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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:

A Novel Heterogeneous Network for Modeling Driver Attention With Multi-Level Visual Content
Zhongxu Hu, Yiran Zhang, Qinghua Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 12, pp. 24343-24354
Closed Access | Times Cited: 16

Showing 16 citing articles:

Applications, Challenges, and Future Directions of Human-in-the-Loop Learning
Sushant Kumar, Sumit Datta, Vishakha Singh, et al.
IEEE Access (2024) Vol. 12, pp. 75735-75760
Open Access | Times Cited: 8
A Robust Driver Emotion Recognition Method Based on High-Purity Feature Separation
Lie Yang, Haohan Yang, Bin-Bin Hu, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 12, pp. 15092-15104
Closed Access | Times Cited: 18
Video-Based Driver Drowsiness Detection With Optimised Utilization of Key Facial Features
Lie Yang, Haohan Yang, Henglai Wei, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 6938-6950
Closed Access | Times Cited: 7
Decision-Making Driven by Driver Intelligence and Environment Reasoning for High-Level Autonomous Vehicles: A Survey
Yuning Wang, Junkai Jiang, Shangyi Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 10, pp. 10362-10381
Closed Access | Times Cited: 14
A multi-level digital twin construction method of assembly line based on hybrid worker digital twin models
Xi Zhang, Ye Yang, Xin Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102597-102597
Closed Access | Times Cited: 5
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: 7
High-Performance Lightweight Fall Detection with an Improved YOLOv5s Algorithm
Yuanpeng Wang, Zhaozhan Chi, Meng Liu, et al.
Machines (2023) Vol. 11, Iss. 8, pp. 818-818
Open Access | Times Cited: 6
Driving Visual Saliency Prediction of Dynamic Night Scenes via a Spatio-Temporal Dual-Encoder Network
Tao Deng, Lianfang Jiang, Yi Shi, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 3, pp. 2413-2423
Closed Access | Times Cited: 5
TransConvNet: Perform perceptually relevant driver’s visual attention predictions
Chuan Xu, Bo Jiang, Yan Su
Computers & Electrical Engineering (2024) Vol. 115, pp. 109104-109104
Closed Access | Times Cited: 1
MMH-STA: A Macro-Micro-Hierarchical Spatio-Temporal Attention Method for Multi-Agent Trajectory Prediction in Unsignalized Roundabouts
Yingbo Sun, Tao Xu, Jingyuan Li, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 72, Iss. 9, pp. 11237-11250
Closed Access | Times Cited: 3
Context-Aware Driver Attention Estimation Using Multi-Hierarchy Saliency Fusion With Gaze Tracking
Zhongxu Hu, Yuxin Cai, Qinghua Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 8, pp. 8602-8614
Closed Access
Visual Attention Estimation Algorithm and Dynamic Neural Network Based Object Detection for Intelligent Vehicles
Baixuan Zhao, Chuan Hu, Wangwang Zhu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 11, pp. 18535-18545
Closed Access
Recent advancements in driver’s attention prediction
Morteza Moradi, Simone Palazzo, Francesco Rundo, et al.
Multimedia Tools and Applications (2024)
Closed Access
SCOUT+: Towards Practical Task-Driven Drivers’ Gaze Prediction
Iuliia Kotseruba, John K. Tsotsos
2022 IEEE Intelligent Vehicles Symposium (IV) (2024), pp. 1927-1932
Open Access
Multi-Task Deep Learning Methods for Determining Railway Major Technical Standards
Hao Pu, Guanghui Wang, Taoran Song, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 6, pp. 5904-5918
Closed Access
Validating Quantification Method for Object Visual Appeal to Motorists in Simulated Hazardous Driving Scene
Takumi Inagawa, Tomoya Hayashi, Yohei Nakada
(2023), pp. 108-112
Closed Access
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