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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:

Breast Cancer Histopathology Image Classification using AlexNet
Ankit Kumar Titoriya, Shelly Sachdeva
2021 5th International Conference on Information Systems and Computer Networks (ISCON) (2019), pp. 708-712
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

ResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides
S. Phani Praveen, Parvathaneni Naga Srinivasu, Jana Shafi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 65
Analyzing RNA-Seq Gene Expression Data Using Deep Learning Approaches for Cancer Classification
Laiqa Rukhsar, Waqas Haider Bangyal, M. Sadiq Ali Khan, et al.
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 1850-1850
Open Access | Times Cited: 51
MobileNet-SVM: A Lightweight Deep Transfer Learning Model to Diagnose BCH Scans for IoMT-Based Imaging Sensors
Roseline Oluwaseun Ogundokun, Sanjay Misra, Akinyemi Omololu Akinrotimi, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 656-656
Open Access | Times Cited: 35
Enhancing breast cancer segmentation and classification: An Ensemble Deep Convolutional Neural Network and U-net approach on ultrasound images
Md. Rakibul Islam, Md Mahbubur Rahman, Md Shahin Ali, et al.
Machine Learning with Applications (2024) Vol. 16, pp. 100555-100555
Open Access | Times Cited: 10
Ensemble Deep Learning-Based Image Classification for Breast Cancer Subtype and Invasiveness Diagnosis from Whole Slide Image Histopathology
Aadhi Aadhavan Balasubramanian, Salah Alheejawi, Akarsh Singh, et al.
Cancers (2024) Vol. 16, Iss. 12, pp. 2222-2222
Open Access | Times Cited: 6
Image‐Based Breast Cancer Histopathology Classification and Diagnosis Using Deep Learning Approaches
Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi, et al.
Applied Computational Intelligence and Soft Computing (2025) Vol. 2025, Iss. 1
Open Access
Deep Learning Transfer with AlexNet for chest X-ray COVID-19 recognition
Ernesto Cortés Pérez, Sergio Sánchez-Sánchez
IEEE Latin America Transactions (2021) Vol. 19, Iss. 6, pp. 944-951
Open Access | Times Cited: 34
Computer Assisted Diagnosis of Breast Cancer Using Histopathology Images and Convolutional Neural Networks
Chinnapapakkagari Sreenivasa Vikranth, Bodavula Jagadeesh, Kanna Rakesh, et al.
2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) (2022)
Closed Access | Times Cited: 22
Deep Learning-Based Human Body Posture Recognition and Tracking for Unmanned Aerial Vehicles
Min‐Fan Ricky Lee, Yen-Chun Chen, Cheng-Yo Tsai
Processes (2022) Vol. 10, Iss. 11, pp. 2295-2295
Open Access | Times Cited: 20
Histopathological image classification based on cross-domain deep transferred feature fusion
Pin Wang, Pufei Li, Yongming Li, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102705-102705
Closed Access | Times Cited: 19
Secure federated learning applied to medical imaging with fully homomorphic encryption
Xavier Lessage, Leandro Collier, Charles-Henry Bertrand Van Ouytsel, et al.
(2024), pp. 1-12
Closed Access | Times Cited: 2
Classification of H&E Stained Liver Histopathology Images Using Ensemble Learning Techniques for Detection of the Level of Malignancy of Hepatocellular Carcinoma (HCC)
Adesh Rukmangad, Ajinkya Deshpande, Ankush D. Jamthikar, et al.
Learning and analytics in intelligent systems (2024), pp. 89-108
Closed Access | Times Cited: 2
Renal Cancer Detection: Fusing Deep and Texture Features from Histopathology Images
Jianxiu Cai, Manting Liu, Qi Zhang, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 8
Breast Tumor Tissue Segmentation with Area-Based Annotation Using Convolutional Neural Network
Bendegúz H. Zováthi, Réka Mohácsi, Attila Marcell Szász, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2161-2161
Open Access | Times Cited: 8
Computational Intelligence Approaches for Enhancing Biomedical Image Processing Applications Based on Breast Cancer
Abdullahi Isa, Iliyas Ibrahim Iliyas, Muhammad Lefami Zarma
Biomedical engineering (2024)
Open Access | Times Cited: 1
What can machine vision do for lymphatic histopathology image analysis: a comprehensive review
Haoyuan Chen, Xiaoqi Li, Chen Li, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 1
Comparison of Deep Learning Models for Body Cavity Fluid Cytology Images Classification
Murat Uçan, Buket Kaya, Mehmet Kaya
2021 International Conference on Data Analytics for Business and Industry (ICDABI) (2022), pp. 151-155
Closed Access | Times Cited: 5
A Review on Breast Cancer Detection for Histopathology Images Using Deep Learning
Eliganti Ramalakshmi, Loshma Gunisetti, L. Sumalatha
(2023), pp. 685-688
Closed Access | Times Cited: 2
Efficient Breast Cancer Classification Using Histopathological Images and a Simple VGG
Marcelo Luis Rodrigues Filho, Omar Andrés Carmona Cortes
Revista de Informática Teórica e Aplicada (2022) Vol. 29, Iss. 1, pp. 102-114
Open Access | Times Cited: 4
On Convolutional Neural Networks and Transfer Learning for Classifying Breast Cancer on Histopathological Images Using GPU
David Costa‐da Silva, Omar Andrés Carmona Cortes
IFMBE proceedings (2022), pp. 1993-1998
Closed Access | Times Cited: 4
Breast Cancer Detection on Histopathological Data
Srimadh V Rao, Kiran Raghavendra
(2022), pp. 01-05
Closed Access | Times Cited: 4
Increasing the diversity of ensemble members for accurate brain tumor classification
Gergő Bogacsovics, Balázs Harangi, András Hajdú
(2023), pp. 529-534
Closed Access | Times Cited: 2
Breast Cancer Classification Using Machine and Deep Learning
Dhruv Kolhatkar, Geervani Reddy, Tanvi Raut, et al.
(2023) Vol. 3, pp. 1-6
Closed Access | Times Cited: 2
Optimized Deep Neural Model for Cancer Detection and Classification Over ResNet
Pavan Nageswar Reddy Bodavarapu, P V V S Srinivas, Pragnyaban Mishra, et al.
Lecture notes in networks and systems (2021), pp. 267-280
Closed Access | Times Cited: 5
DEEP LEARNING BASED MALAYSIAN COINS RECOGNITION FOR VISUAL IMPAIRED PERSON
Nur Anis Jasmin Sufri, Lina Suhaili Rosidi, Muhammad Amir As’ari
ASEAN Engineering Journal (2022) Vol. 12, Iss. 2, pp. 119-126
Open Access | Times Cited: 3
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