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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-Classification of Breast Cancer Lesions in Histopathological Images Using DEEP_Pachi: Multiple Self-Attention Head
Chiagoziem C. Ukwuoma, Md Altab Hossain, Jehoiada Jackson, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1152-1152
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images
Chiagoziem C. Ukwuoma, Dongsheng Cai, Md Belal Bin Heyat, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 7, pp. 101596-101596
Open Access | Times Cited: 38
Enhanced Pre-Trained Xception Model Transfer Learned for Breast Cancer Detection
Shubhangi A. Joshi, Anupkumar M. Bongale, P. Olof Olsson, et al.
Computation (2023) Vol. 11, Iss. 3, pp. 59-59
Open Access | Times Cited: 29
Modality Specific CBAM-VGGNet Model for the Classification of Breast Histopathology Images via Transfer Learning
Areesha Ijaz, Basit Raza, Iqra Kiran, et al.
IEEE Access (2023) Vol. 11, pp. 15750-15762
Open Access | Times Cited: 26
Machine learning, IoT and 5G technologies for breast cancer studies: A review
Havva Elif Saroğlu, Ibraheem Shayea, Bilal Saoud, et al.
Alexandria Engineering Journal (2024) Vol. 89, pp. 210-223
Open Access | Times Cited: 13
Accuracy Analysis of Deep Learning Methods in Breast Cancer Classification: A Structured Review
Marina Yusoff, Toto Haryanto, Heru Suhartanto, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 683-683
Open Access | Times Cited: 20
A Comprehensive Review and Analysis of Deep Learning-Based Medical Image Adversarial Attack and Defense
Gladys Wavinya Muoka, Ding Yi, Chiagoziem C. Ukwuoma, et al.
Mathematics (2023) Vol. 11, Iss. 20, pp. 4272-4272
Open Access | Times Cited: 18
Artificial Intelligence Breakthroughs in Pioneering Early Diagnosis and Precision Treatment of Breast Cancer: A Multimethod Study
Mohammad Reza Darbandi, Mahsa Darbandi, Sara Darbandi, et al.
European Journal of Cancer (2024) Vol. 209, pp. 114227-114227
Closed Access | Times Cited: 6
Deep learning for personalized health monitoring and prediction: A review
Robertas Damaševičius, Senthil Kumar Jagatheesaperumal, Kandala N. V. P. S. Rajesh, et al.
Computational Intelligence (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 5
Artificial Intelligence in Forensic Pathology: Multi-Organ Postmortem Pathomics for Estimating Postmortem Interval
Guo-shuai An, Yu Gao, Siyuan Cheng, et al.
(2025)
Closed Access
Automated Breast Cancer Detection: A Review
Rozah AlKhater, Somaya Al‐Maadeed
Communications in computer and information science (2025), pp. 297-310
Closed Access
Integrating sparse graph convolution and capsule networks for superior breast cancer diagnosis
P. Manju Bala, U. Palani
Evolving Systems (2025) Vol. 16, Iss. 2
Closed Access
Rapid tri-net: breast cancer classification from histology images using rapid tri-attention network
Pallavi Bhanudas Salunkhe, Pravin S. Patil
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 74625-74655
Closed Access | Times Cited: 4
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: 17
Breast Cancer Classification Using Equivariance Transition in Group Convolutional Neural Networks
Zaharaddeen Sani, Rajesh Prasad, Ezzeddin Kamil Mohamed Hashim
IEEE Access (2023) Vol. 11, pp. 28454-28465
Open Access | Times Cited: 8
A novel transformer-based aggregation model for predicting gene mutations in lung adenocarcinoma
Kai Sun, Yuanjie Zheng, Xinbo Yang, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 5, pp. 1427-1440
Closed Access | Times Cited: 2
An enhanced multi-scale deep convolutional orchard capsule neural network for multi-modal breast cancer detection
Sangeeta Parshionikar, Debnath Bhattacharyya
Healthcare Analytics (2023) Vol. 5, pp. 100298-100298
Open Access | Times Cited: 5
Dual_Pachi: Attention-based dual path framework with intermediate second order-pooling for Covid-19 detection from chest X-ray images
Chiagoziem C. Ukwuoma, Zhiguang Qin, Victor Kwaku Agbesi, et al.
Computers in Biology and Medicine (2022) Vol. 151, pp. 106324-106324
Open Access | Times Cited: 9
Deep learning for breast cancer diagnosis from histopathological images: classification and gene expression: review
Oumeima Thaalbi, Moulay A. Akhloufi
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 1
Breast cancer diagnosis and management guided by data augmentation, utilizing an integrated framework of SHAP and random augmentation
Chukwuebuka Joseph Ejiyi, Zhen Qin, Happy Nkanta Monday, et al.
BioFactors (2023) Vol. 50, Iss. 1, pp. 114-134
Closed Access | Times Cited: 4
Breast Cancer Detection in Mammography using Faster Region Convolutional Neural Networks and Group Convolution
Zaharaddeen Sani, Rajesh Prasad, Ezzeddin Kamil Mohamed Hashim
IETE Journal of Research (2024) Vol. 70, Iss. 9, pp. 7379-7395
Closed Access | Times Cited: 1
Enhancing histopathological medical image classification for Early cancer diagnosis using deep learning and explainable AI – LIME & SHAP
Chiagoziem C. Ukwuoma, Dongsheng Cai, Ebere Eziefuna, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107014-107014
Closed Access | Times Cited: 1
LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images
Chiagoziem C. Ukwuoma, Zhiguang Qin, Victor Kwaku Agbesi, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106195-106195
Open Access | Times Cited: 6
A Multi-Task Convolutional Neural Network for Lesion Region Segmentation and Classification of Non-Small Cell Lung Carcinoma
Zhao Wang, Yuxin Xu, Linbo Tian, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1849-1849
Open Access | Times Cited: 4
Recent advancements of deep learning in detecting breast cancer: a survey
Anjali Gautam
Multimedia Systems (2022) Vol. 29, Iss. 3, pp. 917-943
Closed Access | Times Cited: 4
An Improved Approach for Parkinson’s Disease Classification Based on Convolutional Neural Network
Jihen Fourati, Mohamed Othmani, Hela Ltifi
Communications in computer and information science (2023), pp. 123-135
Closed Access | Times Cited: 2
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