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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:

The Xception model: A potential feature extractor in breast cancer histology images classification
Shallu Sharma, Sumit Kumar
ICT Express (2021) Vol. 8, Iss. 1, pp. 101-108
Open Access | Times Cited: 94

Showing 1-25 of 94 citing articles:

Classification of Breast Tumors Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods
Mohammad Reza Abbasniya, Sayed Ali Sheikholeslamzadeh, Hamid Nasiri, et al.
Computers & Electrical Engineering (2022) Vol. 103, pp. 108382-108382
Closed Access | Times Cited: 74
DeepBreastCancerNet: A Novel Deep Learning Model for Breast Cancer Detection Using Ultrasound Images
Asaf Raza, Naeem Ullah, Javed Ali Khan, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2082-2082
Open Access | Times Cited: 59
A novel fusion framework of deep bottleneck residual convolutional neural network for breast cancer classification from mammogram images
Kiran Jabeen, Muhammad Attique Khan, Mohamed Abdel Hameed, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 21
Gamma function based ensemble of CNN models for breast cancer detection in histopathology images
Samriddha Majumdar, Payel Pramanik, Ram Sarkar
Expert Systems with Applications (2022) Vol. 213, pp. 119022-119022
Closed Access | Times Cited: 68
Traditional machine learning algorithms for breast cancer image classification with optimized deep features
Furkan Atban, Ekin Ekıncı, Zeynep Garip
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104534-104534
Closed Access | Times Cited: 52
Multiclass classification of breast cancer histopathology images using multilevel features of deep convolutional neural network
Zabit Hameed, Begonya Garcia‐Zapirain, José Javier Aguirre, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 50
A review: The detection of cancer cells in histopathology based on machine vision
Wenbin He, Ting Liu, Yongjie Han, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105636-105636
Closed Access | Times Cited: 39
Improving ransomware detection based on portable executable header using xception convolutional neural network
Caio Moreira, Davi Carvalho Moreira, Claudomiro de S. de Sales
Computers & Security (2023) Vol. 130, pp. 103265-103265
Closed Access | Times Cited: 24
Cancer Detection Using Artificial Intelligence: A Paradigm in Early Diagnosis
Gayathri Bulusu, K. E. Ch. Vidyasagar, Malini Mudigonda, et al.
Archives of Computational Methods in Engineering (2025)
Open Access | Times Cited: 1
Federated and transfer learning for cancer detection based on image analysis
Amine Bechar, Rafik Medjoudj, Youssef Elmir, et al.
Neural Computing and Applications (2025)
Open Access | Times Cited: 1
Classification of Breast Cancer Histopathological Images Using DenseNet and Transfer Learning
Musa Adamu Wakili, Harisu Abdullahi Shehu, Md. Haidar Sharif, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-31
Open Access | Times Cited: 36
A hybrid lightweight breast cancer classification framework using the histopathological images
Daniel Addo, Shijie Zhou, Kwabena Sarpong, et al.
Journal of Applied Biomedicine (2023) Vol. 44, Iss. 1, pp. 31-54
Closed Access | Times Cited: 21
An Invasive Ductal Carcinomas Breast Cancer Grade Classification Using an Ensemble of Convolutional Neural Networks
Eelandula Kumaraswamy, Sumit Kumar, Manoj Sharma
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1977-1977
Open Access | Times Cited: 20
Enhancing Skin Cancer Detection and Classification in Dermoscopic Images through Concatenated MobileNetV2 and Xception Models
Roseline Oluwaseun Ogundokun, Aiman Li, Ronke Seyi Babatunde, et al.
Bioengineering (2023) Vol. 10, Iss. 8, pp. 979-979
Open Access | Times Cited: 20
Adaptive Threshold Learning in Frequency Domain for Classification of Breast Cancer Histopathological Images
Yujian Liu, Xiaozhang Liu, Yuan Qi
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-13
Open Access | Times Cited: 7
An interpretable decision-support model for breast cancer diagnosis using histopathology images
Sruthi Krishna, Su. Suganthi, Arnav Bhavsar, et al.
Journal of Pathology Informatics (2023) Vol. 14, pp. 100319-100319
Open Access | Times Cited: 15
Improved Breast Cancer Classification through Combining Transfer Learning and Attention Mechanism
Asadulla Ashurov, Samia Allaoua Chelloug, Alexey Tselykh, et al.
Life (2023) Vol. 13, Iss. 9, pp. 1945-1945
Open Access | Times Cited: 15
The power of deep learning for intelligent tumor classification systems: A review
Chandni, Monika Sachdeva, Alok Kumar Singh Kushwaha
Computers & Electrical Engineering (2023) Vol. 106, pp. 108586-108586
Closed Access | Times Cited: 14
Automatic synthesis of insects bioacoustics using machine learning: a systematic review
Henry Kyalo, Henri E. Z. Tonnang, James P. Egonyu, et al.
International Journal of Tropical Insect Science (2025)
Open Access
Image recognition technology for bituminous concrete reservoir panel cracks based on deep learning
Kai Hu, Ling Yang, Jishan Liu
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318550-e0318550
Open Access
Cosine Additive Angular Margin Loss for Breast Cancer Classification in Histopathological Images with Small AI Systems
Pendar Alirezazadeh, Fadi Dornaika, Abdelmalik Moujahid
ACM Transactions on Intelligent Systems and Technology (2025)
Closed 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
A patch-based deep learning framework with 5-B network for breast cancer multi-classification using histopathological images
Jehoiada Jackson, L. Jackson, Chiagoziem C. Ukwuoma, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110439-110439
Closed Access
AI-Assisted Breast Cancer Prediction, Classification, and Future Directions: A Narrative Review Involving Histopathological Image Datasets
Govardhan Nuneti, Rajendra Prasad, RAJAGOPAL C.K, et al.
The Open Public Health Journal (2025) Vol. 18, Iss. 1
Open Access
Deepfake Detection Using Deep Learning and Evolutionary Optimization
A Gaur, Bhawna Jain, Ajay Kushwaha, et al.
Lecture notes on data engineering and communications technologies (2025), pp. 219-230
Closed Access
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