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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:

Deep transfer learning for IDC breast cancer detection using fast AI technique and Sqeezenet architecture
Sushovan Chaudhury, Kartik Sau, Muhammad Attique Khan, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 6, pp. 10404-10427
Open Access | Times Cited: 12

Showing 12 citing articles:

A novel framework of multiclass skin lesion recognition from dermoscopic images using deep learning and explainable AI
Naveed Ahmad, Jamal Hussain Shah, Muhammad Attique Khan, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 21
Survey on deep learning in multimodal medical imaging for cancer detection
Yan Tian, Zhaocheng Xu, Yujun Ma, et al.
Neural Computing and Applications (2023)
Closed Access | Times Cited: 10
Enhancing breast ultrasound segmentation through fine-tuning and optimization techniques: Sharp attention UNet
Donya Khaledyan, Thomas J. Marini, Timothy M. Baran, et al.
PLoS ONE (2023) Vol. 18, Iss. 12, pp. e0289195-e0289195
Open Access | Times Cited: 10
Improving breast cancer prediction via progressive ensemble and image enhancement
Huong Hoang Luong, Minh Dat Vo, Hong Phuc Phan, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
CViTS-Net: A CNN-ViT Network With Skip Connections for Histopathology Image Classification
Anusree Kanadath, J. Angel Arul Jothi, Siddhaling Urolagin
IEEE Access (2024) Vol. 12, pp. 117627-117649
Open Access | Times Cited: 2
Explainable Artificial Intelligence Methods for Breast Cancer Recognition
Robertas Damaševičius
Deleted Journal (2024) Vol. 1, Iss. 3, pp. 25-25
Open Access | Times Cited: 2
Deep Transfer Learning for Automated Breast Cancer Screening
Poonam Gupta, Aaditya Jain, T Thiruvenkadam
(2024), pp. 1-6
Closed Access
Comparative Analysis to Identify Machine Learning Methods in Predicting Benign-Malignant Types of Breast Cancer
Gunawan Anak Agung Ngurah, Putu Astri Novianti, Anak Agung Ngurah Frady Cakra Negara, et al.
(2024)
Closed Access
Utility of a Three-dimensional Convolutional Neural Network-based Renal Function Prediction Using Kidney MRI in Chronic Kidney Disease
Keita Nagawa, Yuki Hara, Kaiji Inoue, et al.
Research Square (Research Square) (2024)
Open Access
Breast histopathological imaging using ultra‐fast fluorescence confocal microscopy to identify cancer lesions at early stage
Muhammad Mujahid, Amjad Rehman Khan, Mahyar Kolivand, et al.
Microscopy Research and Technique (2024) Vol. 87, Iss. 12, pp. 3047-3063
Closed Access
Deep Learning Theories and Methods for Breast Cancer Classification
Mengke Wang
(2023)
Open Access | Times Cited: 1
BCUIS‐Net: A breast cancer ultrasound image segmentation network via boundary‐aware and shape feature fusion
Haiyan Li, Xu Wang, Yiyin Tang, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 1
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