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:

Comparison of Machine Learning Techniques Applied to Traffic Prediction of Real Wireless Network
Daria Alekseeva, Nikolai Stepanov, Albert Veprev, et al.
IEEE Access (2021) Vol. 9, pp. 159495-159514
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

An Ensemble-Based Machine Learning Model for Forecasting Network Traffic in VANET
Parvin Ahmadi Doval Amiri, Samuel Pierre
IEEE Access (2023) Vol. 11, pp. 22855-22870
Open Access | Times Cited: 18
Rupiah Exchange Rate Prediction with Long Short-Term Memory Algorithm
Ayu Poernomo
Syntax Literate Jurnal Ilmiah Indonesia (2025) Vol. 10, Iss. 1, pp. 122-130
Open Access
Enhancing Extended Reality assisted surgery through a Field-of-View video delivery optimization
Daria Alekseeva, Anzhelika Mezina, Radim Bürget, et al.
Computer Networks (2025), pp. 111093-111093
Closed Access
Evaluating AI Approaches for 5G Network Traffic Prediction: A Comparative Analysis
Alaa Hussien, Heba Nashaat, Rehab F. Abdel‐Kader
Lecture notes on data engineering and communications technologies (2025), pp. 124-135
Closed Access
Machine Learning-Based Cellular Traffic Prediction Using Data Reduction Techniques
Heba Nashaat, Nihal H. Mohammed, Salah Abdel-Mageid, et al.
IEEE Access (2024) Vol. 12, pp. 58927-58939
Open Access | Times Cited: 3
Graph Neural Networks for Routing Optimization: Challenges and Opportunities
Weiwei Jiang, Haoyu Han, Yang Zhang, et al.
Sustainability (2024) Vol. 16, Iss. 21, pp. 9239-9239
Open Access | Times Cited: 2
Automatic Fault Detection and Diagnosis in Cellular Networks and Beyond 5G: Intelligent Network Management
Arun Kumar Sangaiah, Samira Rezaei, Amir Javadpour, et al.
Algorithms (2022) Vol. 15, Iss. 11, pp. 432-432
Open Access | Times Cited: 12
Forecasting Network Interface Flow Using a Broad Learning System Based on the Sparrow Search Algorithm
Xiaoyu Li, Shaobo Li, Peng Zhou, et al.
Entropy (2022) Vol. 24, Iss. 4, pp. 478-478
Open Access | Times Cited: 10
Resource Management in 5G Networks Assisted by UAV Base Stations: Machine Learning for Overloaded Macrocell Prediction Based on Users’ Temporal and Spatial Flow
Rodrigo Alfaia, Anderson Souto, Evelin Helena Silva Cardoso, et al.
Drones (2022) Vol. 6, Iss. 6, pp. 145-145
Open Access | Times Cited: 10
A comparative study of cellular traffic prediction mechanisms
Eduardo Santos Escriche, Stavroula Vassaki, Gunnar Peters
Wireless Networks (2023) Vol. 29, Iss. 5, pp. 2371-2389
Closed Access | Times Cited: 5
Categorical learning for automated network traffic categorization for future generation networks in SDN
Suguna Paramasivam, R. Leela Velusamy, J. V. Nishaanth
Computing (2024) Vol. 106, Iss. 5, pp. 1451-1473
Closed Access | Times Cited: 1
Learning-powered migration of social digital twins at the network edge
Olga Chukhno, Nadezhda Chukhno, Giuseppe Araniti, et al.
Computer Communications (2024) Vol. 226-227, pp. 107918-107918
Open Access | Times Cited: 1
A MACHINE LEARNING APPROACH FOR PREDICTIVE ANALYSIS OF TRAFFIC FLOW
Poonam Bhartiya, Mukta Bhatele, Akhilesh A. Waoo
ShodhKosh Journal of Visual and Performing Arts (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 1
Prediction and influence factors analysis of IP backbone network traffic based on Prophet model and variance reduction
Xuan Wei
Heliyon (2024) Vol. 11, Iss. 1, pp. e41472-e41472
Open Access | Times Cited: 1
Users’ Evaluation of Traffic Congestion in LTE Networks using Machine Learning Techniques
Bamidele Moses Kuboye, Adedamola Israel Adedipe, S Oloja, et al.
Artificial Intelligence Advances (2023) Vol. 5, Iss. 1, pp. 8-24
Open Access | Times Cited: 3
On Applicability of Imagery-Based CNN to Computational Offloading Location Selection
Aleksandr Ometov, Anzhelika Mezina, Jari Nurmi
IEEE Access (2022) Vol. 11, pp. 2433-2444
Open Access | Times Cited: 5
Comparative Study of Base Transceiver Stations Infrastructure Planning Using Machine Learning for Under Construction Area: A Case Study of Ibu Kota Nusantara
Alfiyah Shaldzabila Yustin, Catur Apriono
Green Intelligent Systems and Applications (2024) Vol. 4, Iss. 2, pp. 54-65
Open Access
Empowering C-V2X Through Advanced Joint Traffic Prediction in Urban Networks
Chaojin Mao, Liang Zhao, Zhi Liu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 39780-39793
Closed Access
Predicting Smart City Traffic Models using Adaboost Regression Method
Özlem Bezek Güre
European Journal of Technic (2024)
Open Access
THE ROLE OF DEEP LEARNING IN EXPLORING TRAFFIC PREDICTION TECHNIQUES
Poonam Bhartiya, Mukta Bhatele, Akhilesh A. Waoo
ShodhKosh Journal of Visual and Performing Arts (2024) Vol. 5, Iss. 1
Closed Access
Network Traffic Prediction Performance Using LSTM
Khirota Gorgees Yalda, D. Hamad, Nicolae Ţãpuş
Romanian Journal of Information Science and Technology (2024) Vol. 27, Iss. 3-4, pp. 336-347
Closed Access
Machine Learning Technique Based on Gaussian Mixture Model for Environment Friendly Communications
Oleksii Holubnychyi, Yevhen Gabrousenko, А. Г. Тараненко, et al.
Lecture notes on data engineering and communications technologies (2023), pp. 13-29
Closed Access | Times Cited: 1
Gradient Boosting Optimized Through Differential Evolution for Predicting the Testing Effort of Software Projects
Ángel J. Sánchez-García, Cuauhtémoc López‐Martín, Alain Abran
IEEE Access (2023) Vol. 11, pp. 135235-135254
Open Access | Times Cited: 1
A Soft Voting Classification Model for Network Traffic Prediction in VANET/V2X
Parvin Ahmadi Doval Amiri, Samuel Pierre
(2023), pp. 231-236
Closed Access
The Effect of The Prediction of The K-Nearest Neighbor Algorithm on Surviving COVID-19 Patients in Indonesia
Aris Martono, Henderi Henderi, Giandari Maulani
ILKOM Jurnal Ilmiah (2023) Vol. 15, Iss. 2, pp. 240-249
Open Access
Page 1 - Next Page

Scroll to top