OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR
Yeşim Eroğlu, Muhammed Yıldırım, Ahmet Çınar
Computers in Biology and Medicine (2021) Vol. 133, pp. 104407-104407
Closed Access | Times Cited: 102

Showing 26-50 of 102 citing articles:

Detection and classification of glioma, meningioma, pituitary tumor, and normal in brain magnetic resonance imaging using deep learning-based hybrid model
Muhammed Yıldırım, Emine Cengil, Yeşim Eroğlu, et al.
Iran Journal of Computer Science (2023) Vol. 6, Iss. 4, pp. 455-464
Closed Access | Times Cited: 15

Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models
Seeta Devi, Ruchika Kaul Ghanekar, Jayshree Pande, et al.
Asian Pacific Journal of Cancer Prevention (2024) Vol. 25, Iss. 3, pp. 1077-1085
Open Access | Times Cited: 6

Pixel-guided pattern alignment based Hopfield Neural Networks for generalize cancer diagnosis
Fayadh Alenezi, Şaban Öztürk
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107397-107397
Closed Access

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

AnisotropicBreast-ViT: Breast Cancer Classification in Ultrasound Images Using Anisotropic Filtering and Vision Transformer
João Otávio Bandeira Diniz, Neilson P. Ribeiro, Domingos Dias, et al.
Lecture notes in computer science (2025), pp. 95-109
Closed Access

EHA-LNN: Optimized light gradient-boosting machine enabled neural network for cancer detection using mammography
M. Ganesh Kumar, Sreenath Kocharla, N. Yaswanth, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107540-107540
Closed Access

Advanced Hybridization and Optimization of DNNs for Medical Imaging: A Survey on Disease Detection Techniques
Maneet Kaur Bohmrah, Harjot Kaur
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access

Diagnosis of Thyroid Nodule Malignancy Using Peritumoral Region and Artificial Intelligence
Ali Abbasian Ardakani, Afshin Mohammadi, Chai Hong Yeong, et al.
Journal of Ultrasound in Medicine (2025)
Closed Access

Classification of Beef and Pork Using a Hybrid Model of ResNet-50 and Support Vector Machine (SVM)
Imam Syaukani, Siti Zarina Bte. Mohd Muji, Chessda Uttraphan Eh Kan
AMPLITUDO Journal of Science & Technology Innovation (2025) Vol. 4, Iss. 1, pp. 65-70
Closed Access

RADYOMİK ÖZELLİKLER VE MAKİNE ÖĞRENMESİ TEKNİKLERİYLE MEME TÜMÖRLERİNİN SINIFLANDIRILMASI
Asuman Kaplan, Esra Kavadar, Mehmet Ali Altuncu
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi (2025) Vol. 28, Iss. 1, pp. 38-50
Open Access

Is it useful to use computerized tomography image-based artificial intelligence modelling in the differential diagnosis of chronic otitis media with and without cholesteatoma?
Orkun Eroğlu, Yeşim Eroğlu, Muhammed Yıldırım, et al.
American Journal of Otolaryngology (2022) Vol. 43, Iss. 3, pp. 103395-103395
Closed Access | Times Cited: 23

NCA‐based hybrid convolutional neural network model for classification of cervical cancer on gauss‐enhanced pap‐smear images
Harun Bingöl
International Journal of Imaging Systems and Technology (2022) Vol. 32, Iss. 6, pp. 1978-1989
Closed Access | Times Cited: 23

Multi-feature fusion and improved BO and IGWO metaheuristics based models for automatically diagnosing the sleep disorders from sleep sounds
Sinem Akyol, Muhammed Yıldırım, Bilal Alataş
Computers in Biology and Medicine (2023) Vol. 157, pp. 106768-106768
Closed Access | Times Cited: 13

Breast cancer classification based on convolutional neural network and image fusion approaches using ultrasound images
Mohammed Alotaibi, Abdulrhman Aljouie, Najd Alluhaidan, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e22406-e22406
Open Access | Times Cited: 12

IDC-Net: Breast cancer classification network based on BI-RADS 4
Sanli Yi, Ziyan Chen, Furong She, et al.
Pattern Recognition (2024) Vol. 150, pp. 110323-110323
Closed Access | Times Cited: 4

A Multimodal Transfer Learning Approach Using PubMedCLIP for Medical Image Classification
Hong N. Dao, Tuyen D. Nguyen, Chérubin Mugisha, et al.
IEEE Access (2024) Vol. 12, pp. 75496-75507
Closed Access | Times Cited: 4

Axillary lymph node metastasis prediction by contrast-enhanced computed tomography images for breast cancer patients based on deep learning
Ziyi Liu, Sijie Ni, Chunmei Yang, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104715-104715
Closed Access | Times Cited: 27

A new improved maximal relevance and minimal redundancy method based on feature subset
Shanshan Xie, Yan Zhang, Danjv Lv, et al.
The Journal of Supercomputing (2022) Vol. 79, Iss. 3, pp. 3157-3180
Open Access | Times Cited: 21

An Ensembled Framework for Human Breast Cancer Survivability Prediction Using Deep Learning
Ehzaz Mustafa, Ehtisham Khan Jadoon, Sardar Khaliq uz Zaman, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1688-1688
Open Access | Times Cited: 10

A hybrid enhanced attention transformer network for medical ultrasound image segmentation
Tao Jiang, Wenyu Xing, Ming Yu, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105329-105329
Closed Access | Times Cited: 10

MDAA: multi-scale and dual-adaptive attention network for breast cancer classification
Wenxiu Li, Huiyun Long, Xiangbing Zhan, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 4, pp. 3133-3143
Closed Access | Times Cited: 3

Diagnosis and grading of vesicoureteral reflux on voiding cystourethrography images in children using a deep hybrid model
Yeşim Eroğlu, Kadir Yıldırım, Ahmet Çınar, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 210, pp. 106369-106369
Closed Access | Times Cited: 26

A hybrid approach for efficient multi‐classification of white blood cells based on transfer learning techniques and traditional machine learning methods
Emine Cengil, Ahmet Çınar, Muhammed Yıldırım
Concurrency and Computation Practice and Experience (2021) Vol. 34, Iss. 6
Closed Access | Times Cited: 24

Scroll to top