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:

Data augmentation for medical imaging: A systematic literature review
Fabio Garcea, Alessio Serra, Fabrizio Lamberti, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106391-106391
Closed Access | Times Cited: 147

Showing 1-25 of 147 citing articles:

Advancements in point cloud data augmentation for deep learning: A survey
Qinfeng Zhu, Lei Fan, Ningxin Weng
Pattern Recognition (2024) Vol. 153, pp. 110532-110532
Open Access | Times Cited: 15

Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings
Heidi Lindroth, Keivan Nalaie, Roshini Raghu, et al.
Journal of Imaging (2024) Vol. 10, Iss. 4, pp. 81-81
Open Access | Times Cited: 13

Challenges and opportunities in the development and clinical implementation of artificial intelligence based synthetic computed tomography for magnetic resonance only radiotherapy
Fernanda Villegas, Riccardo Dal Bello, Emilie Alvarez-Andres, et al.
Radiotherapy and Oncology (2024) Vol. 198, pp. 110387-110387
Open Access | Times Cited: 7

Integrated multi-omics with machine learning to uncover the intricacies of kidney disease
Xinze Liu, Jingxuan Shi, Yuanyuan Jiao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 7

CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets
Mominul Islam, Hasib Zunair, Nabeel Mohammed
Computers in Biology and Medicine (2024) Vol. 172, pp. 108317-108317
Open Access | Times Cited: 6

Detecting wheat yellow dwarf disease by employing a Dual-Branch multiscale model from UAV multispectral images
Xingan Hao, Zexi Wang, Yuchen Zhang, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109898-109898
Closed Access

A Method for Sensitivity Analysis of Automatic Contouring Algorithms Across Different MRI Contrast Weightings Using SyntheticMR
Lucas McCullum, Zayne Belal, Warren Floyd, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access

Domain shift, domain adaptation, and generalization
Jonas Richiardi, Veronica Ravano, Nataliia Molchanova, et al.
Elsevier eBooks (2025), pp. 127-151
Closed Access

Forensic sex classification by convolutional neural network approach by VGG16 model: accuracy, precision and sensitivity
Cristiana Palmela Pereira, M. R. M. MAZULLO CORREIA, Diana Augusto, et al.
International Journal of Legal Medicine (2025)
Closed Access

Optimising solder joint inspection in printed circuit boards through X-ray imaging and machine learning integration
Biju Theruvil Sayed, Hamzah Ali Alkhazaleh, Paul Rodrigues, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-21
Closed Access

Diagnostic performance of artificial intelligence in detection of renal cell carcinoma: a systematic review and meta-analysis
Mahdi Gouravani, Mohammad Shahrabi Farahani, Mohammad Amin Salehi, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access

High-Quality, Low-Quantity: A Data-Centric Approach to Deep Learning Performance Optimization in Digital X-Ray Radiography
Bata Hena, Ziang Wei, Clemente Ibarra‐Castanedo, et al.
NDT & E International (2025), pp. 103327-103327
Open Access

A tumor inpainting framework for MRI using automated masks based on channel-specific conditions across the volume
Kyuri Kim, Hyungjoo Cho, Yoonho Na, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107579-107579
Closed Access

Enhancing Skin Cancer Detection Through Category Representation and Fusion of Pre-Trained Models
lingping kong, Juan D. Velásquez, Václav Snåšel, et al.
(2025)
Closed Access

A Review on the Efficacy of Different Data Augmentation Techniques for Deep Learning
Nripesh Tiwari, Shamama Anwar
Communications in computer and information science (2025), pp. 113-120
Closed Access

Automated Brain Tumor Identification in Biomedical Radiology Images: A Multi-Model Ensemble Deep Learning Approach
Sarfaraz Natha, Umm e Laila, Ibrahim Ahmed Gashim, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2210-2210
Open Access | Times Cited: 5

Few-shot learning for COVID-19 chest X-ray classification with imbalanced data: an inter vs. intra domain study
Alejandro Galán-Cuenca, Antonio‐Javier Gallego, Marcelo Saval-Calvo, et al.
Pattern Analysis and Applications (2024) Vol. 27, Iss. 3
Open Access | Times Cited: 5

D-TrAttUnet: Toward hybrid CNN-transformer architecture for generic and subtle segmentation in medical images
Fares Bougourzi, Fadi Dornaika, Cosimo Distante, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108590-108590
Open Access | Times Cited: 4

LEGAN: Addressing Intra-class Imbalance in GAN-based Medical Image Augmentation for Improved Imbalanced Data Classification
Hongwei Ding, Nana Huang, Yaoxin Wu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 4

Attention-guided residual W-Net for supervised cardiac magnetic resonance imaging segmentation
Kamal Raj Singh, Ambalika Sharma, Girish Kumar Singh
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105177-105177
Closed Access | Times Cited: 13

Hierarchical RIME algorithm with multiple search preferences for extreme learning machine training
Rui Zhong, Chao Zhang, Jun Yu
Alexandria Engineering Journal (2024) Vol. 110, pp. 77-98
Open Access | Times Cited: 4

Automatic detection of Opisthorchis viverrini egg in stool examination using convolutional-based neural networks
Tongjit Thanchomnang, Natthanai Chaibutr, Wanchai Maleewong, et al.
PeerJ (2024) Vol. 12, pp. e16773-e16773
Open Access | Times Cited: 3

Machine Learning for the Design and the Simulation of Radiofrequency Magnetic Resonance Coils: Literature Review, Challenges, and Perspectives
Giulio Giovannetti, Nunzia Fontana, Alessandra Flori, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1954-1954
Open Access | Times Cited: 3

Using Ultrasound Image Augmentation and Ensemble Predictions to Prevent Machine-Learning Model Overfitting
Eric J. Snider, Sofia I. Hernandez Torres, Ryan Hennessey
Diagnostics (2023) Vol. 13, Iss. 3, pp. 417-417
Open Access | Times Cited: 11

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