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:

GARL-Net: Graph Based Adaptive Regularized Learning Deep Network for Breast Cancer Classification
Vivek Patel, Vijayshri Chaurasia, Rajesh Mahadeva, et al.
IEEE Access (2023) Vol. 11, pp. 9095-9112
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

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: 23

Attention-map augmentation for hypercomplex breast cancer classification
Eleonora Lopez, Filippo Betello, Federico Carmignani, et al.
Pattern Recognition Letters (2024) Vol. 182, pp. 140-146
Open Access | Times Cited: 10

A self-learning deep neural network for classification of breast histopathological images
Alaa Hussein Abdulaal, Morteza Valizadeh, Mehdi Chehel Amirani, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105418-105418
Closed Access | Times Cited: 20

A Systematic Review of Breast Cancer Detection Using Machine Learning and Deep Learning
Amit Kumar, Rashmi Saini, Rajeev Kumar
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 1128-1133
Closed Access | Times Cited: 13

Improvised grey wolf optimizer assisted artificial neural network (IGWO-ANN) predictive models to accurately predict the permeate flux of desalination plants
Rajesh Mahadeva, Mahendra Kumar, Anjali Diwan, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e34132-e34132
Open Access | Times Cited: 4

Image Classification Based on Low-Level Feature Enhancement and Attention Mechanism
Yong Zhang, Xueqin Li, Wen‐Yun Chen, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 4
Open Access | Times Cited: 4

Cross-Level Attention Feature Fusion-Based Deep Learning Process for Breast Cancer Diagnosis
Vivek Patel, Vijayshri Chaurasia, Rajesh Mahadeva, et al.
SpringerBriefs in applied sciences and technology (2025), pp. 55-62
Closed Access

Breast Cancer Classification Using Histopathological Images
Gundra Prudvi, B V A N S S Prabhakar Rao
(2025), pp. 367-375
Closed Access

Accurate Permeate Flux Prediction of the VMD Desalination Process Using GA-ANN Technique
Rajesh Mahadeva, Umesh Kumar, Abhijeet Ghosh, et al.
Advanced structured materials (2025), pp. 1-8
Closed Access

HAFMAB-Net: hierarchical adaptive fusion based on multilevel attention-enhanced bottleneck neural network for breast histopathological cancer classification
Ali H. Abdulwahhab, Oğuz Bayat, Abdullahi Abdu İbrahim
Signal Image and Video Processing (2025) Vol. 19, Iss. 5
Closed Access

Enhancing breast cancer diagnosis: transfer learning on DenseNet with neural hashing for histopathology fine-grained image classification
Fatemeh Taheri, Kambiz Rahbar
Medical & Biological Engineering & Computing (2025)
Closed Access

Optimizing breast cancer classification with EGERIA and reinforcement learning
S. Kavitha, S. Sridevi
Biomedical Signal Processing and Control (2025) Vol. 109, pp. 108014-108014
Closed Access

Transformer based multiple instance learning for WSI breast cancer classification
Chengyang Gao, Qiule Sun, Wen Zhu, et al.
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105755-105755
Closed Access | Times Cited: 8

Boosted Additive Angular Margin Loss for breast cancer diagnosis from histopathological images
Pendar Alirezazadeh, Fadi Dornaika
Computers in Biology and Medicine (2023) Vol. 166, pp. 107528-107528
Closed Access | Times Cited: 7

Efficient breast cancer diagnosis using multi‐level progressive feature aggregation based deep transfer learning system
Vivek Patel, Vijayshri Chaurasia
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 3
Closed Access | Times Cited: 2

ViT-MAENB7: An Innovative Breast Cancer Diagnosis Model from 3D Mammograms Using Advanced Segmentation and Classification Process
Thippaluru Umamaheswari, Y. Murali Mohan Babu
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108373-108373
Closed Access | Times Cited: 2

Breast Cancer Diagnosis from Histopathology Images Using Deep Learning Methods: A Survey
Vivek Patel, Vijayshri Chaurasia, Rajesh Mahadeva, et al.
E3S Web of Conferences (2023) Vol. 430, pp. 01195-01195
Open Access | Times Cited: 6

Deep Transfer Learning With Multi-Level Features Extraction Approach For Breast Cancer Classification
Rajesh Mahadeva, Shashikant P. Patole, Vivek Patel, et al.
(2023) Vol. 7, pp. 471-474
Closed Access | Times Cited: 4

Artificial Intelligence in Water Desalination: A Novel Approach for Global Sustainability
Rajesh Mahadeva, Vivek Patel, Abhijeet Ghosh, et al.
E3S Web of Conferences (2023) Vol. 430, pp. 01193-01193
Open Access | Times Cited: 4

Detection of Tuberculosis Bacilli Using Deep Learning
Manish Tiwari, Mamta Patankar, Vijayshri Chaurasia, et al.
(2023) Vol. 5, pp. 492-496
Closed Access | Times Cited: 3

Edge Detection and Color Mapping Based Diabetic Retinopathy From Fundus Images
Rajesh Mahadeva, Mohini Rathore, Vijayshri Chaurasia, et al.
(2023) Vol. 12, pp. 483-487
Closed Access | Times Cited: 3

Detection And Classification of Lung Cancer CT Images Using Mask R-CNN Based Generated Mask Method
Sucheta Bhardwaj, Ebtasam Ahmad Siddiqui, Vijayshri Chaurasia, et al.
(2023) Vol. 29, pp. 497-501
Closed Access | Times Cited: 2

Feature Extraction Based Domain Kickout Method For Fractal Image Compression
Sucheta Bhardwaj, Vijayshri Chaurasia, Ebtasam Ahmad Siddiqui, et al.
(2023), pp. 514-518
Closed Access | Times Cited: 2

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