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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:

Driver Lane Change Intention Recognition Based on Attention Enhanced Residual-MBi-LSTM Network
Zhanqian Wu, Kaichong Liang, Dengcheng Liu, et al.
IEEE Access (2022) Vol. 10, pp. 58050-58061
Open Access | Times Cited: 19

Showing 19 citing articles:

A review of road safety evaluation methods based on driving behavior
Zijun Du, Min Deng, Nengchao Lyu, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2023) Vol. 10, Iss. 5, pp. 743-761
Open Access | Times Cited: 19
Driver lane change intention prediction based on topological graph constructed by driver behaviors and traffic context for human-machine co-driving system
Tao Huang, Rui Fu, Qinyu Sun, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 160, pp. 104497-104497
Closed Access | Times Cited: 7
Human-like mechanism deep learning model for longitudinal motion control of autonomous vehicles
Zhenhai Gao, Tong Yu, Fei Gao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108060-108060
Closed Access | Times Cited: 7
A Comprehensive Review on Deep Learning-Based Motion Planning and End-to-End Learning for Self-Driving Vehicle
Manikandan Ganesan, Sivanathan Kandhasamy, C. Bharatiraja, et al.
IEEE Access (2024) Vol. 12, pp. 66031-66067
Open Access | Times Cited: 4
Vehicle lane change behavior recognition based on multi-scale three-stream 3D ResNets
Xin Chao, X. Qi, Ruiqi Ding, et al.
Multimedia Systems (2025) Vol. 31, Iss. 2
Closed Access
A vehicle driving intention prediction method based on gated dual tower transformer model for autonomous driving
Xuliang Guo, Hongfei Jia, Qiuyang Huang, et al.
Expert Systems with Applications (2025), pp. 128000-128000
Closed Access
Research on Recognition of Road Hypnosis in the Typical Monotonous Scene
Huili Shi, Longfei Chen, Xiaoyuan Wang, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1701-1701
Open Access | Times Cited: 7
Deep Q‐network based multi‐layer safety lane changing strategy for vehicle platoon
Jinqi Zhang, Maode Yan, Lei Zuo
IET Intelligent Transport Systems (2023) Vol. 18, Iss. 4, pp. 645-656
Open Access | Times Cited: 6
A Comprehensive Investigation of Lane-Changing Risk Recognition Framework of Multi-Vehicle Type Considering Key Features Based on Vehicles’ Trajectory Data
Liyuan Zheng, Weiming Liu
Electronics (2024) Vol. 13, Iss. 6, pp. 1097-1097
Open Access | Times Cited: 1
Deep learning approach for accurate and stable recognition of driver's lateral intentions using naturalistic driving data
Kun Cheng, Dongye Sun, Datong Qin, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108324-108324
Closed Access | Times Cited: 1
Improved time series models for the prediction of lane-change intention
Hongrui Zhang, Yonggang Wang, Shengrui Zhang, et al.
Transportation Letters (2024), pp. 1-15
Closed Access | Times Cited: 1
Ensemble deep learning-based lane-changing behavior prediction of manually driven vehicles in mixed traffic environments
Boshuo Geng, Jianxiao Ma, Shaohu Zhang
Electronic Research Archive (2023) Vol. 31, Iss. 10, pp. 6216-6235
Open Access | Times Cited: 3
Spatiotemporal Feature Enhancement Aids the Driving Intention Inference of Intelligent Vehicles
Huiqin Chen, Hailong Chen, Hao Liu, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 18, pp. 11819-11819
Open Access | Times Cited: 4
Robust Air Target Intention Recognition Based on Weight Self-Learning Parallel Time-Channel Transformer Encoder
Zihao Song, Yan Zhou, Wei Cheng, et al.
IEEE Access (2023) Vol. 11, pp. 144760-144777
Open Access | Times Cited: 2
Lane Change Intention Recognition and Trajectory Prediction Based on Natural Driving
Yanjun Hao, Hongxia Dong, Xiaojin Zhao, et al.
(2023)
Closed Access | Times Cited: 1
End-to-End Spatio-Temporal Attention-Based Lane-Change Intention Prediction from Multi-Perspective Cameras
Zhouqiao Zhao, Zhensong Wei, Danyang Tian, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2023), pp. 1-8
Closed Access | Times Cited: 1
Peril Set-Aided Lane-Change Intention Inference on Highway
Min Liu, Yang Li, Qinghai Yang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 9, pp. 16647-16659
Closed Access
STA-Net: A Spatial–Temporal Joint Attention Network for Driver Maneuver Recognition, Based on In-Cabin and Driving Scene Monitoring
Bin He, Ningmei Yu, Zhiyong Wang, et al.
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2460-2460
Open Access
Study and Analysis of Road Hypnosis on Samruddhi Mahamarg
Prof. A. I. Deshmukh, Gayatri Sanjay Andure, Dakshata Niranjan Ingole, et al.
International Journal of Advanced Research in Science Communication and Technology (2023), pp. 224-226
Open Access
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