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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 comprehensive survey of recent trends in deep learning for digital images augmentation
Nour Eldeen M. Khalifa, Mohamed Loey, Seyedali Mirjalili
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 2351-2377
Open Access | Times Cited: 233

Showing 1-25 of 233 citing articles:

A Comprehensive Survey of Image Augmentation Techniques for Deep Learning
Mingle Xu, Sook Yoon, Alvaro Fuentes, et al.
Pattern Recognition (2023) Vol. 137, pp. 109347-109347
Open Access | Times Cited: 287
Data augmentation: A comprehensive survey of modern approaches
Alhassan Mumuni, Fuseini Mumuni
Array (2022) Vol. 16, pp. 100258-100258
Closed Access | Times Cited: 284
Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review
Yuzhen Lu, Dong Chen, Ebenezer O. Olaniyi, et al.
Computers and Electronics in Agriculture (2022) Vol. 200, pp. 107208-107208
Open Access | Times Cited: 155
Data Augmentation in Classification and Segmentation: A Survey and New Strategies
Khaled Alomar, Halil Ibrahim Aysel, Xiaohao Cai
Journal of Imaging (2023) Vol. 9, Iss. 2, pp. 46-46
Open Access | Times Cited: 111
Deep Learning for Medical Image-Based Cancer Diagnosis
Xiaoyan Jiang, Zuojin Hu, Shuihua Wang‎, et al.
Cancers (2023) Vol. 15, Iss. 14, pp. 3608-3608
Open Access | Times Cited: 89
Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation
Mohammad Ashraf Ottom, Hanif Abdul Rahman, Ivo D. Dinov
IEEE Journal of Translational Engineering in Health and Medicine (2022) Vol. 10, pp. 1-8
Open Access | Times Cited: 82
Deep learning: systematic review, models, challenges, and research directions
Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch
Neural Computing and Applications (2023) Vol. 35, Iss. 31, pp. 23103-23124
Open Access | Times Cited: 79
Convolutional Neural Network in Medical Image Analysis: A Review
Sapna Singh Kshatri, Deepak Singh
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 4, pp. 2793-2810
Closed Access | Times Cited: 49
A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images
Mohaimenul Azam Khan Raiaan, Kaniz Fatema, Inam Ullah Khan, et al.
IEEE Access (2023) Vol. 11, pp. 42361-42388
Open Access | Times Cited: 49
Tabular and latent space synthetic data generation: a literature review
João Fonseca, Fernando Bação
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 44
AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications
Pu Chen, Linna Wu, Lei Wang
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10258-10258
Open Access | Times Cited: 43
Sustainable Advanced Techniques for Enhancing the Image Process
Pranjit Das, P. S. Ramapraba, K. Seethalakshmi, et al.
Practice, progress, and proficiency in sustainability (2024), pp. 350-374
Closed Access | Times Cited: 15
Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities
Sachin Kumar Gupta, Ashish Kumar Tripathi
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108260-108260
Closed Access | Times Cited: 14
A Wildfire Smoke Detection System Using Unmanned Aerial Vehicle Images Based on the Optimized YOLOv5
Mukhriddin Mukhiddinov, Akmalbek Abdusalomov, Jinsoo Cho
Sensors (2022) Vol. 22, Iss. 23, pp. 9384-9384
Open Access | Times Cited: 62
Automatic Fire Detection and Notification System Based on Improved YOLOv4 for the Blind and Visually Impaired
Mukhriddin Mukhiddinov, Akmalbek Abdusalomov, Jinsoo Cho
Sensors (2022) Vol. 22, Iss. 9, pp. 3307-3307
Open Access | Times Cited: 55
Segmentation of Liver Tumor in CT Scan Using ResU-Net
Muhammad Waheed Sabir, Zia U. Khan, Mohamad Naufal Mohamad Saad, et al.
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8650-8650
Open Access | Times Cited: 38
Survey: Image mixing and deleting for data augmentation
Humza Naveed, Saeed Anwar, Munawar Hayat, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 131, pp. 107791-107791
Open Access | Times Cited: 30
An Efficient Hybrid CNN Classification Model for Tomato Crop Disease
Maria Vasiliki Sanida, Theodora Sanida, Argyrios Sideris, et al.
Technologies (2023) Vol. 11, Iss. 1, pp. 10-10
Open Access | Times Cited: 24
Model-Based Data Augmentation Applied to Deep Learning Networks for Classification of Micro-Doppler Signatures Using FMCW Radar
Neda Rojhani, Marco Passafiume, Mehdi SadeghiBakhi, et al.
IEEE Transactions on Microwave Theory and Techniques (2023) Vol. 71, Iss. 5, pp. 2222-2236
Open Access | Times Cited: 23
A review of synthetic and augmented training data for machine learning in ultrasonic non-destructive evaluation
Sebastian Uhlig, I. Alkhasli, Frank Schubert, et al.
Ultrasonics (2023) Vol. 134, pp. 107041-107041
Open Access | Times Cited: 22
Machine Learning Approach for Detecting Liver Tumours in CT images using the Gray Level Co-Occurrence Metrix
S. Aruna, A. Saranya, D Guru Pandi, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 20
Building typology classification using convolutional neural networks utilizing multiple ground-level image process for city-scale rapid seismic vulnerability assessment
Hafidz Rizky Firmansyah, Prasanti Widyasih Sarli, Andru Putra Twinanda, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107824-107824
Open Access | Times Cited: 10
A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions
Tauhidul Islam, Md. Sadman Hafiz, Jamin Rahman Jim, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100340-100340
Open Access | Times Cited: 9
Experiments on image data augmentation techniques for geological rock type classification with convolutional neural networks
Afshin Tatar, Manouchehr Haghighi, Abbas Zeinijahromi
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 6
Temperature excavation to boost machine learning battery thermochemical predictions
Yu Wang, Xuning Feng, Dongxu Guo, et al.
Joule (2024) Vol. 8, Iss. 9, pp. 2639-2651
Closed Access | Times Cited: 6
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