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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 deep learning approach for driver lane change intention inference
Yang Xing, Chen Lv, Huaji Wang, et al.
Transportation Research Part C Emerging Technologies (2020) Vol. 115, pp. 102615-102615
Open Access | Times Cited: 169

Showing 1-25 of 169 citing articles:

Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives
Haiyang Yu, Rui Jiang, Zhengbing He, et al.
Transportation Research Part C Emerging Technologies (2021) Vol. 127, pp. 103101-103101
Open Access | Times Cited: 155
Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving
Yang Xing, Chen Lv, Dongpu Cao, et al.
Transportation Research Part C Emerging Technologies (2021) Vol. 128, pp. 103199-103199
Closed Access | Times Cited: 125
Survey on Artificial Intelligence (AI) techniques for Vehicular Ad-hoc Networks (VANETs)
Abir Mchergui, Tarek Moulahi, Sherali Zeadally
Vehicular Communications (2021) Vol. 34, pp. 100403-100403
Closed Access | Times Cited: 121
Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles
Zhongxu Hu, Shanhe Lou, Yang Xing, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 7, Iss. 3, pp. 417-440
Open Access | Times Cited: 106
A Comprehensive Survey on the Application of Deep and Reinforcement Learning Approaches in Autonomous Driving
Badr Ben Elallid, Nabil Benamar, Abdelhakim Hafid, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 9, pp. 7366-7390
Open Access | Times Cited: 100
Comprehensive Survey of Artificial Intelligence Techniques and Strategies for Climate Change Mitigation
Zahra Mohtasham‐Amiri, Arash Heidari, Nima Jafari Navimipour
Energy (2024) Vol. 308, pp. 132827-132827
Closed Access | Times Cited: 26
HCF: A Hybrid CNN Framework for Behavior Detection of Distracted Drivers
Chen Huang, Xiaochen Wang, Jiannong Cao, et al.
IEEE Access (2020) Vol. 8, pp. 109335-109349
Open Access | Times Cited: 89
The ensemble approach to forecasting: A review and synthesis
Hao Wu, David Levinson
Transportation Research Part C Emerging Technologies (2021) Vol. 132, pp. 103357-103357
Closed Access | Times Cited: 80
An integrated lane change prediction model incorporating traffic context based on trajectory data
Qingwen Xue, Yingying Xing, Jian Lu
Transportation Research Part C Emerging Technologies (2022) Vol. 141, pp. 103738-103738
Closed Access | Times Cited: 47
Modeling driver’s evasive behavior during safety–critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning
Hongyu Guo, Kun Xie, Mehdi Keyvan‐Ekbatani
Accident Analysis & Prevention (2023) Vol. 186, pp. 107063-107063
Open Access | Times Cited: 33
A Tutorial on Internet of Behaviors: Concept, Architecture, Technology, Applications, and Challenges
Qinglin Zhao, Guangcheng Li, Jincheng Cai, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 2, pp. 1227-1260
Closed Access | Times Cited: 27
Robust optimal lane-changing control for Connected Autonomous Vehicles in mixed traffic
Anni Li, Andres S. Chavez Armijos, Christos G. Cassandras
Automatica (2025) Vol. 174, pp. 112169-112169
Closed Access | Times Cited: 1
Artificial intelligence guided Raman spectroscopy in biomedicine: Applications and prospects
Yuan Liu, Sitong Chen, Xiaomin Xiong, et al.
Journal of Pharmaceutical Analysis (2025), pp. 101271-101271
Open Access | Times Cited: 1
Lane departure warning systems and lane line detection methods based on image processing and semantic segmentation: A review
Weiwei Chen, Weixing Wang, Kevin Wang, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2020) Vol. 7, Iss. 6, pp. 748-774
Open Access | Times Cited: 68
A Survey on Driver Behavior Analysis From In-Vehicle Cameras
Jiyang Wang, Weiheng Chai, Archana Venkatachalapathy, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 8, pp. 10186-10209
Closed Access | Times Cited: 56
Passenger overall comfort in high-speed railway environments based on EEG: Assessment and degradation mechanism
Yong Peng, Yating Lin, Chaojie Fan, et al.
Building and Environment (2021) Vol. 210, pp. 108711-108711
Closed Access | Times Cited: 52
Driver lane change intention recognition in the connected environment
Yingshi Guo, Hongjia Zhang, Chang Wang, et al.
Physica A Statistical Mechanics and its Applications (2021) Vol. 575, pp. 126057-126057
Closed Access | Times Cited: 51
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships
Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, et al.
(2021), pp. 6064-6071
Open Access | Times Cited: 50
An improved learning-based LSTM approach for lane change intention prediction subject to imbalanced data
Qian Shi, Hui Zhang
Transportation Research Part C Emerging Technologies (2021) Vol. 133, pp. 103414-103414
Closed Access | Times Cited: 44
Probabilistic Risk Metric for Highway Driving Leveraging Multi-Modal Trajectory Predictions
Xinwei Wang, Javier Alonso–Mora, Meng Wang
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 10, pp. 19399-19412
Open Access | Times Cited: 37
Lane change detection and prediction using real-world connected vehicle data
Hongyu Guo, Mehdi Keyvan‐Ekbatani, Kun Xie
Transportation Research Part C Emerging Technologies (2022) Vol. 142, pp. 103785-103785
Closed Access | Times Cited: 33
A Novel Multimodal Vehicle Path Prediction Method Based on Temporal Convolutional Networks
Mozhgan Nasr Azadani, Azzedine Boukerche
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 12, pp. 25384-25395
Closed Access | Times Cited: 32
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
Fine-grained highway autonomous vehicle lane-changing trajectory prediction based on a heuristic attention-aided encoder-decoder model
Cheng Wei, Fei Hui, Zijiang Yang, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 140, pp. 103706-103706
Closed Access | Times Cited: 31
Human‐Like Interactive Behavior Generation for Autonomous Vehicles: A Bayesian Game‐Theoretic Approach with Turing Test
Yiran Zhang, Peng Hang, Chao Huang, et al.
Advanced Intelligent Systems (2022) Vol. 4, Iss. 5
Open Access | Times Cited: 29
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