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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:

An ensemble machine learning‐based modeling framework for analysis of traffic crash frequency
Xiang Zhang, S. Travis Waller, Peng Jiang
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 35, Iss. 3, pp. 258-276
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP
Xiao Wen, Yuanchang Xie, Lingtao Wu, et al.
Accident Analysis & Prevention (2021) Vol. 159, pp. 106261-106261
Closed Access | Times Cited: 205
Handling Imbalanced Data in Road Crash Severity Prediction by Machine Learning Algorithms
Nicholas Fiorentini, Massimo Losa
Infrastructures (2020) Vol. 5, Iss. 7, pp. 61-61
Open Access | Times Cited: 105
Droughts across China: Drought factors, prediction and impacts
Qiang Zhang, Rui Shi, Vijay P. Singh, et al.
The Science of The Total Environment (2021) Vol. 803, pp. 150018-150018
Open Access | Times Cited: 61
Comparative Study of Machine Learning Classifiers for Modelling Road Traffic Accidents
Tebogo Bokaba, Wesley Doorsamy, Babu Sena Paul
Applied Sciences (2022) Vol. 12, Iss. 2, pp. 828-828
Open Access | Times Cited: 58
Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest
Yangsong Gu, Diyi Liu, Ramin Arvin, et al.
Accident Analysis & Prevention (2022) Vol. 179, pp. 106880-106880
Closed Access | Times Cited: 48
On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development
Xiao Wen, Yuanchang Xie, Liming Jiang, et al.
Accident Analysis & Prevention (2022) Vol. 168, pp. 106617-106617
Closed Access | Times Cited: 45
Applying machine learning and google street view to explore effects of drivers’ visual environment on traffic safety
Qing Cai, Mohamed Abdel‐Aty, Ou Zheng, et al.
Transportation Research Part C Emerging Technologies (2021) Vol. 135, pp. 103541-103541
Closed Access | Times Cited: 52
A hybrid deep learning model for predictive flood warning and situation awareness using channel network sensors data
Shangjia Dong, Tianbo Yu, Hamed Farahmand, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 4, pp. 402-420
Open Access | Times Cited: 49
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
A Fertilization Decision Model for Maize, Rice, and Soybean Based on Machine Learning and Swarm Intelligent Search Algorithms
Jian Gao, Wenzhi Zeng, Zhipeng Ren, et al.
Agronomy (2023) Vol. 13, Iss. 5, pp. 1400-1400
Open Access | Times Cited: 12
A hybrid approach for modeling bicycle crash frequencies: Integrating random forest based SHAP model with random parameter negative binomial regression model
Hongliang Ding, Ruiqi Wang, Tiantian Chen, et al.
Accident Analysis & Prevention (2024) Vol. 208, pp. 107778-107778
Closed Access | Times Cited: 4
Identifying High-Risk Roadways Using Speed Variation Features Generated From Market-Available Connected Vehicle Data
Xiao Li
(2025)
Closed Access
Dynamic origin‐destination flow estimation using automatic vehicle identification data: A 3D convolutional neural network approach
Keshuang Tang, Yumin Cao, Can Chen, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 1, pp. 30-46
Closed Access | Times Cited: 35
Self-Adaptive Particle Swarm Optimization-Based Echo State Network for Time Series Prediction
Yu Xue, Qi Zhang, Ferrante Neri
International Journal of Neural Systems (2021) Vol. 31, Iss. 12
Open Access | Times Cited: 27
Using machine learning to analyze and predict construction task productivity
Laura Flórez, Zhiyuan Song, Jean C. Cortissoz
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 12, pp. 1602-1616
Open Access | Times Cited: 21
Dual-Layer Deep Ensemble Techniques for Classifying Heart Disease
V. Jothi Prakash, N. Karthikeyan
Information Technology And Control (2022) Vol. 51, Iss. 1, pp. 158-179
Open Access | Times Cited: 20
Integrating machine learning into path analysis for quantifying behavioral pathways in bicycle-motor vehicle crashes
Weike Lu, Jun Liu, Xing Fu, et al.
Accident Analysis & Prevention (2022) Vol. 168, pp. 106622-106622
Closed Access | Times Cited: 19
TS-STNN: Spatial-temporal neural network based on tree structure for traffic flow prediction
Yang Lv, Zhiqiang Lv, Zesheng Cheng, et al.
Transportation Research Part E Logistics and Transportation Review (2023) Vol. 177, pp. 103251-103251
Closed Access | Times Cited: 11
Evaluation of Tree-Based Machine Learning Algorithms for Accident Risk Mapping Caused by Driver Lack of Alertness at a National Scale
Farbod Farhangi, Abolghasem Sadeghi‐Niaraki, Seyed Vahid Razavi-Termeh, et al.
Sustainability (2021) Vol. 13, Iss. 18, pp. 10239-10239
Open Access | Times Cited: 26
An approach to multi-class imbalanced problem in ecology using machine learning
Bonelwa Sidumo, Energy Sonono, Isaac Takaidza
Ecological Informatics (2022) Vol. 71, pp. 101822-101822
Closed Access | Times Cited: 16
Remaining useful life estimation based on selective ensemble of deep neural networks with diversity
Tangbin Xia, Dongyang Han, Yimin Jiang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102608-102608
Closed Access | Times Cited: 3
Mid-term prediction of at-fault crash driver frequency using fusion deep learning with city-level traffic violation data
Yuan-Wei Wu, Tien‐Pen Hsu
Accident Analysis & Prevention (2020) Vol. 150, pp. 105910-105910
Closed Access | Times Cited: 25
Analyse vehicle–pedestrian crash severity at intersection with data mining techniques
Siying Zhu
International Journal of Crashworthiness (2021) Vol. 27, Iss. 5, pp. 1374-1382
Closed Access | Times Cited: 22
Application of Machine Learning Techniques to Predict the Occurrence of Distraction-affected Crashes with Phone-Use Data
Chaolun Ma, Peng Yong-xin, Lingtao Wu, et al.
Transportation Research Record Journal of the Transportation Research Board (2021) Vol. 2676, Iss. 2, pp. 692-705
Closed Access | Times Cited: 20
Toward Road Safety Recommender Systems: Formal Concepts and Technical Basics
Kaoutar Sefrioui Boujemaa, Ismaïl Berrada, Khalid Fardousse, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 6, pp. 5211-5230
Closed Access | Times Cited: 19
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