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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:

BC2NetRF: Breast Cancer Classification from Mammogram Images Using Enhanced Deep Learning Features and Equilibrium-Jaya Controlled Regula Falsi-Based Features Selection
Kiran Jabeen, Muhammad Attique Khan, Jamel Balili, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1238-1238
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Classification of skin cancer stages using a AHP fuzzy technique within the context of big data healthcare
Moslem Samiei, Alireza Hassani, Sliva Sarspy, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 11, pp. 8743-8757
Closed Access | Times Cited: 52
A novel fusion framework of deep bottleneck residual convolutional neural network for breast cancer classification from mammogram images
Kiran Jabeen, Muhammad Attique Khan, Mohamed Abdel Hameed, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 21
Breast cancer diagnosis: A systematic review
Xin Wen, Xing Guo, Shuihua Wang‎, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 1, pp. 119-148
Open Access | Times Cited: 16
Enhancing accessibility for improved diagnosis with modified EfficientNetV2-S and cyclic learning rate strategy in women with disabilities and breast cancer
Moteeb Al Moteri, T R Mahesh, Arastu Thakur, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 10
Neuro-XAI: Explainable deep learning framework based on deeplabV3+ and bayesian optimization for segmentation and classification of brain tumor in MRI scans
Tallha Saeed, Muhammad Attique Khan, Ameer Hamza, et al.
Journal of Neuroscience Methods (2024) Vol. 410, pp. 110247-110247
Closed Access | Times Cited: 7
A novel framework of multiclass skin lesion recognition from dermoscopic images using deep learning and explainable AI
Naveed Ahmad, Jamal Hussain Shah, Muhammad Attique Khan, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 21
Multi-classification deep neural networks for identification of fish species using camera captured images
Hassaan Malik, Ahmad Naeem, Shahzad Hassan, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284992-e0284992
Open Access | Times Cited: 16
Attention-map augmentation for hypercomplex breast cancer classification
Eleonora Lopez, Filippo Betello, Federico Carmignani, et al.
Pattern Recognition Letters (2024) Vol. 182, pp. 140-146
Open Access | Times Cited: 7
An intelligent healthcare framework for breast cancer diagnosis based on the information fusion of novel deep learning architectures and improved optimization algorithm
Kiran Jabeen, Muhammad Attique Khan, Robertas Damaševičius, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109152-109152
Closed Access | Times Cited: 6
Feature selection using game Shapley improved grey wolf optimizer for optimizing cancer classification
Sana Afreen, Ajay Kumar Bhurjee, Rabia Musheer Aziz
Knowledge and Information Systems (2025)
Closed Access
Applying YOLOv6 as an ensemble federated learning framework to classify breast cancer pathology images
Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An Efficient Lightweight Multi Head Attention Gannet Convolutional Neural Network Based Mammograms Classification
Ramkumar Muthukrishnan, A. Balasubramaniam, V. KRISHNASAMY, et al.
International Journal of Medical Robotics and Computer Assisted Surgery (2025) Vol. 21, Iss. 1
Closed Access
CbcErDL: Classification of breast cancer from mammograms using enhance image reduction and deep learning framework
Rohit Agrawal, Navneet Pratap Singh, Nitin Arvind Shelke, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 4
GBCHV an advanced deep learning anatomy aware model for accurate classification of gallbladder cancer utilizing ultrasound images
Md. Zahid Hasan, Md. Awlad Hossen Rony, Sadia Sultana Chowa, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Survey on deep learning in multimodal medical imaging for cancer detection
Yan Tian, Zhaocheng Xu, Yujun Ma, et al.
Neural Computing and Applications (2023)
Closed Access | Times Cited: 10
Enhancing breast ultrasound segmentation through fine-tuning and optimization techniques: Sharp attention UNet
Donya Khaledyan, Thomas J. Marini, Timothy M. Baran, et al.
PLoS ONE (2023) Vol. 18, Iss. 12, pp. e0289195-e0289195
Open Access | Times Cited: 10
An improved breast cancer classification with hybrid chaotic sand cat and Remora Optimization feature selection algorithm
Afnan M. Alhassan
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0300622-e0300622
Open Access | Times Cited: 3
Breast lesion classification from mammograms using deep neural network and test-time augmentation
Parita Oza, Paawan Sharma, Samir Patel
Neural Computing and Applications (2023) Vol. 36, Iss. 4, pp. 2101-2117
Closed Access | Times Cited: 8
Deep learning-based ensemble model for classification of breast cancer
Varsha Nemade, Sunil Pathak, Ashutosh Kumar Dubey
Microsystem Technologies (2023) Vol. 30, Iss. 5, pp. 513-527
Closed Access | Times Cited: 7
Improving breast cancer prediction via progressive ensemble and image enhancement
Huong Hoang Luong, Minh Dat Vo, Hong Phuc Phan, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Cross vision transformer with enhanced Growth Optimizer for breast cancer detection in IoMT environment
Mohamed Abd Elaziz, Abdelghani Dahou, Ahmad O. Aseeri, et al.
Computational Biology and Chemistry (2024) Vol. 111, pp. 108110-108110
Closed Access | Times Cited: 2
Machine Learning for Early Breast Cancer Detection
N. A. Chowdhury, Lulu Wang, Linxia Gu, et al.
Journal of Engineering and Science in Medical Diagnostics and Therapy (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 2
An optimized ensemble classifier for mammographic mass classification
Romesh Laishram, Rinku Rabidas
Computers & Electrical Engineering (2024) Vol. 119, pp. 109488-109488
Closed Access | Times Cited: 2
Knee Osteoarthritis Classification Using X-Ray Images Based on Optimal Deep Neural Network
Abdul Haseeb, Muhammad Attique Khan, Faheem Shehzad, et al.
Computer Systems Science and Engineering (2023) Vol. 47, Iss. 2, pp. 2397-2415
Open Access | Times Cited: 6
Improving the Automated Diagnosis of Breast Cancer with Mesh Reconstruction of Ultrasound Images Incorporating 3D Mesh Features and a Graph Attention Network
Sadia Sultana Chowa, Sami Azam, Sidratul Montaha, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1067-1085
Open Access | Times Cited: 1
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