Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Synthetic Data generation using DCGAN for improved traffic sign recognition
Christine Dewi, Rung-Ching Chen, Yanting Liu, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 24, pp. 21465-21480
Closed Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Yolo V4 for Advanced Traffic Sign Recognition With Synthetic Training Data Generated by Various GAN
Christine Dewi, Rung-Ching Chen, Yanting Liu, et al.
IEEE Access (2021) Vol. 9, pp. 97228-97242
Open Access | Times Cited: 148
Deep convolutional neural network for enhancing traffic sign recognition developed on Yolo V4
Christine Dewi, Rung-Ching Chen, Xiaoyi Jiang, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 26, pp. 37821-37845
Closed Access | Times Cited: 95
Road Traffic Sign Recognition Algorithm Based on Cascade Attention-Modulation Fusion Mechanism
Fengping An, Jianrong Wang, Ruijun Liu
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 17841-17851
Closed Access | Times Cited: 21
Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges
Ruhul Amin Khalil, Ziad Safelnasr, Naod Yemane, et al.
IEEE Open Journal of Vehicular Technology (2024) Vol. 5, pp. 397-427
Open Access | Times Cited: 19
Robust detection method for improving small traffic sign recognition based on spatial pyramid pooling
Christine Dewi, Rung-Ching Chen, Hui Yu, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 14, Iss. 7, pp. 8135-8152
Closed Access | Times Cited: 60
Improvement of Generative Adversarial Network and Its Application in Bearing Fault Diagnosis: A Review
Diwang Ruan, Xuran Chen, Clemens Gühmann, et al.
Lubricants (2023) Vol. 11, Iss. 2, pp. 74-74
Open Access | Times Cited: 22
Multi-stage generative adversarial networks for generating pavement crack images
Chengjia Han, Tao Ma, Ju Huyan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107767-107767
Closed Access | Times Cited: 15
Machine Learning in Petrology: State-of-the-Art and Future Perspectives
Maurizio Petrelli
Journal of Petrology (2024) Vol. 65, Iss. 5
Open Access | Times Cited: 11
A Comprehensive Survey of Deep Learning Approaches in Image Processing
Μαρία Τρίγκα, Ηλίας Δρίτσας
Sensors (2025) Vol. 25, Iss. 2, pp. 531-531
Open Access | Times Cited: 1
Eye Aspect Ratio for Real-Time Drowsiness Detection to Improve Driver Safety
Christine Dewi, Rung-Ching Chen, Chun‐Wei Chang, et al.
Electronics (2022) Vol. 11, Iss. 19, pp. 3183-3183
Open Access | Times Cited: 36
Generic image application using GANs (Generative Adversarial Networks): A Review
S Porkodi, V. Sarada, Vivek Maik, et al.
Evolving Systems (2022) Vol. 14, Iss. 5, pp. 903-917
Open Access | Times Cited: 28
Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges
Ruhul Amin Khalil, Ziad Safelnasr, Naod Yemane, et al.
(2024)
Open Access | Times Cited: 5
Leveraging GANs data augmentation for imbalanced medical image classification
Hongwei Ding, Nana Huang, Xiaohui Cui
Applied Soft Computing (2024) Vol. 165, pp. 112050-112050
Closed Access | Times Cited: 5
Robust and Fair Undersea Target Detection with Automated Underwater Vehicles for Biodiversity Data Collection
Ranjith Dinakaran, Zhang Li, Chang‐Tsun Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3680-3680
Open Access | Times Cited: 22
An automatic and integrated self-diagnosing system for the silting disease of drainage pipelines based on SSAE-TSNE and MS-LSTM
Danyang Di, Dianchang Wang, Hongyuan Fang, et al.
Tunnelling and Underground Space Technology (2023) Vol. 136, pp. 105076-105076
Closed Access | Times Cited: 11
MambaTSR: You only need 90k parameters for traffic sign recognition
Yiyuan Ge, Zhihao Chen, Mingxin Yu, et al.
Neurocomputing (2024) Vol. 599, pp. 128104-128104
Closed Access | Times Cited: 4
An efficient and lightweight detection method for stranded elastic needle defects in complex industrial environments using VEE-YOLO
Qiaoqiao Xiong, Qipeng Chen, Saihong Tang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Improving Road Safety with AI: Automated Detection of Signs and Surface Damage
Davide Merolla, Vittorio Latorre, Antonio Salis, et al.
Computers (2025) Vol. 14, Iss. 3, pp. 91-91
Open Access
Improved Deep Convolutional Generative Adversarial Network for Data Augmentation of Gas Polyethylene Pipeline Defect Images
Zihan Zhang, Yang Wang, Nan Lin, et al.
Applied Sciences (2025) Vol. 15, Iss. 8, pp. 4293-4293
Open Access
A Survey of Synthetic Data Generation for Machine Learning
Mohammad Abufadda, Khalid Mansour
2021 22nd International Arab Conference on Information Technology (ACIT) (2021), pp. 1-7
Closed Access | Times Cited: 24
Combination of Deep Cross-Stage Partial Network and Spatial Pyramid Pooling for Automatic Hand Detection
Christine Dewi, Henoch Juli Christanto
Big Data and Cognitive Computing (2022) Vol. 6, Iss. 3, pp. 85-85
Open Access | Times Cited: 18
Series arc fault diagnosis method of photovoltaic arrays based on GASF and improved DCGAN
Wei Gao, Hui Jin, Gengjie Yang
Advanced Engineering Informatics (2022) Vol. 54, pp. 101809-101809
Closed Access | Times Cited: 18
Image synthesis of apparel stitching defects using deep convolutional generative adversarial networks
Noor ul-Huda, Haseeb Ahmad, Ameen Banjar, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26466-e26466
Open Access | Times Cited: 3
Fast reconstruction of boiler numerical physical field based on proper orthogonal decomposition and conditional deep convolutional generative adversarial networks
Jiajian Long, Meirong Dong, Jieheng Zhou, et al.
International Journal of Green Energy (2024) Vol. 21, Iss. 12, pp. 2653-2671
Closed Access | Times Cited: 3
Wear monitoring of micro-milling tools based on Improved Siamese Neural Network
Gang Zheng, Xinfeng Lv, Xu Zhang, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) Vol. 238, Iss. 17, pp. 8715-8729
Closed Access | Times Cited: 3
Page 1 - Next Page

Scroll to top