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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 feature learning approach based on XGBoost for driving assessment and risk prediction
Xiupeng Shi, Yiik Diew Wong, Michael Z.F. Li, et al.
Accident Analysis & Prevention (2019) Vol. 129, pp. 170-179
Closed Access | Times Cited: 254

Showing 1-25 of 254 citing articles:

Real-time crash risk prediction on arterials based on LSTM-CNN
Pei Li, Mohamed Abdel‐Aty, Jinghui Yuan
Accident Analysis & Prevention (2019) Vol. 135, pp. 105371-105371
Closed Access | Times Cited: 284
Detection of illicit accounts over the Ethereum blockchain
Steven Farrugia, Joshua Ellul, George Azzopardi
Expert Systems with Applications (2020) Vol. 150, pp. 113318-113318
Open Access | Times Cited: 188
An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors
Zhengjing Ma, Gang Mei, Salvatore Cuomo
Accident Analysis & Prevention (2021) Vol. 160, pp. 106322-106322
Closed Access | Times Cited: 104
Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering
Sami Ben Jabeur, Nicolae Stef, Pedro Carmona
Computational Economics (2022) Vol. 61, Iss. 2, pp. 715-741
Closed Access | Times Cited: 101
Risk assessment of coronary heart disease based on cloud-random forest
Jing Wang, Congjun Rao, Mark Goh, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 1, pp. 203-232
Closed Access | Times Cited: 78
The effect of feature extraction and data sampling on credit card fraud detection
Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 50
Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan
X. Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 9, pp. 330-330
Open Access | Times Cited: 35
Seeking in Ride-on-Demand Service: A Reinforcement Learning Model With Dynamic Price Prediction
Suiming Guo, Baoying Deng, Chao Chen, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 18, pp. 29890-29910
Closed Access | Times Cited: 20
Key feature selection and risk prediction for lane-changing behaviors based on vehicles’ trajectory data
Tianyi Chen, Xiupeng Shi, Yiik Diew Wong
Accident Analysis & Prevention (2019) Vol. 129, pp. 156-169
Closed Access | Times Cited: 116
Application of the Machine Learning LightGBM Model to the Prediction of the Water Levels of the Lower Columbia River
Min Gan, Shunqi Pan, Yongping Chen, et al.
Journal of Marine Science and Engineering (2021) Vol. 9, Iss. 5, pp. 496-496
Open Access | Times Cited: 72
Older Pedestrian Traffic Crashes Severity Analysis Based on an Emerging Machine Learning XGBoost
Manze Guo, Zhenzhou Yuan, Bruce N. Janson, et al.
Sustainability (2021) Vol. 13, Iss. 2, pp. 926-926
Open Access | Times Cited: 70
An integrated methodology for real-time driving risk status prediction using naturalistic driving data
Qiangqiang Shangguan, Ting Fu, Junhua Wang, et al.
Accident Analysis & Prevention (2021) Vol. 156, pp. 106122-106122
Closed Access | Times Cited: 64
Integration of extreme gradient boosting feature selection approach with machine learning models: application of weather relative humidity prediction
Tao Hai, Salih Muhammad Awadh, Sinan Q. Salih, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 1, pp. 515-533
Closed Access | Times Cited: 63
A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns
Qiangqiang Shangguan, Ting Fu, Junhua Wang, et al.
Accident Analysis & Prevention (2021) Vol. 164, pp. 106500-106500
Closed Access | Times Cited: 59
Forest tree species distribution for Europe 2000–2020: mapping potential and realized distributions using spatiotemporal machine learning
Carmelo Bonannella, Tomislav Hengl, Johannes Heisig, et al.
PeerJ (2022) Vol. 10, pp. e13728-e13728
Open Access | Times Cited: 59
Application of explainable machine learning for real-time safety analysis toward a connected vehicle environment
Yuan Chen, Ye Li, Helai Huang, et al.
Accident Analysis & Prevention (2022) Vol. 171, pp. 106681-106681
Closed Access | Times Cited: 43
Using machine learning algorithms to predict groundwater levels in Indonesian tropical peatlands
Iman Salehi Hikouei, Keith N. Eshleman, Bambang Hero Saharjo, et al.
The Science of The Total Environment (2022) Vol. 857, pp. 159701-159701
Open Access | Times Cited: 41
Predictive trajectory planning for autonomous vehicles at intersections using reinforcement learning
Ethan Zhang, Ruixuan Zhang, Neda Masoud
Transportation Research Part C Emerging Technologies (2023) Vol. 149, pp. 104063-104063
Closed Access | Times Cited: 28
Soft computing for determining base resistance of super-long piles in soft soil: A coupled SPBO-XGBoost approach
Tan Nguyen, Duy-Khuong Ly, Quoc Thien Huynh, et al.
Computers and Geotechnics (2023) Vol. 162, pp. 105707-105707
Closed Access | Times Cited: 26
Tourism forecasting with granular sentiment analysis
Hengyun Li, Huicai Gao, Haiyan Song
Annals of Tourism Research (2023) Vol. 103, pp. 103667-103667
Closed Access | Times Cited: 24
Evaluation and prediction of compound geohazards in highly urbanized regions across China's Greater Bay Area
Kunlong He, Xiaohong Chen, Xuan Yu, et al.
Journal of Cleaner Production (2024) Vol. 449, pp. 141641-141641
Closed Access | Times Cited: 9
Enhancing irrigation water management based on ETo prediction using machine learning to mitigate climate change
Ismail Mohamed, R. Troy Peters, Mohammed A. El-Shirbeny, et al.
Cogent Food & Agriculture (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 8
Identifying Human Factors in Aviation Accidents with Natural Language Processing and Machine Learning Models
Flávio L. Lázaro, Tomás Madeira, Rui Melício, et al.
Aerospace (2025) Vol. 12, Iss. 2, pp. 106-106
Open Access | Times Cited: 1
An Automated Machine Learning (AutoML) Method of Risk Prediction for Decision-Making of Autonomous Vehicles
Xiupeng Shi, Yiik Diew Wong, Chen Chai, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 11, pp. 7145-7154
Closed Access | Times Cited: 67
Predicting lane-changing risk level based on vehicles’ space-series features: A pre-emptive learning approach
Tianyi Chen, Xiupeng Shi, Yiik Diew Wong, et al.
Transportation Research Part C Emerging Technologies (2020) Vol. 116, pp. 102646-102646
Closed Access | Times Cited: 61
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