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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:

Applying Hybrid Lstm-Gru Model Based on Heterogeneous Data Sources for Traffic Speed Prediction in Urban Areas
Noureen Zafar, Irfan Ul Haq, Jawad-ur-Rehman Chughtai, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3348-3348
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities
Maryam Shaygan, Collin Meese, Wanxin Li, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 145, pp. 103921-103921
Open Access | Times Cited: 99
DeepLG SecNet: utilizing deep LSTM and GRU with secure network for enhanced intrusion detection in IoT environments
N. Manikandan, K. Pradeep, Gobalakrishnan Natesan, et al.
Cluster Computing (2024) Vol. 27, Iss. 4, pp. 5459-5471
Closed Access | Times Cited: 16
Advanced series decomposition with a gated recurrent unit and graph convolutional neural network for non-stationary data patterns
Huimin Han, Harold Neira-Molina, Asad Khan, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Novel polynomial Abet data augmentation algorithm with GRU paradigm for nuclear power prediction
Saifullah Khan, Saeed Ehsan Awan, Yasir Muhammad, et al.
Annals of Nuclear Energy (2024) Vol. 201, pp. 110441-110441
Closed Access | Times Cited: 5
Short-term Freeway Traffic Speed Multistep Prediction using an iTransformer Model
Yajie Zou, Yubin Chen, Ying Xu, et al.
Physica A Statistical Mechanics and its Applications (2024), pp. 130185-130185
Closed Access | Times Cited: 4
Quality of Service-Based Traffic Prediction Mechanism for Autonomous Vehicles Using Artificial Intelligence
Alok Kumar, Deepanshu Garg, Geetika Sharma
Algorithms for intelligent systems (2025), pp. 199-211
Closed Access
Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities
Vasilis Papastefanopoulos, Pantelis Linardatos, Theodor Panagiotakopoulos, et al.
Smart Cities (2023) Vol. 6, Iss. 5, pp. 2519-2552
Open Access | Times Cited: 11
A Hybrid Univariate Traffic Congestion Prediction Model for IoT-Enabled Smart City
Ayushi Chahal, Preeti Gulia, Nasib Singh Gill, et al.
Information (2023) Vol. 14, Iss. 5, pp. 268-268
Open Access | Times Cited: 9
Forecasting material quantity using machine learning and times series techniques
Hanane Zermane, Hassina Madjour, Ahcene Ziar, et al.
Journal of Electrical Engineering (2024) Vol. 75, Iss. 3, pp. 237-248
Open Access | Times Cited: 3
Real-Time Prediction of Urban Traffic Problems Based on Artificial Intelligence-Enhanced Mobile Ad Hoc Networks (MANETS)
Ahmed Alhussen, Arshiya S. Ansari
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 2, pp. 1903-1923
Open Access | Times Cited: 2
An adaptive composite time series forecasting model for short-term traffic flow
Qitan Shao, Xinglin Piao, Xiangyu Yao, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Bitcoin price prediction using LSTM, GRU and hybrid LSTM-GRU with bayesian optimization, random search, and grid search for the next days
I.sibel KERVANCI, Mehmet Fatih Akay, Eren Özceylan
Journal of Industrial and Management Optimization (2023) Vol. 20, Iss. 2, pp. 570-588
Open Access | Times Cited: 5
A Review of State of the Art Deep Learning Models for Ontology Construction
Tsitsi Zengeya, Jean Vincent Fonou-Dombeu
IEEE Access (2024) Vol. 12, pp. 82354-82383
Open Access | Times Cited: 1
Spatio-temporal graph neural networks for missing data completion in traffic prediction
Jiahui Chen, Lina Yang, Yi Yang, et al.
International Journal of Geographical Information Science (2024), pp. 1-19
Closed Access | Times Cited: 1
Deep Learning Algorithms for Traffic Forecasting: A Comprehensive Review and Comparison with Classical Ones
Shahriar Afandizadeh Zargari, Saeid Abdolahi, Hamid Mirzahossein
Journal of Advanced Transportation (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Multi-output behavioral cloning framework: A knowledge-based predictive control methodology based on deep learning for wastewater treatment plants
Sheng Miao, Xuefei Li, Huaying Sun, et al.
Journal of Water Process Engineering (2024) Vol. 69, pp. 106813-106813
Closed Access | Times Cited: 1
Estimating Travel Time for Autonomous Mobile Robots through Long Short-Term Memory
Alexandru Matei, Stefan-Alexandru Precup, Dragoş Circa, et al.
Mathematics (2023) Vol. 11, Iss. 7, pp. 1723-1723
Open Access | Times Cited: 4
A Double-Layer Vehicle Speed Prediction Based on BPNN-LSTM for Off-Road Vehicles
Jichao Liu, Yanyan Liang, Zheng Chen, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6385-6385
Open Access | Times Cited: 4
Travel Time Prediction Using Hybridized Deep Feature Space and Machine Learning Based Heterogeneous Ensemble
Jawad-ur-Rehman Chughtai, Irfan Ul Haq, Omair Shafiq, et al.
IEEE Access (2022) Vol. 10, pp. 98127-98139
Open Access | Times Cited: 6
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection
Chao Huang, Shengxian Ding, Shihua Li, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 5, pp. 5848-5856
Closed Access | Times Cited: 5
PredHonk: A Framework to Predict Vehicular Honk Count using Deep Learning Models
Biswajit Maity, Maddu Amar Sri Lakshmi Prasanna Trinath, Sanghita Bhattacharjee, et al.
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) (2022), pp. 1-6
Closed Access | Times Cited: 5
A Heterogeneous Ensemble Approach for Travel Time Prediction Using Hybridized Feature Spaces and Support Vector Regression
Jawad-ur-Rehman Chughtai, Irfan Ul Haq, Saif ul Islam, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9735-9735
Open Access | Times Cited: 4
DataFITS: A Heterogeneous Data Fusion Framework for Traffic and Incident Prediction
Philipp Zißner, Paulo H. L. Rettore, Bruno P. Santos, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 10, pp. 11466-11478
Open Access | Times Cited: 2
Exploration of hybrid deep learning algorithms for covid-19 mrna vaccine degradation prediction system
Soon Hwai Ing, Azian Azamimi Abdullah, ‪Mohd Yusoff Mashor, et al.
International Journal of Advances in Intelligent Informatics (2022) Vol. 8, Iss. 3, pp. 404-404
Open Access | Times Cited: 3
Improving Road Traffic Speed Prediction Using Data Augmentation: A Deep Generative Models-based Approach
Redouane Benabdallah Benarmas, Kadda Beghdad Bey
Annals of Data Science (2024) Vol. 11, Iss. 6, pp. 2199-2216
Closed Access
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