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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:

Transparent deep machine learning framework for predicting traffic crash severity
Karim Sattar, Feras Chikh Oughali, Khaled Assi, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 2, pp. 1535-1547
Closed Access | Times Cited: 50

Showing 1-25 of 50 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: 59
Learning spatial patterns and temporal dependencies for traffic accident severity prediction: A deep learning approach
Fares Alhaek, Weichao Liang, Taha M. Rajeh, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111406-111406
Closed Access | Times Cited: 26
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: 30
A hybrid approach of random forest and random parameters logit model of injury severity modeling of vulnerable road users involved crashes
Zhiyuan Sun, Duo Wang, Xin Gu, et al.
Accident Analysis & Prevention (2023) Vol. 192, pp. 107235-107235
Closed Access | Times Cited: 29
Revolutionizing Target Detection in Intelligent Traffic Systems: YOLOv8-SnakeVision
Qi Liu, Yang Liu, Da Lin
Electronics (2023) Vol. 12, Iss. 24, pp. 4970-4970
Open Access | Times Cited: 25
GC-YOLOv9: Innovative smart city traffic monitoring solution
Ru An, Xiaochun Zhang, Maopeng Sun, et al.
Alexandria Engineering Journal (2024) Vol. 106, pp. 277-287
Open Access | Times Cited: 14
Advancing Autonomous Vehicle Safety: Machine Learning to Predict Sensor-Related Accident Severity
Rahman Shafique, Furqan Rustam, Sheriff Murtala, et al.
IEEE Access (2024) Vol. 12, pp. 25933-25948
Open Access | Times Cited: 10
YOLOv8-Lite: A Lightweight Object Detection Model for Real-time Autonomous Driving Systems
Yang Ming, Xiangyu Fan
(2024) Vol. 1, Iss. 1, pp. 1-16
Closed Access | Times Cited: 9
Research on Traffic Accident Severity Level Prediction Model Based on Improved Machine Learning
J. K. K. Tang, Yao Zhi Huang, Dingli Liu, et al.
Systems (2025) Vol. 13, Iss. 1, pp. 31-31
Open Access | Times Cited: 1
Assessment of the level of road crash severity: Comparison of intelligence studies
Sina Shaffiee Haghshenas, Giuseppe Guido, Alessandro Vitale, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121118-121118
Open Access | Times Cited: 20
Severity Prediction of Highway Crashes in Saudi Arabia Using Machine Learning Techniques
Ibrahim Aldhari, Meshal Almoshaogeh, Arshad Jamal, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 233-233
Open Access | Times Cited: 20
A novel one-vs-rest consensus learning method for crash severity prediction
Syed Fawad Hussain, Muhammad Ashraf
Expert Systems with Applications (2023) Vol. 228, pp. 120443-120443
Open Access | Times Cited: 12
Spatial risk assessment of maritime transportation in offshore waters of China using machine learning and geospatial big data
Xiao Zhou
Ocean & Coastal Management (2023) Vol. 247, pp. 106934-106934
Closed Access | Times Cited: 12
A Deep Ensemble Approach for Long-Term Traffic Flow Prediction
Nevin Cini, Zafer Aydin
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 9, pp. 12377-12392
Open Access | Times Cited: 4
Enhancing smart road safety with federated learning for Near Crash Detection to advance the development of the Internet of Vehicles
Youcef Djenouri, Ahmed Nabil Belbachir, Tomasz Michalak, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108350-108350
Open Access | Times Cited: 4
Effectiveness of Data Imbalance Treatment in Weather-Related Crash Severity Analysis
Abimbola Ogungbire, Srinivas S. Pulugurtha
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access | Times Cited: 4
Study on Traffic Accident Forecast of Urban Excess Tunnel Considering Missing Data Filling
Yang Shen, Changjiang Zheng, Fei Wu
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6773-6773
Open Access | Times Cited: 10
Feature group tabular transformer: a novel approach to traffic crash modeling and causality analysis
Oscar Lares, Zhen Hao, Jidong Yang
Applied Computing and Intelligence (2025) Vol. 5, Iss. 1, pp. 29-56
Open Access
Factors Affecting the Injury Severity of Head-On Crashes on Undivided Rural Roads under Different Weather Conditions
Meysam Effati, Mehdi Ebrahimi Darkhaneh, Mahyar Arabani
International Journal of Transportation Science and Technology (2025)
Open Access
Quantitative identification of crack damage in composite offshore wind turbine blades considering environmental aging
Haiyang Xu, Bohan Wang, Yuqin Zhu, et al.
Measurement (2025), pp. 117248-117248
Closed Access
Predicting the Level of Road Crash Severity: A Comparative Analysis of Logit Model and Machine Learning Models
Sina Shaffiee Haghshenas, Giuseppe Guido, Sina Shaffiee Haghshenas, et al.
Transportation Engineering (2025), pp. 100323-100323
Open Access
Examining the Impact of Spatial Inequality in Socio-Demographic and Commute Patterns on Traffic Crash Rates: Insights from Interpretable Machine Learning and Spatial Statistical Models
Pengfei Cui, Mohamed Abdel‐Aty, Chenzhu Wang, et al.
Transport Policy (2025)
Closed Access
A novel approach to traffic modelling based on road parameters, weather conditions and GPS data using feedforward neural networks
Igor Betkier, Mateusz Oszczypała
Expert Systems with Applications (2023) Vol. 245, pp. 123067-123067
Open Access | Times Cited: 8
Enhancing road safety with machine learning: Current advances and future directions in accident prediction using non-visual data
Albe Bing Zhe Chai, Lau Bee Theng, Mark Tee Kit Tsun, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109086-109086
Open Access | Times Cited: 3
Analysis of vehicle pedestrian crash severity using advanced machine learning techniques
Siyab Ul Arifeen, Mujahid Ali, Elżbieta Macioszek
Archives of Transport (2023) Vol. 68, Iss. 4, pp. 91-116
Open Access | Times Cited: 7
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