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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:

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

Showing 1-25 of 89 citing articles:

Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Yassine Himeur, Somaya Al‐Maadeed, Hamza Kheddar, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105698-105698
Open Access | Times Cited: 78
Distracted Driver Detection Based on a CNN With Decreasing Filter Size
Binbin Qin, Jiangbo Qian, Xin Yu, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 7, pp. 6922-6933
Closed Access | Times Cited: 58
Driver Anomaly Quantification for Intelligent Vehicles: A Contrastive Learning Approach With Representation Clustering
Zhongxu Hu, Yang Xing, Weihao Gu, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 8, Iss. 1, pp. 37-47
Open Access | Times Cited: 54
Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection
Sabah Abdulazeez Jebur, Khalid Ali Hussein, Haider K. Hoomod, et al.
Computers (2023) Vol. 12, Iss. 9, pp. 175-175
Open Access | Times Cited: 28
Integrating visual large language model and reasoning chain for driver behavior analysis and risk assessment
Kunpeng Zhang, Shipu Wang, Ning Jia, et al.
Accident Analysis & Prevention (2024) Vol. 198, pp. 107497-107497
Closed Access | Times Cited: 10
Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos
Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 11602-11616
Open Access | Times Cited: 8
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: 55
A survey on vision-based driver distraction analysis
Wanli Li, Lin Hu, Guoqi Xie, et al.
Journal of Systems Architecture (2021) Vol. 121, pp. 102319-102319
Closed Access | Times Cited: 47
A Review of Deep Learning-Based Anomaly Detection Strategies in Industry 4.0 Focused on Application Fields, Sensing Equipment, and Algorithms
Adriano Liso, Angelo Cardellicchio, Cosimo Patruno, et al.
IEEE Access (2024) Vol. 12, pp. 93911-93923
Open Access | Times Cited: 6
Real-time driver distraction recognition: A hybrid genetic deep network based approach
Abeer. A. Aljohani
Alexandria Engineering Journal (2022) Vol. 66, pp. 377-389
Open Access | Times Cited: 26
Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer
Dichao Liu, Toshihiko Yamasaki, Yu Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 1, pp. 764-777
Open Access | Times Cited: 24
Design of an Efficient Distracted Driver Detection System: Deep Learning Approaches
Vaegae Naveen Kumar, Kranthi Kumar Pulluri, Kalapraveen Bagadi, et al.
IEEE Access (2022) Vol. 10, pp. 116087-116097
Open Access | Times Cited: 23
FedBiKD: Federated Bidirectional Knowledge Distillation for Distracted Driving Detection
Ertong Shang, Hui Liu, Zhuo Yang, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 13, pp. 11643-11654
Closed Access | Times Cited: 15
Driver distraction detection based on lightweight networks and tiny object detection
Zhiqin Zhu, Shaowen Wang, Shuangshuang Gu, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 10, pp. 18248-18266
Open Access | Times Cited: 13
Modeling vehicle U-turning behavior near intersections: A deep learning approach based on TCN and multi-head attention
Weiliang Zeng, Qinyong Lin, Boyang Zhu, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123674-123674
Closed Access | Times Cited: 5
HCNNet: a hybrid convolutional neural network for abnormal human driver behaviour detection
Tina Debbarma, Tannistha Pal, Ashim Saha, et al.
Sadhana (2025) Vol. 50, Iss. 1
Closed Access
Optimal feature tuning model by variants of convolutional neural network with LSTM for driver distract detection in IoT platform
Hameed Mutlag Farhan, Ayça Kurnaz Türkben, Raghda Awad Shaban Naseri
Knowledge and Information Systems (2025)
Open Access
A lightweight model for distracted driver detection based on neural architecture search and coordinate attention
Haibin Sun, Mengting Zhang
Computers & Electrical Engineering (2025) Vol. 123, pp. 110235-110235
Closed Access
Deep CNN, Body Pose, and Body-Object Interaction Features for Drivers’ Activity Monitoring
Ardhendu Behera, Zachary Wharton, Alexander Keidel, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 23, Iss. 3, pp. 2874-2881
Open Access | Times Cited: 38
CNN-based driving maneuver classification using multi-sliding window fusion
Jie Xie, Kai Hu, Guofa Li, et al.
Expert Systems with Applications (2020) Vol. 169, pp. 114442-114442
Closed Access | Times Cited: 38
Distracted Driving Crashes: A Review on Data Collection, Analysis, and Crash Prevention Methods
Ahmed Sajid Hasan, Mohammad Jalayer, Eric Heitmann, et al.
Transportation Research Record Journal of the Transportation Research Board (2022) Vol. 2676, Iss. 8, pp. 423-434
Closed Access | Times Cited: 21
Macroscopic Big Data Analysis and Prediction of Driving Behavior With an Adaptive Fuzzy Recurrent Neural Network on the Internet of Vehicles
David Chunhu Li, Michael Yu-Ching Lin, Li‐Der Chou
IEEE Access (2022) Vol. 10, pp. 47881-47895
Open Access | Times Cited: 20
HSDDD: A Hybrid Scheme for the Detection of Distracted Driving through Fusion of Deep Learning and Handcrafted Features
Monagi H. Alkinani, Wazir Zada Khan, Quratulain Arshad, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 1864-1864
Open Access | Times Cited: 19
FRNet: DCNN for Real-Time Distracted Driving Detection Toward Embedded Deployment
Cong Duan, Yipeng Gong, Jiacai Liao, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 9, pp. 9835-9848
Closed Access | Times Cited: 11
Three stage classification framework with ranking scheme for distracted driver detection using heuristic-assisted strategy
Prameeladevi Chillakuru, K Ananthajothi, D. Divya
Knowledge-Based Systems (2024) Vol. 293, pp. 111589-111589
Closed Access | Times Cited: 4
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