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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:

Multi-label transfer learning for the early diagnosis of breast cancer
Hiba Chougrad, Hamid Zouaki, Omar Alheyane
Neurocomputing (2019) Vol. 392, pp. 168-180
Closed Access | Times Cited: 96

Showing 26-50 of 96 citing articles:

AdaBoost-based transfer learning method for positive and unlabelled learning problem
Bo Liu, Changdong Liu, Yanshan Xiao, et al.
Knowledge-Based Systems (2022) Vol. 241, pp. 108162-108162
Closed Access | Times Cited: 23
Diagnostic Strategies for Breast Cancer Detection: From Image Generation to Classification Strategies Using Artificial Intelligence Algorithms
Jesus A. Basurto-Hurtado, Irving A. Cruz‐Albarran, Manuel Toledano‐Ayala, et al.
Cancers (2022) Vol. 14, Iss. 14, pp. 3442-3442
Open Access | Times Cited: 23
Breast Cancer Diagnosis Based on IoT and Deep Transfer Learning Enabled by Fog Computing
Abhilash Pati, Manoranjan Parhi, Binod Kumar Pattanayak, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2191-2191
Open Access | Times Cited: 14
Breast Mammograms Diagnosis Using Deep Learning: State of Art Tutorial Review
Osama Bin Naeem, Yasir Saleem, M. Usman Ghani Khan, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 4, pp. 2431-2449
Closed Access | Times Cited: 4
Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications
Haseeb Javed, Shaker El-Sappagh, Tamer Abuhmed
Artificial Intelligence Review (2024) Vol. 58, Iss. 1
Open Access | Times Cited: 4
Neural Network-Based Mammography Analysis: Augmentation Techniques for Enhanced Cancer Diagnosis—A Review
Linda Blahová, Jozef Kostolný, Ivan Cimrák
Bioengineering (2025) Vol. 12, Iss. 3, pp. 232-232
Open Access
CanDiag: Fog Empowered Transfer Deep Learning Based Approach for Cancer Diagnosis
Abhilash Pati, Manoranjan Parhi, Binod Kumar Pattanayak, et al.
Designs (2023) Vol. 7, Iss. 3, pp. 57-57
Open Access | Times Cited: 12
Two-way threshold-based intelligent water drops feature selection algorithm for accurate detection of breast cancer
Dhruba Jyoti Kalita, Vibhav Prakash Singh, Vinay Kumar
Soft Computing (2021) Vol. 26, Iss. 5, pp. 2277-2305
Open Access | Times Cited: 25
An evaluation of the effectiveness of machine learning prediction models in assessing breast cancer risk
Mahmoud Darwich, Magdy Bayoumi
Informatics in Medicine Unlocked (2024) Vol. 49, pp. 101550-101550
Open Access | Times Cited: 3
Deep Cross-Training: An Approach to Improve Deep Neural Network Classification on Mammographic Images
Keila Lucas dos Santos, Marcelino Pereira dos Santos Silva
Expert Systems with Applications (2023) Vol. 238, pp. 122142-122142
Closed Access | Times Cited: 8
Transfer learning privileged information fuels CAD diagnosis of breast cancer
Tawseef Ayoub Shaikh, Rashid Ali, M. M. Sufyan Beg
Machine Vision and Applications (2020) Vol. 31, Iss. 1-2
Closed Access | Times Cited: 23
Tridirectional Transfer Learning for Predicting Gastric Cancer Morbidity
Qin Song, Yu‐Jun Zheng, Weiguo Sheng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 2, pp. 561-574
Closed Access | Times Cited: 21
An intelligent healthcare system for optimized breast cancer diagnosis using harmony search and simulated annealing (HS-SA) algorithm
Tawseef Ayoub Shaikh, Rashid Ali
Informatics in Medicine Unlocked (2020) Vol. 21, pp. 100408-100408
Open Access | Times Cited: 21
Histopathological image classification based on cross-domain deep transferred feature fusion
Pin Wang, Pufei Li, Yongming Li, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102705-102705
Closed Access | Times Cited: 19
A novel voting convergent difference neural network for diagnosing breast cancer
Zhijun Zhang, Bozhao Chen, Songqing Xu, et al.
Neurocomputing (2021) Vol. 437, pp. 339-350
Closed Access | Times Cited: 18
Multi-class Breast Cancer Classification Using CNN Features Hybridization
S. R. Sannasi Chakravarthy, N. Bharanidharan, Surbhi Bhatia, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Multiview multimodal network for breast cancer diagnosis in contrast-enhanced spectral mammography images
Jingqi Song, Yuanjie Zheng, Muhammad Zakir Ullah, et al.
International Journal of Computer Assisted Radiology and Surgery (2021) Vol. 16, Iss. 6, pp. 979-988
Closed Access | Times Cited: 17
Machine learning prediction of breast cancer survival using age, sex, length of stay, mode of diagnosis and location of cancer
Hilary I. Okagbue, Patience I. Adamu, Pelumi E. Oguntunde, et al.
Health and Technology (2021) Vol. 11, Iss. 4, pp. 887-893
Closed Access | Times Cited: 17
CADNet157 model: fine-tuned ResNet152 model for breast cancer diagnosis from mammography images
Raouia Mokni, Mariem Haoues
Neural Computing and Applications (2022) Vol. 34, Iss. 24, pp. 22023-22046
Closed Access | Times Cited: 11
Cross-domain decision making based on criterion weights and risk attitudes for the diagnosis of breast lesions
Chao Fu, Zijian Wu, Wenjun Chang, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 9575-9603
Closed Access | Times Cited: 6
Knowledge-driven feature engineering to detect multiple symptoms using ambulatory blood pressure monitoring data
Zaffar Haider Janjua, David Kerins, Brendan O’Flynn, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 217, pp. 106638-106638
Open Access | Times Cited: 10
A Decision-Making Tool for Early Detection of Breast Cancer on Mammographic Images
Duygu Çelik Ertuğrul, Shaad E. Abdullah
Tehnicki vjesnik - Technical Gazette (2022) Vol. 29, Iss. 5
Open Access | Times Cited: 10
Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset
Rebecca Sawyer Lee, Jared Dunnmon, Ann He, et al.
Journal of Biomedical Informatics (2020) Vol. 113, pp. 103656-103656
Open Access | Times Cited: 15
Leukocyte subtypes identification using bilinear self-attention convolutional neural network
Dongxu Yang, Hongdong Zhao, Tiecheng Han, et al.
Measurement (2020) Vol. 173, pp. 108643-108643
Closed Access | Times Cited: 13
Adversarial domain adaptation network for tumor image diagnosis
Chunmei He, Shunmin Wang, Hongyu Kang, et al.
International Journal of Approximate Reasoning (2021) Vol. 135, pp. 38-52
Closed Access | Times Cited: 12

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