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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:

Dilated Semantic Segmentation for Breast Ultrasonic Lesion Detection Using Parallel Feature Fusion
Rizwana Irfan, Abdulwahab Ali Almazroi, Hafiz Tayyab Rauf, et al.
Diagnostics (2021) Vol. 11, Iss. 7, pp. 1212-1212
Open Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion
Kiran Jabeen, Muhammad Attique Khan, Majed Alhaisoni, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 807-807
Open Access | Times Cited: 197
AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images
Gongping Chen, Lei Li, Yu Dai, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 5, pp. 1289-1300
Open Access | Times Cited: 144
TTCNN: A Breast Cancer Detection and Classification towards Computer-Aided Diagnosis Using Digital Mammography in Early Stages
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3273-3273
Open Access | Times Cited: 101
Deep learning model for fully automated breast cancer detection system from thermograms
Esraa Mohamed, Essam A. Rashed, Tarek Gaber, et al.
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0262349-e0262349
Open Access | Times Cited: 78
Efficient Breast Cancer Diagnosis from Complex Mammographic Images Using Deep Convolutional Neural Network
Hameedur Rahman, Tanvir Fatima Naik Bukht, Rozilawati Ahmad, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 43
Systematic Review of Computing Approaches for Breast Cancer Detection Based Computer Aided Diagnosis Using Mammogram Images
Dilovan Asaad Zebari, Dheyaa Ahmed Ibrahim, Diyar Qader Zeebaree, et al.
Applied Artificial Intelligence (2021) Vol. 35, Iss. 15, pp. 2157-2203
Open Access | Times Cited: 80
COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion
Muhammad Attique Khan, Majed Alhaisoni, Usman Tariq, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7286-7286
Open Access | Times Cited: 78
Breast Cancer Detection Using Mammogram Images with Improved Multi-Fractal Dimension Approach and Feature Fusion
Dilovan Asaad Zebari, Dheyaa Ahmed Ibrahim, Diyar Qader Zeebaree, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 12122-12122
Open Access | Times Cited: 78
A Multi-Agent Deep Reinforcement Learning Approach for Enhancement of COVID-19 CT Image Segmentation
Hanane Allioui, Mazin Abed Mohammed, Narjes Benameur, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 2, pp. 309-309
Open Access | Times Cited: 64
An Optimized Framework for Breast Cancer Classification Using Machine Learning
Epimack Michael, He Ma, Hong Li, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 58
A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images
David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Sanjay Misra, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 54
AMS-PAN: Breast ultrasound image segmentation model combining attention mechanism and multi-scale features
Yuchao Lyu, Yinghao Xu, Xi Jiang, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104425-104425
Open Access | Times Cited: 45
A Novel Transfer Learning-Based Model for Ultrasound Breast Cancer Image Classification
Saksham Gupta, Satvik Agrawal, Sunil K. Singh, et al.
Advances in intelligent systems and computing (2023), pp. 511-523
Closed Access | Times Cited: 27
Breast UltraSound Image classification using fuzzy-rank-based ensemble network
Sagar Deep Deb, Rajib Kumar Jha
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104871-104871
Closed Access | Times Cited: 22
A Survey of Convolutional Neural Network in Breast Cancer
Ziquan Zhu, Shuihua Wang‎, Yudong Zhang
Computer Modeling in Engineering & Sciences (2022) Vol. 136, Iss. 3, pp. 2127-2172
Open Access | Times Cited: 36
Automatic detection of breast cancer in ultrasound images using Mayfly algorithm optimized handcrafted features
K. Vijayakumar, V. Rajinikanth, M. K. Kirubakaran
Journal of X-Ray Science and Technology (2022) Vol. 30, Iss. 4, pp. 751-766
Closed Access | Times Cited: 31
Improving Breast Cancer Detection and Diagnosis through Semantic Segmentation Using the Unet3+ Deep Learning Framework
Taukir Alam, Wei-Chung Shia, Fang-Rong Hsu, et al.
Biomedicines (2023) Vol. 11, Iss. 6, pp. 1536-1536
Open Access | Times Cited: 20
Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model
Shahed Hossain, Sami Azam, Sidratul Montaha, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21369-e21369
Open Access | Times Cited: 19
MF-Net: Multiple-feature extraction network for breast lesion segmentation in ultrasound images
Jiajia Wang, Guoqi Liu, Dong Liu, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123798-123798
Closed Access | Times Cited: 6
A Cross-scale Attention-Based U-Net for Breast Ultrasound Image Segmentation
Teng Wang, Jun Liu, Jinshan Tang
Deleted Journal (2025)
Closed Access
A Framework Utilizing Deep Learning for Detecting Multiple Cancers in Medical Imaging
Ketan Sanjay Desale, Ankush Ambhore, Prasanna Asole, et al.
Lecture notes in networks and systems (2025), pp. 111-120
Closed Access
Ensemble Machine Learning Algorithms for Precision Breast Cancer Diagnosis: A Multi-criteria Evaluation Approach
Srinivasa Rao Pallapu, Syed Khasim
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
Quantifying Recent State-of-Arts for Breast Cancer Segmentation, Detection and Classification: A Review
Job Prasanth Kumar Chintakunta, Vijayalakshmi A. Lepakshi
E3S Web of Conferences (2025) Vol. 616, pp. 02015-02015
Open Access
An efficient deep learning strategy for accurate and automated detection of breast tumors in ultrasound image datasets
Luyao Li, Yupeng Niu, Fa Tian, et al.
Frontiers in Oncology (2025) Vol. 14
Open Access
A Novel Hybrid K-Means and GMM Machine Learning Model for Breast Cancer Detection
P. Esther Jebarani, N Umadevi, Hien Dang, et al.
IEEE Access (2021) Vol. 9, pp. 146153-146162
Open Access | Times Cited: 39
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