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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:

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: 32

Showing 1-25 of 32 citing articles:

Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data
Maohan Liang, Lingxuan Weng, Ruobin Gao, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111313-111313
Closed Access | Times Cited: 28
Unveiling the driving patterns of carbon prices through an explainable machine learning framework: Evidence from Chinese emission trading schemes
Heng Lei, Minggao Xue, Huiling Liu, et al.
Journal of Cleaner Production (2024) Vol. 438, pp. 140697-140697
Closed Access | Times Cited: 9
Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics
Fizza Hussain, Yasir Ali, Yuefeng Li, et al.
Accident Analysis & Prevention (2024) Vol. 199, pp. 107517-107517
Open Access | Times Cited: 9
Exploring the Efficacy of Artificial Intelligence in Speed Prediction: Explainable Machine-Learning Approach
Vineet Jain, Rajesh Chouhan, Ashish Dhamaniya
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 2
Closed Access | Times Cited: 1
A systematic review of machine learning-based microscopic traffic flow models and simulations
R. Davies, Haitao He, Hui Fang, et al.
Communications in Transportation Research (2025) Vol. 5, pp. 100164-100164
Closed Access | Times Cited: 1
A comprehensive review on data-driven driver behaviour scoring in vehicles: technologies, challenges and future directions
Vaibhav Shirole, Aniket K. Shahade, Priyanka V. Deshmukh
Discover Artificial Intelligence (2025) Vol. 5, Iss. 1
Open Access | Times Cited: 1
A unified modeling framework for lane change intention recognition and vehicle status prediction
Renteng Yuan, Mohamed Abdel‐Aty, Xin Gu, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 632, pp. 129332-129332
Closed Access | Times Cited: 16
Car-following crash risk analysis in a connected environment: A Bayesian non-stationary generalised extreme value model
Faizan Nazir, Yasir Ali, Anshuman Sharma, et al.
Analytic Methods in Accident Research (2023) Vol. 39, pp. 100278-100278
Open Access | Times Cited: 15
The determining mechanism of technology catch-up in China's photovoltaic (PV) industry: Machine learning approaches
Xiaohui Zhao, Xiang Cai, Cuiting Jiang, et al.
Journal of Cleaner Production (2024) Vol. 450, pp. 142028-142028
Closed Access | Times Cited: 5
Learning two-dimensional merging behaviour from vehicle trajectories with imitation learning
Jie Sun, Hai Yang
Transportation Research Part C Emerging Technologies (2024) Vol. 160, pp. 104530-104530
Closed Access | Times Cited: 4
Lane change decision prediction: an efficient BO-XGB modelling approach with SHAP analysis
Haobo Sun, Qixiu Cheng, Pu Wang, et al.
Transportmetrica A Transport Science (2024), pp. 1-38
Closed Access | Times Cited: 4
Analysis of attribute importance in multinomial logit models using Shapley values-based methods
Patricio Salas, Rodrigo De la Fuente, Sebastián Astroza, et al.
Journal of Choice Modelling (2025) Vol. 54, pp. 100538-100538
Closed Access
Modeling bounded rationality in discretionary lane-changing with the cumulative prospect theory
Dewen Kong, Xi Zhang, Miao Wang, et al.
Transportation Letters (2025), pp. 1-16
Closed Access
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles
Renteng Yuan, Mohamed Abdel‐Aty, Xin Gu, et al.
(2023)
Open Access | Times Cited: 7
Analyzing the heterogenous effects of factors on high-range speeding likelihood of taxi speeders: Does explainable deep learning provides more insights than random parameter approach?
Yue Zhou, Chuanyun Fu, Xinguo Jiang, et al.
Accident Analysis & Prevention (2024) Vol. 207, pp. 107752-107752
Closed Access | Times Cited: 2
Failed lane-changing detection and prediction using naturalistic vehicle trajectories
Yingying Xing, Yutong Wu, Hongwei Wang, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 170, pp. 104939-104939
Closed Access | Times Cited: 2
Estimating emissions reductions with carpooling and vehicle dispatching in ridesourcing mobility
Ximing Chang, Jianjun Wu, Zifan Kang, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 2
Developing and microsimulating demographic dynamics for an integrated urban model: a comparison between logistic regression and machine learning techniques
Mohamad Ali Khalil, Mahmudur Rahman Fatmi, Muntahith Mehadil Orvin
Transportation (2024)
Closed Access | Times Cited: 1
A decision model based on gene expression programming for discretionary lane-changing move
Muhammed Emin Cihangir Bağdatlı, Raz Mohammad Choghtay
Transportation Planning and Technology (2024) Vol. 47, Iss. 7, pp. 1133-1155
Closed Access | Times Cited: 1
Combining time dependency and behavioral game: A Deep Markov Cognitive Hierarchy Model for human-like discretionary lane changing modeling
Kehua Chen, Meixin Zhu, Lijun Sun, et al.
Transportation Research Part B Methodological (2024) Vol. 189, pp. 102980-102980
Closed Access | Times Cited: 1
Unveiling gap acceptance behaviour during lane change with EDIV data: A deep dive into driving behaviour on expressway using a three level mixed effect linear regression approach
Akshay Gupta, Pushpa Choudhary, Manoranjan Parida
IATSS Research (2024) Vol. 48, Iss. 3, pp. 395-416
Open Access | Times Cited: 1
Multi-Level Feature Extraction and Classification for Lane Changing Behavior Prediction and POD-Based Evaluation
Zahra Rastin, Dirk Söffker
Automation (2024) Vol. 5, Iss. 3, pp. 310-323
Open Access | Times Cited: 1
Comparative Analysis of Machine-Learning Models for Recognizing Lane-Change Intention Using Vehicle Trajectory Data
Renteng Yuan, Shengxuan Ding, Chenzhu Wang
Infrastructures (2023) Vol. 8, Iss. 11, pp. 156-156
Open Access | Times Cited: 3
Modeling Lane Changes Using Parallel Learning
Yu Han, Shixuan Yu, Yan Li, et al.
(2024)
Closed Access
Trajectory Planning for Automated Merging Vehicles on Freeway Acceleration Lane
Menglu Gu, Yanqi Su, Chang Wang, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 11, pp. 16108-16124
Closed Access
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