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:

Multi-scale driver behavior modeling based on deep spatial-temporal representation for intelligent vehicles
Yang Xing, Chen Lv, Dongpu Cao, et al.
Transportation Research Part C Emerging Technologies (2021) Vol. 130, pp. 103288-103288
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

CEAM-YOLOv7: Improved YOLOv7 Based on Channel Expansion and Attention Mechanism for Driver Distraction Behavior Detection
Shugang Liu, Yujie Wang, Qiangguo Yu, et al.
IEEE Access (2022) Vol. 10, pp. 129116-129124
Open Access | Times Cited: 63

Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systems
Jiqian Dong, Sikai Chen, Mohammad Miralinaghi, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 156, pp. 104358-104358
Closed Access | Times Cited: 40

Vehicle Trajectory Data Mining for Artificial Intelligence and Real-Time Traffic Information Extraction
Peng Zhang, Jun Zheng, Hailun Lin, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 11, pp. 13088-13098
Closed Access | Times Cited: 25

Automatic emergency obstacle avoidance for intelligent vehicles considering driver-environment risk evaluation
Xiaodong Wu, Chengrui Su, Zhaoxu Yu, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110187-110187
Closed Access | Times Cited: 1

Real-time detection of abnormal driving behavior based on long short-term memory network and regression residuals
Yongfeng Ma, Zhuopeng Xie, Shuyan Chen, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 146, pp. 103983-103983
Closed Access | Times Cited: 35

Coordination Control Strategy for Human-Machine Cooperative Steering of Intelligent Vehicles: A Reinforcement Learning Approach
Ju Xie, Xing Xu, Feng Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 11, pp. 21163-21177
Closed Access | Times Cited: 34

Development and testing of an image transformer for explainable autonomous driving systems
Jiqian Dong, Sikai Chen, Mohammad Miralinaghi, et al.
Journal of Intelligent and Connected Vehicles (2022) Vol. 5, Iss. 3, pp. 235-249
Open Access | Times Cited: 22

Involvement of Deep Learning for Vision Sensor-Based Autonomous Driving Control: A Review
Abida Khanum, Chao-Yang Lee, Chu‐Sing Yang
IEEE Sensors Journal (2023) Vol. 23, Iss. 14, pp. 15321-15341
Closed Access | Times Cited: 12

Heterogeneous graph social pooling for interaction-aware vehicle trajectory prediction
Xiaoyu Mo, Yang Xing, Chen Lv
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 191, pp. 103748-103748
Closed Access | Times Cited: 4

Predicting lane change maneuver and associated collision risks based on multi-task learning
Liu Yang, Jike Zhang, Nengchao Lyu, et al.
Accident Analysis & Prevention (2024) Vol. 209, pp. 107830-107830
Closed Access | Times Cited: 4

Towards a Data‐Driven Digital Twin AI‐Based Architecture for Self‐Driving Vehicles
Parinaz Babaei, Nosrat Riahinia, Omid Mahdi Ebadati E., et al.
IET Intelligent Transport Systems (2025) Vol. 19, Iss. 1
Open Access

Highway Lane-Changing Prediction Using a Hierarchical Software Architecture based on Support Vector Machine and Continuous Hidden Markov Model
Omveer Sharma, N. C. Sahoo, Niladri B. Puhan
International Journal of Intelligent Transportation Systems Research (2022) Vol. 20, Iss. 2, pp. 519-539
Closed Access | Times Cited: 16

A Novel Driver Distraction Behavior Detection Method Based on Self-Supervised Learning With Masked Image Modeling
Yingzhi Zhang, Taiguo Li, Chao Li, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 4, pp. 6056-6071
Open Access | Times Cited: 8

Personalized design strategy of vehicle steer-by-wire characteristics considering driving style
Songchun Zou, Zhongkai Luan, Wanzhong Zhao, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2022) Vol. 237, Iss. 2, pp. 253-266
Closed Access | Times Cited: 12

MIFI: MultI-Camera Feature Integration for Robust 3D Distracted Driver Activity Recognition
Jian Kuang, Wenjing Li, Fang Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 1, pp. 338-348
Closed Access | Times Cited: 7

Driver Steering Behaviour Modelling Based on Neuromuscular Dynamics and Multi-Task Time-Series Transformer
Yang Xing, Zhongxu Hu, Xiaoyu Mo, et al.
Automotive Innovation (2024) Vol. 7, Iss. 1, pp. 45-58
Open Access | Times Cited: 2

Region-Aware Hierarchical Graph Contrastive Learning for Ride-Hailing Driver Profiling
Kehua Chen, Jindong Han, Siyuan Feng, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 156, pp. 104325-104325
Closed Access | Times Cited: 4

An efficient driving behavior prediction approach using physiological auxiliary and adaptive LSTM
Gao Jun, Jiangang Yi, Yi Lu Murphey
Machine Vision and Applications (2024) Vol. 35, Iss. 5
Closed Access | Times Cited: 1

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

Attention Encoder-Decoder Network Based Autonomous Risk Driving Identification for Connected Heavy-Duty Vehicles
Tian Xu, Kun Tang, Tangyi Guo
Lecture notes in electrical engineering (2024), pp. 62-71
Closed Access

Eye State Classification Method for Detecting Physiological Deviations in Drivers Based on CNN Algorithm
Fayzullo Makhmadiyarovich Nazarov, Munis M. Xamidov
2022 International Russian Automation Conference (RusAutoCon) (2024), pp. 802-807
Closed Access

Real-Time Modeling of Traffic Flow and Emissions for Enhancing Urban Air Quality
Vladimir Shepelev, Султан Жанказиев, Larisa Fatikhova, et al.
Springer proceedings in earth and environmental sciences (2024), pp. 87-98
Closed Access

An Intelligent Transportation Network for the Brain based on Observed Driving Patterns
E. S. Phalguna Krishna, T. Saravanan, S Saravanakumar
(2024), pp. 1-5
Closed Access

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