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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:

Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images
Kiran Kumar Patro, Allam Jaya Prakash, Bala Chakravarthy Neelapu, et al.
Information Sciences (2023) Vol. 640, pp. 119005-119005
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Hybrid convolutional neural network and Flexible Dwarf Mongoose Optimization Algorithm for strong kidney stone diagnosis
Haozhi Liu, Noradin Ghadimi
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106024-106024
Closed Access | Times Cited: 46
FE-RNN: A fuzzy embedded recurrent neural network for improving interpretability of underlying neural network
James Chee Min Tan, Qi Cao, Chai Quek
Information Sciences (2024) Vol. 663, pp. 120276-120276
Open Access | Times Cited: 7
Improving YOLOv6 using advanced PSO optimizer for weight selection in lung cancer detection and classification
Lavika Goel, Pankaj Patel
Multimedia Tools and Applications (2024) Vol. 83, Iss. 32, pp. 78059-78092
Closed Access | Times Cited: 6
A Novel Reciprocal Domain Adaptation Neural Network for Enhanced Diagnosis of Chronic Kidney Disease
Saeed Iqbal, Adnan N. Qureshi, Musaed Alhussein, et al.
Expert Systems (2025) Vol. 42, Iss. 2
Closed Access
An Implementation of Adaptive Multi‐CNN Feature Fusion Model With Attention Mechanism With Improved Heuristic Algorithm for Kidney Stone Detection
Gunasekaran Kulandaivelu, M. R. Suchitra, R. Pugalenthi, et al.
Computational Intelligence (2025) Vol. 41, Iss. 1
Closed Access
From data to diagnosis: evaluation of machine learning models in predicting kidney stones
Orlando Iparraguirre-Villanueva, George Paucar-Palomino, Cleoge Paulino-Moreno
Neural Computing and Applications (2025)
Closed Access
Kidney Stone Detection via Axial CT Imaging: A Dataset for AI and Deep Learning Applications
Peshraw Ahmed Abdalla, Muhammad Y. Shakor, Aso Khaleel Ameen, et al.
Data in Brief (2025), pp. 111446-111446
Open Access
An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques
Kiran Kumar Patro, Allam Jaya Prakash, Umamaheswararao Sanapala, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 13
An Efficient and Robust Approach Using Inductive Transfer-Based Ensemble Deep Neural Networks for Kidney Stone Detection
Jyotismita Chaki, Ayşegül Uçar
IEEE Access (2024) Vol. 12, pp. 32894-32910
Open Access | Times Cited: 3
Digital twin of renal system with CT-radiography for the early diagnosis of chronic kidney diseases
N. Sasikaladevi, A. Revathi
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105632-105632
Closed Access | Times Cited: 8
CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosis
Jia Fu, Mengjie Fang, Zhiyong Lin, et al.
Visual Computing for Industry Biomedicine and Art (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
End‐to‐end light‐weighted deep‐learning model for abnormality classification in kidney CT images
V. Karthikeyan, MGopi Kishore, S. Sajin
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 1
Closed Access | Times Cited: 2
A novel approach for automated diagnosis of kidney stones from CT images using optimized InceptionV4 based on combined dwarf mongoose optimizer
Zhang Li, Jian Zhang, Gao Wen-lian, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106356-106356
Closed Access | Times Cited: 2
Artificial Intelligence-Based Classification of CT Images Using a Hybrid SpinalZFNet
Faiqa Maqsood, Zhenfei Wang, Muhammad Mumtaz Ali, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 4, pp. 907-925
Open Access | Times Cited: 2
Exploring the Effect of Image Enhancement Techniques with Deep Neural Networks on Direct Urinary System X‐Ray (DUSX) Images for Automated Kidney Stone Detection
Uğur Kılıç, Işıl Karabey Aksakalli, Gülşah Tümüklü Özyer, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 5
Kidney Stone Detection Using CNN
Mangala Shetty, Spoorthi B. Shetty, Glenisha Preemal Sequeria, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation
Víctor Manuel Vargas, Antonio Manuel Durán-Rosal, David Guijo-Rubio, et al.
Information Sciences (2023) Vol. 648, pp. 119606-119606
Closed Access | Times Cited: 3
Design of high performance and energy efficient convolution array for convolution neural network-based image inference engine
S. Deepika, V. Arunachalam
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106953-106953
Closed Access | Times Cited: 2
Prediction of Postoperative Visual Acuity in Rhegmatogenous Retinal Detachment Using OCT Images
Sinda Hosni, Hajer Khachnaoui, Hsouna Mehdi Zgolli, et al.
IEEE Access (2023) Vol. 11, pp. 135435-135448
Open Access | Times Cited: 2
Integrating confidence calibration and adversarial robustness via adversarial calibration entropy
Yong Chen, Peng Hu, Zhong Yuan, et al.
Information Sciences (2024) Vol. 668, pp. 120532-120532
Closed Access
Dual-Stage Uncertainty Modeling for Unsupervised Cross-Domain 3D Model Retrieval
Wenhui Li, Houran Zhou, Chenyu Zhang, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 8996-9007
Closed Access
Performance Elevation Using Augmented Pivot Point Rotation for Kidney Stone Detection
G. Santoshi, Ratnakar Dash
Communications in computer and information science (2024), pp. 199-211
Closed Access
A Comparative Study of Feature Selection Methods for ML-Based Kidney Stone Prediction
Suman MH, Kailash C. Patidar
(2024), pp. 568-574
Closed Access
Quantum Deep Learning for Automatic Chronic Kidney Disease Identification and Classification with CT images
Sajid Hussain, Songhua Xu, Muhammad Aslam, et al.
Research Square (Research Square) (2024)
Open Access
A Review on Kidney Stone Detection using ML and DL Techniques
Sheshang Degadwala, Varsha Rathva
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024) Vol. 10, Iss. 5, pp. 101-112
Open Access
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