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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:

TraCon: A Novel Dataset for Real-Time Traffic Cones Detection Using Deep Learning
Iason Katsamenis, Eleni Eirini Karolou, Agapi Davradou, et al.
Lecture notes in networks and systems (2022), pp. 382-391
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Small-object detection based on YOLOv5 in autonomous driving systems
Bharat Mahaur, K. K. Mishra
Pattern Recognition Letters (2023) Vol. 168, pp. 115-122
Closed Access | Times Cited: 130
An improved lightweight small object detection framework applied to real-time autonomous driving
Bharat Mahaur, K. K. Mishra, Anoj Kumar
Expert Systems with Applications (2023) Vol. 234, pp. 121036-121036
Closed Access | Times Cited: 25
Real-Time Automatic Identification of Plastic Waste Streams for Advanced Waste Sorting Systems
R. Giel, Mateusz Fiedeń, Alicja Dąbrowska
Sustainability (2025) Vol. 17, Iss. 5, pp. 2157-2157
Open Access
YOLOv5 untuk Menghitung Sel Darah Merah dan Sel Darah Putih
Njoto Benarkah, Mohammad Farid Naufal, Billy Renatasiva
KELUWIH Jurnal Sains dan Teknologi (2024) Vol. 5, Iss. 1, pp. 10-18
Open Access | Times Cited: 3
Investigation of Edge Computing in Computer Vision-Based Construction Resource Detection
Chen Chen, Hao Gu, Shenghao Lian, et al.
Buildings (2022) Vol. 12, Iss. 12, pp. 2167-2167
Open Access | Times Cited: 14
In-field Chilli Crop Disease Detection Using YOLOv5 Deep Learning Technique
K M Mayalekshmi, Abhishek Ranjan, Rajendra Machavaram
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2023), pp. 1-6
Closed Access | Times Cited: 8
Deep Learning Model YOLOv5 for Red Chilies Detection from Chilly Crop Images
Pusala Pawan Venkata Sai Ram, Kaza Venkata Siva Yaswanth, Sujatha Kamepalli, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2023) Vol. 8, pp. 1-6
Closed Access | Times Cited: 7
Surface Defect Detection With Channel-Spatial Attention Modules and Bi-Directional Feature Pyramid
Xin Hai-tao, Zhang Kai
IEEE Access (2023) Vol. 11, pp. 88960-88970
Open Access | Times Cited: 7
Effective Brain Stroke Prediction with Deep Learning Model by Incorporating YOLO_5 and SSD
Y. Sailaja, Velumurugan Pattani
International Journal of Online and Biomedical Engineering (iJOE) (2023) Vol. 19, Iss. 14, pp. 63-75
Open Access | Times Cited: 4
Performance evaluation of a deep learning model for automatic detection and localization of idiopathic osteosclerosis on dental panoramic radiographs
Melek Taşsöker, Muhammet Üsame Özıç, Fatma YÜCE
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Developing a Machine-Learning-Based Automatic Incident Detection System for Traffic Safety: Promises and Limitations
Osama ElSahly, Akmal Abdelfatah
Infrastructures (2024) Vol. 9, Iss. 10, pp. 170-170
Open Access | Times Cited: 1
Comparative Study of Various Algorithms for Vehicle Detection and Counting in Traffic
Anand John, Divyakant Meva
Communications in computer and information science (2022), pp. 271-286
Closed Access | Times Cited: 7
Improved Detection and Tracking of Objects Based on a Modified Deep Learning Model (YOLOv5)
Nadia Ibrahim Nife, Mohammed Chtourou
International Journal of Interactive Mobile Technologies (iJIM) (2023) Vol. 17, Iss. 21, pp. 145-160
Open Access | Times Cited: 3
Automated Object Detection and Classification using Metaheuristics with Deep Learning on Surveillance Videos
V. Saikrishnan, M. Karthikeyan
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (2023), pp. 29-34
Closed Access | Times Cited: 2
Autonomous Tracking of ShenZhou Reentry Capsules Based on Heterogeneous UAV Swarms
Boxin Li, Boyang Liu, Dapeng Han, et al.
Drones (2022) Vol. 7, Iss. 1, pp. 20-20
Open Access | Times Cited: 3
Deep Learning based Road Traffic Assessment for Vehicle Rerouting: An Extensive Experimental Study of RetinaNet and YOLO Models
Anand John, Divyakant Meva, Nidhi Arora
International Research Journal of Multidisciplinary Technovation (2024), pp. 134-152
Open Access
YOLOv5-ACCOF Steel Surface Defect Detection Algorithm
Xin Hai-tao, Jiao Song
IEEE Access (2024) Vol. 12, pp. 157496-157506
Open Access
Utilizing Convolutional Neural Networks for Real-Time Object Tracking
Dhananjay Kumar Yadav, Neeraj Sharma, Febin Prakash
(2024), pp. 1-8
Closed Access
Real-Time Drowsiness Detection System for Student Tracking using Machine Learning
Dilipkumar A. Borikar, Himani Dighorikar, Shridhar Ashtikar, et al.
INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING (2023)
Open Access | Times Cited: 1
Low-Cost Object Detection Models for Traffic Control Devices through Domain Adaption of Geographical Regions
Dahyun Oh, Kyubyung Kang, SungChul Seo, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2584-2584
Open Access | Times Cited: 1
Urban Work Zone Detection and Sizing: A Data-Centric Training and Topology-Based Inference Approach
Fan Zuo, Jingqin Gao, Kaan Özbay, et al.
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023), pp. 3235-3240
Closed Access | Times Cited: 1
SWVie-Food: A Dataset for Recognizing Foods in Southwest Vietnam Based on Deep Learning
Khang Nhứt Lâm, My-Khanh Thi Nguyen, Khang Duy Nguyen, et al.
2022 RIVF International Conference on Computing and Communication Technologies (RIVF) (2022), pp. 488-493
Closed Access | Times Cited: 1
Towards Multi-Camera System for the Evaluation of Motorcycle Driving Test
Giuseppe Riccardo Leone, Marco Righi, Davide Moroni, et al.
(2022), pp. 561-568
Open Access | Times Cited: 1
Proposing Lung Abnormality Detection Model Using AI
Phat Nguyen Huu, Bach Le Gia, Bang Nguyen Anh, et al.
Lecture notes in networks and systems (2023), pp. 40-46
Closed Access
Automated Object Detection and Classification using Krill Herd Algorithm with Deep Learning on Surveillance Videos
V. Saikrishnan, M. Karthikeyan
International Journal of Science and Research (IJSR) (2023) Vol. 12, Iss. 10, pp. 86-92
Open Access
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