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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:

Scaling multi-instance support vector machine to breast cancer detection on the BreaKHis dataset
Hoon Seo, Lodewijk Brand, Lucia Saldana Barco, et al.
Bioinformatics (2022) Vol. 38, Iss. Supplement_1, pp. i92-i100
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Classification and diagnostic prediction of breast cancer metastasis on clinical data using machine learning algorithms
Mahendran Botlagunta, Madhavi Devi Botlagunta, Myneni Madhu Bala, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 108
A Review of Machine Learning Algorithms for Biomedical Applications
V A Binson, Sania Thomas, M. Subramoniam, et al.
Annals of Biomedical Engineering (2024) Vol. 52, Iss. 5, pp. 1159-1183
Closed Access | Times Cited: 28
Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison
Imam Hossain, Mehadi Hasan Maruf, Md. Ashikur Rahman Khan, et al.
Iran Journal of Computer Science (2023) Vol. 6, Iss. 4, pp. 397-417
Open Access | Times Cited: 42
SELF: a stacked-based ensemble learning framework for breast cancer classification
Amit Kumar Jakhar, Aman Gupta, Mrityunjay Singh
Evolutionary Intelligence (2023) Vol. 17, Iss. 3, pp. 1341-1356
Open Access | Times Cited: 26
Enhancing breast cancer classification via histopathological image analysis: Leveraging self-supervised contrastive learning and transfer learning
Faisal Bin Ashraf, S. M. Maksudul Alam, Shahriar M. Sakib
Heliyon (2024) Vol. 10, Iss. 2, pp. e24094-e24094
Open Access | Times Cited: 12
Exploring Multiple Instance Learning (MIL): A brief survey
Muhammad Waqas, Syed Umaid Ahmed, Muhammad Atif Tahir, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123893-123893
Closed Access | Times Cited: 11
An effective approach for early liver disease prediction and sensitivity analysis
Md. Ashikur Rahman Khan, Faria Afrin, Farida Siddiqi Prity, et al.
Iran Journal of Computer Science (2023) Vol. 6, Iss. 4, pp. 277-295
Closed Access | Times Cited: 17
New design strategies of deep heterogenous convolutional neural networks ensembles for breast cancer diagnosis
Hasnae Zerouaoui, Omar El Alaoui, Ali Idri
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 65189-65220
Closed Access | Times Cited: 8
ViT-DeiT: An Ensemble Model for Breast Cancer Histopathological Images Classification
Amira Alotaibi, Tarik Alafif, Faris Alkhilaiwi, et al.
(2023), pp. 1-6
Open Access | Times Cited: 15
FabNet: A Features Agglomeration-Based Convolutional Neural Network for Multiscale Breast Cancer Histopathology Images Classification
Muhammad Amin, Hyun‐Sik Ahn
Cancers (2023) Vol. 15, Iss. 4, pp. 1013-1013
Open Access | Times Cited: 14
Efficient Breast Cancer Classification Network with Dual Squeeze and Excitation in Histopathological Images
Md. Mostafa Kamal Sarker, Farhan Akram, Mohammad Alsharid, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 103-103
Open Access | Times Cited: 19
Machine learning-based prediction of distant metastasis risk in invasive ductal carcinoma of the breast
Jingao Dong, R.Y. Lei, Feiyang Ma, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0310410-e0310410
Open Access
Enhanced Multi-Class Breast Cancer Classification from Whole-Slide Histopathology Images Using a Proposed Deep Learning Model
Adnan Rafiq, Arfan Jaffar, Ghazanfar Latif, et al.
Diagnostics (2025) Vol. 15, Iss. 5, pp. 582-582
Open Access
An Explainable Graph Neural Network Approach for Patch Selection Using a New Patch Score Metric in Breast Cancer Detection
E N Subhija, Vaninirappuputhenpurayil Gopalan Reju
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 3
Closed Access
An Improved XAI-Based DenseNet Model For Breast Cancer Detection Using Reconstruction And Fine-Tuning
Md. Alamin Talukder
Results in Engineering (2025), pp. 104802-104802
Open Access
HAMIL: Hierarchical aggregation-based multi-instance learning for microscopy image classification
Yang Yang, Yanlun Tu, Houchao Lei, et al.
Pattern Recognition (2022) Vol. 136, pp. 109245-109245
Open Access | Times Cited: 15
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
Application of artificial intelligence in cancer diagnosis and tumor nanomedicine
Junhao Wang, Guan Liu, Cheng Zhou, et al.
Nanoscale (2024) Vol. 16, Iss. 30, pp. 14213-14246
Closed Access | Times Cited: 3
MSF-Model: Multi-Scale Feature Fusion-Based Domain Adaptive Model for Breast Cancer Classification of Histopathology Images
Hameed Khan, Basit Raza, Abdul Waheed, et al.
IEEE Access (2022) Vol. 10, pp. 122530-122547
Open Access | Times Cited: 14
Recognizing Breast Cancer Using Edge-Weighted Texture Features of Histopathology Images
Arslan Akram
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 1, pp. 1081-1101
Open Access | Times Cited: 5
Adaptive magnification network for precise tumor analysis in histopathological images
Saeed Iqbal, Adnan N. Qureshi, Khursheed Aurangzeb, et al.
Computers in Human Behavior (2024) Vol. 156, pp. 108222-108222
Closed Access | Times Cited: 1
MobileNet-Based Model for Histopathological Breast Cancer Image Classification
Imen Mohamed ben ahmed, Rania Maalej, Monji Kherallah
Lecture notes in networks and systems (2023), pp. 636-643
Closed Access | Times Cited: 3
Breast Cancer Pathological Image Classification Based on Deep Learning
Rui Huang, Lican Huang
(2023), pp. 1323-1328
Closed Access | Times Cited: 3
SELF: A Stacked-based Ensemble Learning Framework for Breast Cancer Classification
Amit Kumar Jakhar, Aman Gupta, Mrityunjay Singh
Research Square (Research Square) (2022)
Closed Access | Times Cited: 5
Computer aided Breast lesions classification system using digitized fine needle aspirate images
Akash Chauhan, Indrajeet Kumar, Chandradeep Bhatt, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
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