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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:

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: 104

Showing 1-25 of 104 citing articles:

Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction
Jian Chen, Zheng Li, Yuzhu Hu, et al.
Information Fusion (2023) Vol. 104, pp. 102146-102146
Closed Access | Times Cited: 54
The smart future for sustainable development: Artificial intelligence solutions for sustainable urbanization
Marwan Al‐Raeei
Sustainable Development (2024)
Closed Access | Times Cited: 22
Challenges and opportunities in traffic flow prediction: review of machine learning and deep learning perspectives
Syed Aleem Uddin Gilani, Murad Al-Rajab, Mahmoud Bakka
Data & Metadata (2024) Vol. 3, pp. 378-378
Closed Access | Times Cited: 20
Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review
Enyu Zhou, Qin Shen, Yang Hou
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 19
AI-Driven Approach for Enhancing Sustainability in Urban Public Transportation
Violeta Lukic Vujadinovic, Alеksаndаr Dаmnjаnоvić, Aleksandar Cakic, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7763-7763
Open Access | Times Cited: 12
ST-DAGCN: A spatiotemporal dual adaptive graph convolutional network model for traffic prediction
Yutian Liu, Tao Feng, Soora Rasouli, et al.
Neurocomputing (2024) Vol. 601, pp. 128175-128175
Closed Access | Times Cited: 9
GT-LSTM: A spatio-temporal ensemble network for traffic flow prediction
Yong Luo, Jianying Zheng, Xiang Wang, et al.
Neural Networks (2023) Vol. 171, pp. 251-262
Closed Access | Times Cited: 18
Methods for Risk Reduction: Modelling Users’ Updating Utilities in Urban Transport Networks
Giuseppe Musolino
Sustainability (2024) Vol. 16, Iss. 6, pp. 2468-2468
Open Access | Times Cited: 6
Streets classification models by urban features for road traffic noise estimation
Alexandra L. Montenegro, Guillermo Rey Gozalo, Jorge P. Arenas, et al.
The Science of The Total Environment (2024) Vol. 932, pp. 173005-173005
Open Access | Times Cited: 6
An Intelligent Deep Learning Framework for Traffic Flow Imputation and Short-term Prediction Based on Dynamic Features
Xianhui Zong, Yong Qi, He Yan, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112178-112178
Closed Access | Times Cited: 6
Urban Traffic Flow Estimation System Based on Gated Recurrent Unit Deep Learning Methodology for Internet of Vehicles
Abdul Hussain Ali Hussain, Montadar Abas Taher, Omar Abdulkareem Mahmood, et al.
IEEE Access (2023) Vol. 11, pp. 58516-58531
Open Access | Times Cited: 13
Problem-Specific Knowledge Based Multi-Objective Meta-Heuristics Combined Q-Learning for Scheduling Urban Traffic Lights With Carbon Emissions
Zhongjie Lin, Kaizhou Gao, Naiqi Wu, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 15053-15064
Closed Access | Times Cited: 5
Multimodal fusion for large-scale traffic prediction with heterogeneous retentive networks
Yimo Yan, Songyi Cui, Jiahui Liu, et al.
Information Fusion (2024), pp. 102695-102695
Closed Access | Times Cited: 5
Aggregated Zero-Knowledge Proof and Blockchain-Empowered Authentication for Autonomous Truck Platooning
Wanxin Li, Collin Meese, Hao Guo, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 9, pp. 9309-9323
Open Access | Times Cited: 12
Transfer Learning-Based Deep Reinforcement Learning Approach for Robust Route Guidance in Mixed Traffic Environment
Donghoun Lee
IEEE Access (2024) Vol. 12, pp. 61667-61680
Open Access | Times Cited: 4
GECRAN: Graph embedding based convolutional recurrent attention network for traffic flow prediction
Jianqiang Yan, Lin Zhang, Yuan Gao, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 125001-125001
Open Access | Times Cited: 4
An Integrated Framework of Routing and Rebalancing for Robotaxi Systems
Aoyong Li, Wei Zhang, Kai Wang, et al.
(2025)
Closed Access
Enhancing Communication Networks in the New Era with Artificial Intelligence: Techniques, Applications, and Future Directions
Mohammed El‐Hajj
Network (2025) Vol. 5, Iss. 1, pp. 1-1
Open Access
Zooming into Berlin: tracking street-scale CO2 emissions based on high-resolution traffic modeling using machine learning
Max Anjos, Fred Meier
Frontiers in Environmental Science (2025) Vol. 12
Open Access
Traffic Forecasting Using Federated Randomized High-Order Fuzzy Cognitive Maps
Omid Orang, F Silva, Petrônio Cândido de Lima e Silva, et al.
Lecture notes in computer science (2025), pp. 445-459
Closed Access
Advances in Traffic Congestion Prediction: An Overview of Emerging Techniques and Methods
Aristeidis Mystakidis, Paraskevas Koukaras, Christos Tjortjis
Smart Cities (2025) Vol. 8, Iss. 1, pp. 25-25
Open Access
Smart Organization of Imbalanced Traffic Datasets for Long-Term Traffic Forecasting
M. Kara, H. İrem Türkmen, M. Amaç Güvensan
Sensors (2025) Vol. 25, Iss. 4, pp. 1225-1225
Open Access
Advancing urban hub planning: A bibliometric analysis of concepts, effects evaluation, and spatial design
Xiaodong Xu, Shiqi Zhou, Haowen Xu, et al.
Land Use Policy (2025) Vol. 152, pp. 107507-107507
Closed Access
Heterogeneous Multi-Agent Reinforcement Learning for Cooperative Control of Vehicles and Traffic Lights in Mixed Traffic Scenarios
Bowen Chen, Wei Fang, Fengxiang Guo, et al.
(2025)
Closed Access
Spatio-temporal Graph Neural Network Fused with Maritime Knowledge for Predicting Traffic Flows in Ports
Qiang Mei, Zhaoxuan Li, Qinyou Hu, et al.
Regional Studies in Marine Science (2025), pp. 104106-104106
Closed Access
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