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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 highway lane-changing maneuvers: A benchmark analysis of machine and ensemble learning algorithms
Basma Khelfa, Ibrahima Ba, Antoine Tordeux
Physica A Statistical Mechanics and its Applications (2023) Vol. 612, pp. 128471-128471
Open Access | Times Cited: 11

Showing 11 citing articles:

Cybersecurity of Autonomous Vehicles: A Systematic Literature Review of Adversarial Attacks and Defense Models
Mansi Girdhar, Junho Hong, John M. Moore
IEEE Open Journal of Vehicular Technology (2023) Vol. 4, pp. 417-437
Open Access | Times Cited: 44
Using Dual Attention BiLSTM to Predict Vehicle Lane Changing Maneuvers on Highway Dataset
Farzeen Ashfaq, Rania M. Ghoniem, N. Z. Jhanjhi, et al.
Systems (2023) Vol. 11, Iss. 4, pp. 196-196
Open Access | Times Cited: 17
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
Federated Learning for Lane-Change Prediction
Lilit Yenokyan, William Lindskog-Muenzing, Christian Prehofer, et al.
(2025), pp. 311-331
Closed Access
Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios
Julian F. Schumann, Jens Kober, Arkady Zgonnikov
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 3, pp. 2580-2591
Open Access | Times Cited: 10
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
Lane-change intention recognition considering oncoming traffic: Novel insights revealed by advances in deep learning
Hao Liu, Tao Wang, Wenyong Li, et al.
Accident Analysis & Prevention (2024) Vol. 198, pp. 107476-107476
Closed Access | Times Cited: 2
Digital Twin Edge Services With Proximity-Aware Longitudinal Lane Changing Model for Connected Vehicles
Zeyin Huang, Rong Yu, Mingxing Ye, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 11, pp. 17457-17471
Closed Access | Times Cited: 1
Improved Attention Mechanism for Human-like Intelligent Vehicle Trajectory Prediction
Chuanliang Shen, Xiao Xiao, Shengnan Li, et al.
Electronics (2023) Vol. 12, Iss. 19, pp. 3993-3993
Open Access | Times Cited: 4
Integrating Data and Rules: A Hybrid Approach for Robust Lane Change Intention Prediction Under Distribution Shift
Yao Long Teng, Htet Naing, Wentong Cai
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2024), pp. 699-706
Closed Access
Lane-Changing Decision-Making Model for Intelligent Vehicle Based on a Convolutional Neural Network-Gated Recurrent Unit Combination
Lixin Yan, Jinpei FENG, Wujie JIN, et al.
(2023)
Closed Access | Times Cited: 1
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