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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:

Driving behaviour recognition from still images by using multi-stream fusion CNN
Yaocong Hu, Mingqi Lu, Xiaobo Lu
Machine Vision and Applications (2018) Vol. 30, Iss. 5, pp. 851-865
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Abnormal Driving Detection With Normalized Driving Behavior Data: A Deep Learning Approach
Jie Hu, Xiaoqin Zhang, Stephen J. Maybank
IEEE Transactions on Vehicular Technology (2020) Vol. 69, Iss. 7, pp. 6943-6951
Open Access | Times Cited: 77
Data fusion for ITS: A systematic literature review
Chahinez Ounoughi, Sadok Ben Yahia
Information Fusion (2022) Vol. 89, pp. 267-291
Closed Access | Times Cited: 66
Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021)
Hong Vin Koay, Joon Huang Chuah, Chee‐Onn Chow, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105309-105309
Closed Access | Times Cited: 38
Driver action recognition using deformable and dilated faster R-CNN with optimized region proposals
Mingqi Lu, Yaocong Hu, Xiaobo Lu
Applied Intelligence (2019) Vol. 50, Iss. 4, pp. 1100-1111
Closed Access | Times Cited: 74
A cognitive vision method for the detection of plant disease images
Junde Chen, Jinxiu Chen, Defu Zhang, et al.
Machine Vision and Applications (2021) Vol. 32, Iss. 1
Closed Access | Times Cited: 49
Adaptive Driver Face Feature Fatigue Detection Algorithm Research
Han Zheng, Yiding Wang, Xiaoming Liu
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5074-5074
Open Access | Times Cited: 16
Soft Spatial Attention-Based Multimodal Driver Action Recognition Using Deep Learning
Imen Jegham, Anouar Ben Khalifa, Ihsen Alouani, et al.
IEEE Sensors Journal (2020) Vol. 21, Iss. 2, pp. 1918-1925
Closed Access | Times Cited: 44
A Survey of Methods and Technologies for Congestion Estimation Based on Multisource Data Fusion
Dominik Cvetek, Mario Muštra, Niko Jelušić, et al.
Applied Sciences (2021) Vol. 11, Iss. 5, pp. 2306-2306
Open Access | Times Cited: 34
Deep learning-based hard spatial attention for driver in-vehicle action monitoring
Imen Jegham, Ihsen Alouani, Anouar Ben Khalifa, et al.
Expert Systems with Applications (2023) Vol. 219, pp. 119629-119629
Open Access | Times Cited: 14
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
Feature refinement for image-based driver action recognition via multi-scale attention convolutional neural network
Yaocong Hu, Mingqi Lu, Xiaobo Lu
Signal Processing Image Communication (2019) Vol. 81, pp. 115697-115697
Closed Access | Times Cited: 35
Detection of tomato organs based on convolutional neural network under the overlap and occlusion backgrounds
Jun Sun, Xiaofei He, Minmin Wu, et al.
Machine Vision and Applications (2020) Vol. 31, Iss. 5
Closed Access | Times Cited: 32
Computer vision‐based recognition of driver distraction: A review
Negar Moslemi, Mohsen Soryani, Reza Azmi
Concurrency and Computation Practice and Experience (2021) Vol. 33, Iss. 24
Closed Access | Times Cited: 29
Driver Distraction Detection Using Octave-Like Convolutional Neural Network
Penghua Li, Yifeng Yang, Radu Grosu, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 7, pp. 8823-8833
Closed Access | Times Cited: 28
Quantitative aflatoxin B1 detection and mining key wavelengths based on deep learning and hyperspectral imaging in subpixel level
Hongfei Zhu, Lianhe Yang, Zhongzhi Han
Computers and Electronics in Agriculture (2023) Vol. 206, pp. 107561-107561
Closed Access | Times Cited: 11
Deep Learning Algorithm based Wearable Device for Basketball Stance Recognition in Basketball
Lan Jiang, Dongxu Zhang
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 3
Open Access | Times Cited: 10
Deep Learning in Transport Studies: A Meta-analysis on the Prediction Accuracy
Varun Varghese, Makoto Chikaraishi, Junji Urata
Journal of Big Data Analytics in Transportation (2020) Vol. 2, Iss. 3, pp. 199-220
Open Access | Times Cited: 24
Revised road traffic safety law and years of life lost due to traffic deaths in China, 2002–2019
Jiachang Gu, Gaoqiang Fei, Yanyuan Meng, et al.
Accident Analysis & Prevention (2021) Vol. 161, pp. 106344-106344
Closed Access | Times Cited: 22
A Review for the Driving Behavior Recognition Methods Based on Vehicle Multisensor Information
Dengfeng Zhao, Yudong Zhong, Zhijun Fu, et al.
Journal of Advanced Transportation (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 14
Distracted Driving Detection by Combining ViT and CNN
Yuan Li, Laifu Wang, Wei Mi, et al.
2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD) (2022), pp. 908-913
Closed Access | Times Cited: 12
A Full Transfer Learning LSTM-Based Fractional Order Optimization Method of GM($r$,2) for Inferring Driving Intention
Yufeng Lian, Zhongbo Sun, Shuaishi Liu, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 10741-10753
Closed Access | Times Cited: 2
Office Garbage Intelligent Classification Based on Inception-v3 Transfer Learning Model
Jiewen Feng, Xiaoyu Tang
Journal of Physics Conference Series (2020) Vol. 1487, Iss. 1, pp. 012008-012008
Open Access | Times Cited: 20
A Lightweight Attention-Based Network towards Distracted Driving Behavior Recognition
Yingcheng Lin, Dingxin Cao, Zanhao Fu, et al.
Applied Sciences (2022) Vol. 12, Iss. 9, pp. 4191-4191
Open Access | Times Cited: 11
Deep Learning-Based Abnormal Behavior Detection for Elderly Healthcare Using Consumer Network Cameras
Yinlong Zhang, Wei Liang, Xudong Yuan, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 2414-2422
Closed Access | Times Cited: 6
Deep CNN-based autonomous system for safety measures in logistics transportation
Abdelkarim Rouari, Abdelouahab Moussaoui, Youssef Chahir, et al.
Soft Computing (2021) Vol. 25, Iss. 18, pp. 12357-12370
Open Access | Times Cited: 13
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