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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 Complete Review on Image Denoising Techniques for Medical Images
Amandeep Kaur, Guanfang Dong
Neural Processing Letters (2023) Vol. 55, Iss. 6, pp. 7807-7850
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Recent developments in denoising medical images using deep learning: An overview of models, techniques, and challenges
Nahida Nazir, Abid Sarwar, Baljit Singh Saini
Micron (2024) Vol. 180, pp. 103615-103615
Closed Access | Times Cited: 17
An Image Denoising Technique Using Wavelet-Anisotropic Gaussian Filter-Based Denoising Convolutional Neural Network for CT Images
Teresa Kwamboka Abuya, Richard Rimiru, George Okeyo
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 12069-12069
Open Access | Times Cited: 11
A GPU-accelerated fuzzy method for real-time CT volume filtering
Celia Tendero Delicado, Mónica Chillaron, Josep Arnal, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0316354-e0316354
Open Access
Edge and texture aware image denoising using median noise residue U-net with hand-crafted features
Sriram Soniya, K. C. Sriharipriya
PeerJ Computer Science (2025) Vol. 11, pp. e2449-e2449
Open Access
Deep learning for medical imaging super-resolution: A comprehensive review
Hanguang Xiao, Zhiying Yang, Tianqi Liu, et al.
Neurocomputing (2025), pp. 129667-129667
Closed Access
Enhancing sputum image clarity with multi-scale deep analysis and vector median filtering
A. Amala Shiny, B. Sivagami
International Journal of Information Technology (2025)
Closed Access
Influence based explainability of brain tumors segmentation in magnetic resonance imaging
Tommaso Torda, Andrea Ciardiello, Simona Gargiulo, et al.
Progress in Artificial Intelligence (2025)
Open Access
Classification of the ICU Admission for COVID-19 Patients with Transfer Learning Models Using Chest X-Ray Images
Yun‐Chi Lin, Yu-Hua Fang
Diagnostics (2025) Vol. 15, Iss. 7, pp. 845-845
Open Access
Architectural design visual information mining system based on image processing technology
Junyu Pan
Journal of Intelligent Systems (2025) Vol. 34, Iss. 1
Open Access
A review of denoising methods in single-particle cryo-EM
Lin‐Hua Jiang, Bo Zhu, Wei Long, et al.
Micron (2025), pp. 103817-103817
Closed Access
Comparative Analysis of Noise Estimation Methods in Computed Tomography Images: Histogram Analysis, L2-Norm and SSIM, and CNN-Based Classification with ResNet50
Mahmoud Nasr, Krzysztof Brzostowski, Rafał Obuchowicz, et al.
Digital Signal Processing (2025), pp. 105242-105242
Closed Access
A fully automated, expert-perceptive image quality assessment system for whole-body [18F]FDG PET/CT
Cong Zhang, Xin Gao, Xuebin Zheng, et al.
EJNMMI Research (2025) Vol. 15, Iss. 1
Open Access
Innovative Deep Learning Image Technologies
Muhammad Akram, Sibghat Ullah Bazai, Muhammad Sulaman, et al.
Advances in computational intelligence and robotics book series (2025), pp. 145-180
Closed Access
Deep learning prediction of renal anomalies for prenatal ultrasound diagnosis
Olivier Miguel, Emily Kaczmarek, I.K. Lee, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Report on the AAPM grand challenge on deep generative modeling for learning medical image statistics
R. Deshpande, Varun A. Kelkar, Dimitrios S. Gotsis, et al.
Medical Physics (2024)
Open Access | Times Cited: 3
BFG&MSF-Net: Boundary Feature Guidance and Multi-Scale Fusion Network for Thyroid Nodule Segmentation
Jianuo Liu, Juncheng Mu, Haoran Sun, et al.
IEEE Access (2024) Vol. 12, pp. 78701-78713
Open Access | Times Cited: 3
A Fully Automated, Expert-Perceptive Image Quality Assessment System for Whole-Body [18F]FDG PET/CT
Cong Zhang, Xin Gao, Xuebin Zheng, et al.
Research Square (Research Square) (2025)
Closed Access
A Dual CT Image Denoising Approach Using Guided Filter and Method-Based Noise in the NSST Domain
Swapna Katta, Prabhishek Singh, Deepak Garg, et al.
The Open Bioinformatics Journal (2025) Vol. 18, Iss. 1
Open Access
Deep learning approaches for classification tasks in medical X-ray, MRI, and ultrasound images: a scoping review
Hafsa Laçi, Kozeta Sevrani, Sarfraz Iqbal
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
Post-processing electrical impedance tomography reconstructions with incomplete data using convolutional neural networks
Roberto G. Beraldo, Leonardo A. Ferreira, Fernando Silva de Moura, et al.
Applied Mathematics for Modern Challenges (2024) Vol. 2, Iss. 2, pp. 140-164
Closed Access | Times Cited: 2
Application of Convolutional Neural Networks for Parallel Multi-Scale Feature Extraction in Noise Image Denoising
Yiming Li, Tao Xie, Dongdong Mei
IEEE Access (2024) Vol. 12, pp. 98599-98610
Open Access | Times Cited: 2
Denoising Plane Wave Ultrasound Images Using Diffusion Probabilistic Models
Hojat Asgariandehkordi, Sobhan Goudarzi, Mostafa Sharifzadeh, et al.
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (2024) Vol. 71, Iss. 11, pp. 1526-1539
Closed Access | Times Cited: 2
Early Breast Cancer Detection Using Artificial Intelligence Techniques Based on Advanced Image Processing Tools
Zede Zhu, Yiran Sun, Barmak Honarvar Shakibaei Asli
Electronics (2024) Vol. 13, Iss. 17, pp. 3575-3575
Open Access | Times Cited: 2
Research and Implementation of Denoising Algorithm for Brain MRIs via Morphological Component Analysis and Adaptive Threshold Estimation
Buhailiqiemu Awudong, Paerhati Yakupu, Jingwen Yan, et al.
Mathematics (2024) Vol. 12, Iss. 5, pp. 748-748
Open Access | Times Cited: 1
Denoising of home OCT images using Noise2Noise trained on artificial eye data
Marc Rowedder, Timo Kepp, Tobias Neumann, et al.
Medical Imaging 2022: Image Processing (2024) Vol. 12, pp. 81-81
Closed Access | Times Cited: 1
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