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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:

A Review of Traffic Congestion Prediction Using Artificial Intelligence
Mahmuda Akhtar, Sara Moridpour
Journal of Advanced Transportation (2021) Vol. 2021, pp. 1-18
Open Access | Times Cited: 184

Showing 1-25 of 184 citing articles:

AI enabled applications towards intelligent transportation
Lakshmi Iyer
Transportation Engineering (2021) Vol. 5, pp. 100083-100083
Open Access | Times Cited: 187
A Review of Vision-Based Traffic Semantic Understanding in ITSs
Jing Chen, Qichao Wang, Harry H. Cheng, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 11, pp. 19954-19979
Closed Access | Times Cited: 128
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
Traffic management approaches using machine learning and deep learning techniques: A survey
Hanan Muqbil Almukhalfi, Ayman Noor, Talal H. Noor
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108147-108147
Closed Access | Times Cited: 26
Human-centered GeoAI foundation models: where GeoAI meets human dynamics
Xinyue Ye, Jiaxin Du, Xinyu Li, et al.
Urban Informatics (2025) Vol. 4, Iss. 1
Open Access | Times Cited: 2
Data-driven approaches for road safety: A comprehensive systematic literature review
Ammar Sohail, Muhammad Aamir Cheema, Mohammed Eunus Ali, et al.
Safety Science (2022) Vol. 158, pp. 105949-105949
Closed Access | Times Cited: 47
The Use of Artificial Intelligence to Optimize the Routing of Vehicles and Reduce Traffic Congestion in Urban Areas
Srishti Dikshit, Areeba Atiq, Mohammad Shahid, et al.
EAI Endorsed Transactions on Energy Web (2023) Vol. 10
Open Access | Times Cited: 29
Examining Car Accident Prediction Techniques and Road Traffic Congestion: A Comparative Analysis of Road Safety and Prevention of World Challenges in Low-Income and High-Income Countries
Yetay Berhanu, Esayas Alemayehu, Dietrich Schröder
Journal of Advanced Transportation (2023) Vol. 2023, pp. 1-18
Open Access | Times Cited: 28
Artificial Intelligence (AI) and Internet of Things (IoT) - based sensors for monitoring and controlling in architecture, engineering, and construction: applications, challenges, and opportunities
Nitin Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 26
The Use of Artificial Intelligence (AI) in Qualitative Research for Theory Development
Prokopis Christou
The Qualitative Report (2023)
Open Access | Times Cited: 22
Exploring the Intersection of Machine Learning and Big Data: A Survey
Ηλίας Δρίτσας, Μαρία Τρίγκα
Machine Learning and Knowledge Extraction (2025) Vol. 7, Iss. 1, pp. 13-13
Open Access | Times Cited: 1
Big Data in Forecasting Research: A Literature Review
Ling Tang, Jieyi Li, Hongchuan Du, et al.
Big Data Research (2021) Vol. 27, pp. 100289-100289
Closed Access | Times Cited: 46
The Dual Role of Artificial Intelligence in Developing Smart Cities
Maria Enrica Zamponi, Enrico Barbierato
Smart Cities (2022) Vol. 5, Iss. 2, pp. 728-755
Open Access | Times Cited: 34
A Comparative Study of Ensemble Models for Predicting Road Traffic Congestion
Tebogo Bokaba, Wesley Doorsamy, Babu Sena Paul
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1337-1337
Open Access | Times Cited: 28
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty
Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 8, pp. 9354-9363
Open Access | Times Cited: 16
A comprehensive review on intelligent traffic management using machine learning algorithms
Yash Modi, Ridham Teli, Akshat Mehta, et al.
Innovative Infrastructure Solutions (2021) Vol. 7, Iss. 1
Closed Access | Times Cited: 33
A Neuro-Fuzzy Approach to Road Traffic Congestion Prediction
Mohammed Gollapalli, Atta Rahman, Dhiaa Musleh, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 73, Iss. 1, pp. 295-310
Open Access | Times Cited: 25
Urban traffic congestion in twelve large metropolitan cities: A thematic analysis of local news contents, 2009–2018
Zhiran Huang, Becky P.Y. Loo
International Journal of Sustainable Transportation (2022) Vol. 17, Iss. 6, pp. 592-614
Closed Access | Times Cited: 23
Machine Learning Applications in Surface Transportation Systems: A Literature Review
Hojat Behrooz, Yeganeh M. Hayeri
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 9156-9156
Open Access | Times Cited: 23
BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction
Collin Meese, Hang Chen, Syed Ali Asif, et al.
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (2022), pp. 317-326
Open Access | Times Cited: 22
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
Brain activity patterns reflecting security perceptions of female cyclists in virtual reality experiments
Mohammad Arbabpour Bidgoli, Arian Behmanesh, Navid Khademi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Concatenated Attention: A Novel Method for Regulating Information Structure Based on Sensors
Zeyu Zhang, Tianqi Chen, Yuki Todo
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 523-523
Open Access
Disaggregate travel demand analysis using big data sources: unsupervised learning methods for data-driven trip purpose estimation
Pierluigi Coppola, Fulvio Silvestri, Francesco De Fabiis, et al.
Transportation research procedia (2025) Vol. 82, pp. 1824-1838
Open Access
Slow traffic, fast food: The effects of time lost on food store choice
Panka Bencsik, Lester Lusher, Rebecca Taylor
Journal of Urban Economics (2025) Vol. 146, pp. 103737-103737
Open Access
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