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:

SAFNet: A deep spatial attention network with classifier fusion for breast cancer detection
Siyuan Lu, Shuihua Wang‎, Yudong Zhang
Computers in Biology and Medicine (2022) Vol. 148, pp. 105812-105812
Open Access | Times Cited: 24

Showing 24 citing articles:

Deep Learning-based Automatic Diagnosis of Breast Cancer on MRI Using Mask R-CNN for Detection Followed by ResNet50 for Classification
Yang Zhang, Y. Liu, Ke Nie, et al.
Academic Radiology (2023) Vol. 30, pp. S161-S171
Open Access | Times Cited: 41

FCCS-Net: Breast cancer classification using Multi-Level fully Convolutional-Channel and spatial attention-based transfer learning approach
Ritesh Maurya, Nageshwar Nath Pandey, Malay Kishore Dutta, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106258-106258
Closed Access | Times Cited: 11

Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism
Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, et al.
IEEE Access (2024) Vol. 12, pp. 51942-51965
Open Access | Times Cited: 10

Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images
Jaouad Tagnamas, Hiba Ramadan, Ali Yahyaouy, et al.
Visual Computing for Industry Biomedicine and Art (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 9

BF2SkNet: best deep learning features fusion-assisted framework for multiclass skin lesion classification
Muhammad Ajmal, Muhammad Attique Khan, Tallha Akram, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 30, pp. 22115-22131
Closed Access | Times Cited: 26

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

Breast lesion classification using features fusion and selection of ensemble ResNet method
Gülhan Kılıçarslan, Canan Koç, Fatih Özyurt, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 5, pp. 1779-1795
Closed Access | Times Cited: 9

A novel deep CNN model for improved breast cancer detection using ultrasound images
P.K. Samanta, Nirmal Kumar Rout, Ganapati Panda
(2023), pp. 1-4
Closed Access | Times Cited: 7

TDF-Net: Trusted Dynamic Feature Fusion Network for breast cancer diagnosis using incomplete multimodal ultrasound
Pengfei Yan, Wushuang Gong, Minglei Li, et al.
Information Fusion (2024) Vol. 112, pp. 102592-102592
Closed Access | Times Cited: 2

Breast Cancer Image Classification Using External Attention Multilayer Perceptron-Based Transformer
Shemonti Barua, Md. Saiful Islam
(2024), pp. 1-6
Closed Access | Times Cited: 1

Breast Tumor Detection and Diagnosis Using an Improved Faster R-CNN in DCE-MRI
Haitian Gui, Jiao Han, Li Li, et al.
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1217-1217
Open Access | Times Cited: 1

A dual-attention based coupling network for diabetes classification with heterogeneous data
Lei Wang, Zhenglin Pan, Wei Liu, et al.
Journal of Biomedical Informatics (2023) Vol. 139, pp. 104300-104300
Open Access | Times Cited: 3

Comparison Between Manual and Automated Assessment of Ki-67 in Breast Carcinoma: Test of a Simple Method in Daily Practice
Xavier Catteau, Egor Zindy, Sarah Bouri, et al.
Technology in Cancer Research & Treatment (2023) Vol. 22
Open Access | Times Cited: 3

A Multi-attention Triple Decoder Deep Convolution Network for Breast Cancer Segmentation Using Ultrasound Images
Muhammad Junaid Umer, Muhammad Sharif, Mudassar Raza
Cognitive Computation (2023) Vol. 16, Iss. 2, pp. 581-594
Closed Access | Times Cited: 3

Early cancer detection using deep learning and medical imaging: A survey
Istiak Ahmad, Fahad Alqurashi
Critical Reviews in Oncology/Hematology (2024) Vol. 204, pp. 104528-104528
Open Access

Innovative breast cancer detection using a segmentation-guided ensemble classification framework
P. Manju Bala, U. Palani
Biomedical Engineering Letters (2024) Vol. 15, Iss. 1, pp. 179-191
Closed Access

Interactively Fusing Global and Local Features for Benign and Malignant Classification of Breast Ultrasound Images
Wenhan Wang, Jiale Zhou, Jin Zhao, et al.
Ultrasound in Medicine & Biology (2024)
Closed Access

Breast Cancer Detection with Optimized Machine-Learning Techniques
Vyankatesh Shahapurkar, Vidya Dhamdhere, Nirwan Ansari
Lecture notes in networks and systems (2024), pp. 269-278
Closed Access

Bio-Inspired ensemble feature selection and deep auto-encoder approach for rapid diagnosis of breast cancer
V. Praveena, L. R. Sujithra, S. Karthik, et al.
Multimedia Systems (2023) Vol. 29, Iss. 6, pp. 3403-3419
Closed Access

A Hybrid Intelligent Approach to Breast Cancer Diagnosis and Treatment Using Grey Wolf Optimization Algorithm
Mohammad Jafar Dehghan, Amirabbas Azizi
Jundishapur Journal of Natural Pharmaceutical Products (2023) Vol. 18, Iss. 4
Open Access

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