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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:

Neural networks model based on an automated multi-scale method for mammogram classification
Lizhang Xie, Lei Zhang, Ting Hu, et al.
Knowledge-Based Systems (2020) Vol. 208, pp. 106465-106465
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach
Debendra Muduli, Ratnakar Dash, Banshidhar Majhi
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 102825-102825
Closed Access | Times Cited: 117
Multi-Level Attention Network for Retinal Vessel Segmentation
Yuchen Yuan, Lei Zhang, Lituan Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 1, pp. 312-323
Closed Access | Times Cited: 80
Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms
Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher
Physica Medica (2023) Vol. 114, pp. 103138-103138
Open Access | Times Cited: 32
Medical images classification using deep learning: a survey
Rakesh Kumar, Pooja Kumbharkar, Sandeep Vanam, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 19683-19728
Closed Access | Times Cited: 28
Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset
Mingzhao Wang, Ran Liu, Joseph Luttrell, et al.
Journal of Multidisciplinary Healthcare (2025) Vol. Volume 18, pp. 675-695
Open Access | Times Cited: 1
Fast discrete curvelet transform and modified PSO based improved evolutionary extreme learning machine for breast cancer detection
Debendra Muduli, Ratnakar Dash, Banshidhar Majhi
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102919-102919
Closed Access | Times Cited: 52
Patchless Multi-Stage Transfer Learning for Improved Mammographic Breast Mass Classification
Gelan Ayana, Jinhyung Park, Se‐woon Choe
Cancers (2022) Vol. 14, Iss. 5, pp. 1280-1280
Open Access | Times Cited: 30
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: 7
Evolutionary neural architecture search based on evaluation correction and functional units
Ronghua Shang, Songling Zhu, Jinhong Ren, et al.
Knowledge-Based Systems (2022) Vol. 251, pp. 109206-109206
Closed Access | Times Cited: 24
Neural network model based on global and local features for multi-view mammogram classification
Lili Xia, Jianpeng An, Chao Ma, et al.
Neurocomputing (2023) Vol. 536, pp. 21-29
Closed Access | Times Cited: 14
MsGoF: Breast lesion classification on ultrasound images by multi-scale gradational-order fusion framework
Shengzhou Zhong, Chao Tu, Xiuyu Dong, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 230, pp. 107346-107346
Closed Access | Times Cited: 13
Convolutional Feature Descriptor Selection for Mammogram Classification
Dong Li, Lei Zhang, Jianwei Zhang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 3, pp. 1467-1476
Closed Access | Times Cited: 11
Breast Cancer Diagnosis Using YOLO-Based Multiscale Parallel CNN and Flattened Threshold Swish
Ahmed Dhahi Mohammed, Dursun Ekmekci
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2680-2680
Open Access | Times Cited: 4
Vision Transformers-Based Transfer Learning for Breast Mass Classification From Multiple Diagnostic Modalities
Gelan Ayana, Se‐woon Choe
Journal of Electrical Engineering and Technology (2024) Vol. 19, Iss. 5, pp. 3391-3410
Closed Access | Times Cited: 4
Multi‐scale attention‐based convolutional neural network for classification of breast masses in mammograms
Jing Niu, Hua Li, Chen Zhang, et al.
Medical Physics (2021) Vol. 48, Iss. 7, pp. 3878-3892
Closed Access | Times Cited: 27
Mammogram classification based on a novel convolutional neural network with efficient channel attention
Qiong Lou, Yingying Li, Yaguan Qian, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106082-106082
Closed Access | Times Cited: 18
A probabilistic data analytics methodology based on Bayesian Belief network for predicting and understanding breast cancer survival
Asli Z. Dag, Zumrut Akcam, Eyyüb Y. Kıbış, et al.
Knowledge-Based Systems (2022) Vol. 242, pp. 108407-108407
Open Access | Times Cited: 17
A novel approach for automatic tumor detection and localization in mammography images via mixture of factor analyzers based on co-clustering
Rahman Farnoosh, Fatemeh Aghagoli
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106038-106038
Closed Access | Times Cited: 3
BiaCanDet: Bioelectrical impedance analysis for breast cancer detection with space-time attention neural network
Feng Yu, Z. J. Xiao, Li Liu, et al.
Expert Systems with Applications (2025), pp. 126223-126223
Closed Access
Hybrid transformer‐based model for mammogram classification by integrating prior and current images
Afsana Ahsan Jeny, Sahand Hamzehei, Annie Jin, et al.
Medical Physics (2025) Vol. 52, Iss. 5, pp. 2999-3014
Closed Access
Local Extremum Mapping for Weak Supervision Learning on Mammogram Classification and Localization
Minjuan Zhu, Lei Zhang, Lituan Wang, et al.
Bioengineering (2025) Vol. 12, Iss. 4, pp. 325-325
Open Access
Breast Cancer Semantic Segmentation for Accurate Breast Cancer Detection with an Ensemble Deep Neural Network
T. Nagalakshmi
Neural Processing Letters (2022) Vol. 54, Iss. 6, pp. 5185-5198
Closed Access | Times Cited: 13
Classification of liver lesions in CT images based on LivlesioNet, modified Multi-Scale CNN with bridge Scale method
Gedeon Kashala Kabe, Zhe Liu
Multimedia Tools and Applications (2023) Vol. 83, Iss. 3, pp. 8911-8929
Closed Access | Times Cited: 7
Deep Multiscale Multi-Instance Networks With Regional Scoring for Mammogram Classification
Wenjie Liu, Xin Shu, Lei Zhang, et al.
IEEE Transactions on Artificial Intelligence (2021) Vol. 3, Iss. 3, pp. 485-496
Closed Access | Times Cited: 15
Performance Analysis of Breast Cancer Classification from Mammogram Images Using Vision Transformer
Naiwrita Borah, Pooja Varma, Ashis Datta, et al.
2020 IEEE Calcutta Conference (CALCON) (2022)
Closed Access | Times Cited: 8
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