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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:

Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation
Gabriel O. Ferreira, Chiara Ravazzi, Fabrizio Dabbene, et al.
IEEE Access (2023) Vol. 11, pp. 6018-6044
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Mobile Traffic Prediction in Consumer Applications: A Multimodal Deep Learning Approach
Weiwei Jiang, Yang Zhang, Haoyu Han, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 3425-3435
Closed Access | Times Cited: 21
Hybrid learning strategies for multivariate time series forecasting of network quality metrics
Mario Di Mauro, Giovanni Galatro, F. Postiglione, et al.
Computer Networks (2024) Vol. 243, pp. 110286-110286
Open Access | Times Cited: 8
Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps
Idio Guarino, Giuseppe Aceto, Domenico Ciuonzo, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 1299-1324
Open Access | Times Cited: 6
Deep Learning on Network Traffic Prediction: Recent Advances, Analysis, and Future Directions
Ons Aouedi, Van An Le, Kandaraj Piamrat, et al.
ACM Computing Surveys (2025)
Open Access
Advanced Network Traffic Prediction Using Deep Learning Techniques: A Comparative Study of SVR, LSTM, GRU, and Bidirectional LSTM Models
Yuxin Wang
ITM Web of Conferences (2025) Vol. 70, pp. 03021-03021
Open Access
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting
Josef Koumar, Karel Hynek, Tomáš Čejka, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
A scalable federated learning-based approach for accurate traffic prediction in edge computing-enable metro optical network
Citong Que, Faisal Nadeem Khan
Computers & Industrial Engineering (2025), pp. 111004-111004
Closed Access
Enhancing the effluent prediction accuracy with insufficient data based on transfer learning and LSTM algorithm in WWTPs
Yadan Yu, Yangwu Chen, Shunbo Huang, et al.
Journal of Water Process Engineering (2024) Vol. 62, pp. 105267-105267
Closed Access | Times Cited: 4
Mobile network traffic analysis based on probability-informed machine learning approach
Andrey Gorshenin, Anastasia Kozlovskaya, Sergey Gorbunov, et al.
Computer Networks (2024) Vol. 247, pp. 110433-110433
Closed Access | Times Cited: 3
Enhanced Multi-Task Traffic Forecasting in Beyond 5G Networks: Leveraging Transformer Technology and Multi-Source Data Fusion
Ibrahim Althamary, Rubbens Boisguene, Chih‐Wei Huang
Future Internet (2024) Vol. 16, Iss. 5, pp. 159-159
Open Access | Times Cited: 2
Network traffic prediction by learning time series as images
Reham Kablaoui, Imtiaz Ahmad, Sa’ed Abed, et al.
Engineering Science and Technology an International Journal (2024) Vol. 55, pp. 101754-101754
Open Access | Times Cited: 1
Spatial-Temporal Dynamic Graph Convolutional Neural Network for Traffic Prediction
Xiao Wen-juan, Wang Xiao-ming
IEEE Access (2023) Vol. 11, pp. 97920-97929
Open Access | Times Cited: 2
Evaluating Recurrent Neural Networks for prediction of Multi- Variate time series VoIP metrics
Mario Di Mauro, Giovanni Galatro, F. Postiglione, et al.
(2024), pp. 1-8
Closed Access
Short-Term Traffic Prediction
S. Jothishwar, Visnu Dharsini S., S. Dinesh, et al.
Advances in computational intelligence and robotics book series (2024), pp. 383-396
Closed Access
Comparing ARMA and ARIMA for Modeling Time Series in Wireless Communications
Rajesh Guputa, Shashank Mishra, M. Karthikeyan
(2024), pp. 1-7
Closed Access
Generative Spatiotemporal Image Exploitation for Datacenter Traffic Prediction
Gyurin Byun, Huigyu Yang, Syed M. Raza, et al.
(2024)
Closed Access
A deep learning based communication traffic prediction approach for smart monitoring of distributed energy resources in virtual power plants
Meng Hou, Shidong Liu, Qingrong Zheng, et al.
IET Smart Grid (2024) Vol. 7, Iss. 5, pp. 653-671
Open Access
Proposal of temporal feature layers for network traffic dataset generation using C-GAN
Yukito Onodera, Erina Takeshita, Tomoya Kosugi, et al.
IEICE Communications Express (2024) Vol. 13, Iss. 8, pp. 319-322
Open Access
Network Traffic Forecasting Model Based on Improved Fireworks Algorithm Optimized CNN-BiGRU
Han Qi, Abdullah Gani, dianshuo Fu, et al.
(2024), pp. 802-805
Closed Access
HSeq2Seq: Hierarchical graph neural network for accurate mobile traffic forecasting
R. Xie, Xuefeng Guan, Jun Cao, et al.
Information Sciences (2024) Vol. 679, pp. 120982-120982
Closed Access
A Framework for Enhanced Time Series Forecasting of Internet Traffic Based on AdaBoost-LSTM Integration
Qicheng Zhang
(2024), pp. 348-353
Closed Access
Estimation of Suitable Low-Frequency Passbands of MMFs using Neural Network
Jaruwat Patmanee, Chairat Pinthong, Surachet Kanprachar
(2024), pp. 1-6
Closed Access
Machine Learning Assisted Provisioning of Time-Varying Traffic in Translucent Optical Networks
Adam Włodarczyk, Aleksandra Knapińska, Piotr Lechowicz, et al.
IEEE Access (2024) Vol. 12, pp. 110193-110212
Open Access
XAI-Guided Optimization of a Multilayer Network Regression Model
Katarzyna Duszyńska, Pawel Polski, Michał Włosek, et al.
(2024), pp. 769-774
Closed Access
A Contextual Approach for Improving Anomalous Network Traffic Flows Prediction
Eilaf M.A Babai, Koji Okamura
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2024), pp. 2203-2208
Closed Access
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