine cosine algorithm hunger game search in machine learning model parameter optimization and acute appendicitis prediction
Shizheng Qu, Huan Liu, Hanwen Zhang, et al.
Expert Systems with Applications (2025), pp. 126413-126413
Open Access
Deep learning-based inverse design of multi-functional metasurface absorbers
Yikun Huang, Xiaoshan Liu, Mulin Liu, et al.
Optics Letters (2024) Vol. 49, Iss. 10, pp. 2733-2733
Closed Access | Times Cited: 3
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
Overview of Quality of Transmission Estimation in Optical Networks
Sergio Cruzes
(2024)
Open Access | Times Cited: 2
Uncertainty-Aware QoT Forecasting in Optical Networks with Bayesian Recurrent Neural Networks
Nicola Di Cicco, Jacopo Talpini, Mëmëdhe Ibrahimi, et al.
ICC 2022 - IEEE International Conference on Communications (2023), pp. 441-446
Open Access | Times Cited: 5
Evolutionary neuron-level transfer learning for QoT estimation in optical networks
Yuhang Zhou, Zhiqun Gu, Jiawei Zhang, et al.
Journal of Optical Communications and Networking (2024) Vol. 16, Iss. 4, pp. 432-432
Closed Access | Times Cited: 1
Forecasting Lightpath Quality of Transmission and Implementing Uncertainty in the Forecast Models
Somaiieh Yousefi, Hussein Chouman, Petar Djukic, et al.
Journal of Lightwave Technology (2023) Vol. 41, Iss. 15, pp. 4871-4881
Open Access | Times Cited: 4
Fast QoT estimation method using cascaded artificial neural network for real-time path provisioning in IMDD based all-optical networks
Ryo Igarashi, Ryo Koma, Kazutaka Hara, et al.
Optics Express (2023) Vol. 32, Iss. 2, pp. 1176-1176
Open Access | Times Cited: 2
Analysis and Mitigation of Unwanted Biases in ML-based QoT Classification Tasks
Carlos Natalino, Behnam Shariati, Pooyan Safari, et al.
Optical Fiber Communication Conference (OFC) 2022 (2024), pp. M1H.3-M1H.3
Open Access
Reducing Complexity and Enhancing Predictive Power of ML-Based Lightpath QoT Estimation via SHAP-Assisted Feature Selection
Hussein Fawaz, Farhad Arpanaei, Davide Andreoletti, et al.
(2024), pp. 1-6
Closed Access
Machine Learning Based Impairment-Aware Dynamic RMSCA in Multi-Core Elastic Optical Networks
Jaya Lakshmi Ravipudi, Maïté Brandt-Pearce
Journal of Optical Communications and Networking (2024) Vol. 16, Iss. 10, pp. F26-F26
Closed Access
Make optical transmission quality prediction more effective: A parallel computing view
Xiaochuan Sun, Shuohan Yang, Jinpeng Han, et al.
Optics Communications (2024) Vol. 571, pp. 130947-130947
Closed Access
Artificial Intelligence and Machine Learning in Optical Networking [Tutorial]
Christine Tremblay
Advanced Photonics Congress (2024) Vol. 21, pp. NeM4C.1-NeM4C.1
Closed Access
Integrating Knowledge Distillation and Transfer Learning for Enhanced QoT-Estimation in Optical Networks
Fehmida Usmani, Ihtesham Khan, Mehran Mehran, et al.
IEEE Access (2024) Vol. 12, pp. 156785-156802
Open Access
Machine learning model based on the time domain regular perturbation-based theory for performance estimation in arbitrary heterogeneous optical links
Xiaoyan Ye, Amirhossein Ghazisaeidi
Optical Fiber Technology (2024) Vol. 89, pp. 104063-104063
Closed Access
Self-Attention Mechanism-Based Multi-Channel QoT Estimation in Optical Networks
Yuhang Zhou, Xiaoli Huo, Zhiqun Gu, et al.
Photonics (2023) Vol. 10, Iss. 1, pp. 63-63
Open Access | Times Cited: 1
Machine Learning Based Lightpath Classifier for Impairment Aware Resource Allocation in SDM-EONs
Jaya Lakshmi Ravipudi, Maïlé Brandt-Pearce
(2023), pp. 1-6
Closed Access | Times Cited: 1
Mitigating network adaptation and QoT prediction challenges in WDM networks
Amit Kumar Garg, Saloni Rai
Journal of Optical Communications (2023)
Closed Access
Machine Learning based Multi-Parameter Light Path Quality of Transmission Estimation and Prediction in Optical Networks
M Krishna Naik, R. K. Jeyachitra, Pradeep Doss M
(2023), pp. 01-06
Closed Access
Field Trials of Communication and QoT Estimation over an SDM Optical Fiber Cable Network
Ying-Yu Chen, Hanyu Gao, Yongguang Xiao, et al.
(2023), pp. 1-4
Closed Access
Long-Short-Term QoT Prediction for Already Established Light-Path While Considering Light-Path Correlation
Chenyu Zhao, Xin Li, Lu Zhang, et al.
(2023), pp. 1-4
Closed Access
Designing of the Submarine Cable Backhaul Optical Transport Network and the Prediction of OSNR using Artificial Neural Network
Mohammad Rakibur Rahman -, Partha Mandal -, Abdullah Al Mahbub, et al.
International Journal For Multidisciplinary Research (2022) Vol. 4, Iss. 5
Open Access
Noise Prediction Based on Machine Learning in Quantum Secured SWDM B5G Fronthaul Networks
Chenglong Wang, Yongmei Sun, Weiwen Kong, et al.
(2022), pp. 1426-1431
Closed Access
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