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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:

Transfer learning for spatio-temporal transferability of real-time crash prediction models
Cheuk Ki Man, Mohammed Quddus, Athanasios Theofilatos
Accident Analysis & Prevention (2021) Vol. 165, pp. 106511-106511
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review
Yasir Ali, Fizza Hussain, Md. Mazharul Haque
Accident Analysis & Prevention (2023) Vol. 194, pp. 107378-107378
Open Access | Times Cited: 49
Developing new hybrid grey wolf optimization-based artificial neural network for predicting road crash severity
Vittorio Astarita, Sina Shaffiee Haghshenas, Giuseppe Guido, et al.
Transportation Engineering (2023) Vol. 12, pp. 100164-100164
Open Access | Times Cited: 28
Real-time crash risk prediction in freeway tunnels considering features interaction and unobserved heterogeneity: A two-stage deep learning modeling framework
Jieling Jin, Helai Huang, Yuan Chen, et al.
Analytic Methods in Accident Research (2023) Vol. 40, pp. 100306-100306
Closed Access | Times Cited: 21
A variable speed limit control approach for freeway tunnels based on the model-based reinforcement learning framework with safety perception
Jieling Jin, Ye Li, Helai Huang, et al.
Accident Analysis & Prevention (2024) Vol. 201, pp. 107570-107570
Closed Access | Times Cited: 10
Predicting and explaining lane-changing behaviour using machine learning: A comparative study
Yasir Ali, Fizza Hussain, Michiel C.J. Bliemer, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 145, pp. 103931-103931
Closed Access | Times Cited: 31
Evaluating the performance of traffic conflict measures in real-time crash risk prediction using pre-crash vehicle trajectories
Kequan Chen, Chengcheng Xu, Pan Liu, et al.
Accident Analysis & Prevention (2024) Vol. 203, pp. 107640-107640
Closed Access | Times Cited: 5
Utilizing YOLO Models for Real-World Scenarios: Assessing Novel Mixed Defect Detection Dataset in PCBs
Vinod Kumar Ancha, Fadi N. Sibai, Venkateswarlu Gonuguntla, et al.
IEEE Access (2024) Vol. 12, pp. 100983-100990
Open Access | Times Cited: 5
Hydrological prediction in ungauged basins based on spatiotemporal characteristics
Qun Zhao, Yuelong Zhu, Yanfeng Shi, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0313535-e0313535
Open Access
A deep transfer learning approach for Real-Time traffic conflict prediction with trajectory data
Qinzhong Hou, Yonghao Yang, Jun Liang, et al.
Accident Analysis & Prevention (2025) Vol. 214, pp. 107966-107966
Closed Access
Vehicles driving behavior recognition based on transfer learning
Shuyan Chen, Hong Yao, Fengxiang Qiao, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119254-119254
Closed Access | Times Cited: 25
Wasserstein Generative Adversarial Network to Address the Imbalanced Data Problem in Real-Time Crash Risk Prediction
Cheuk Ki Man, Mohammed Quddus, Athanasios Theofilatos, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 12, pp. 23002-23013
Closed Access | Times Cited: 22
Exploring key spatio-temporal features of crash risk hot spots on urban road network: A machine learning approach
Peijie Wu, Tianyi Chen, Yiik Diew Wong, et al.
Transportation Research Part A Policy and Practice (2023) Vol. 173, pp. 103717-103717
Closed Access | Times Cited: 15
Freeway real-time crash prediction using floating car data
Yifan Wang, Xuesong Wang, Tonggen Wang, et al.
Transportation Research Part C Emerging Technologies (2025) Vol. 171, pp. 105009-105009
Closed Access
Enhancing Crash Frequency Modeling Based on Augmented Multi-Type Data by Hybrid Vae-Diffusion-Based Generative Neural Networks
Junlan Chen, Qing He, Pei Liu, et al.
(2025)
Closed Access
Estimating real-time crash risk at signalized intersections: A Bayesian Generalized Extreme Value approach
Yasir Ali, Simon Washington, Md. Mazharul Haque
Safety Science (2023) Vol. 164, pp. 106181-106181
Open Access | Times Cited: 12
Calibrated confidence learning for large-scale real-time crash and severity prediction
Md. Rakibul Islam, Dongdong Wang, Mohamed Abdel‐Aty
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 3
Analysis of harsh braking and harsh acceleration occurrence via explainable imbalanced machine learning using high-resolution smartphone telematics and traffic data
Απόστολος Ζιακόπουλος
Accident Analysis & Prevention (2024) Vol. 207, pp. 107743-107743
Closed Access | Times Cited: 3
Analyzing urban traffic crash patterns through spatio-temporal data: A city-level study using a sparse non-negative matrix factorization model with spatial constraints approach
Jieling Jin, Pan Liu, Helai Huang, et al.
Applied Geography (2024) Vol. 172, pp. 103402-103402
Closed Access | Times Cited: 3
A genetic programming approach for real-time crash prediction to solve trade-off between interpretability and accuracy
Xiaochi Ma, Jian Lü, Xian Liu, et al.
Journal of Transportation Safety & Security (2022) Vol. 15, Iss. 4, pp. 421-443
Closed Access | Times Cited: 14
Enhanced YOLOv5 algorithm for helmet wearing detection via combining bi-directional feature pyramid, attention mechanism and transfer learning
Yinfeng Fang, Yuhang Ma, Xuguang Zhang, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 18, pp. 28617-28641
Closed Access | Times Cited: 8
Appraising Machine and Deep Learning Techniques for Traffic Conflict Prediction with Class Imbalance
Nicolette Formosa, Mohammed Quddus, Cheuk Ki Man, et al.
Data Science for Transportation (2023) Vol. 5, Iss. 2
Closed Access | Times Cited: 8
Data generation for connected and automated vehicle tests using deep learning models
Ye Li, Fei Liu, Lu Xing, et al.
Accident Analysis & Prevention (2023) Vol. 190, pp. 107192-107192
Closed Access | Times Cited: 8
An Ensemble Method for Investigating Maritime Casualties Resulting in Pollution Occurrence: Data Augmentation and Feature Analysis
Duowei Li, Yiik Diew Wong, Tianyi Chen, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110391-110391
Closed Access | Times Cited: 2
Hybrid deep learning approach for rock tunnel deformation prediction based on spatio-temporal patterns
Junfeng Sun, Yong Fang, H. Luo, et al.
Underground Space (2024) Vol. 20, pp. 100-118
Closed Access | Times Cited: 2
The Geometry of Feature Space in Deep Learning Models: A Holistic Perspective and Comprehensive Review
Minhyeok Lee
Mathematics (2023) Vol. 11, Iss. 10, pp. 2375-2375
Open Access | Times Cited: 6
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