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:

A Deep Learning Approach for Classification and Prediction of Cirrhosis Liver: Non Alcoholic Fatty Liver Disease (NAFLD)
K. Prakash, S. Saradha
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2022), pp. 1277-1284
Closed Access | Times Cited: 15

Showing 15 citing articles:

AI-Enhanced Comprehensive Liver Tumor Prediction using Convolutional Autoencoder and Genomic Signatures
G. Prabaharan, D. Dhinakaran, Preethi Raghavan, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 2
Open Access | Times Cited: 7

Identification of Severity in Non-Alcoholic Fatty Liver Disease Using Machine Learning Algorithms
Koteswara Rao Makkena, Karthika Natarajan
Algorithms for intelligent systems (2025), pp. 179-197
Closed Access

Effective Artificial Intelligence Based Diabetic Retinopathy Prediction Model Using Ensemble and Federated Learning Technique
G. Meenakshi, Meenambiga Setti Sudharsan, K. Prakash
Lecture notes in networks and systems (2025), pp. 419-430
Closed Access

A deep learning approach for liver cancer detection in CT scans
Usman Hameed, Mujeeb Ur Rehman, Amjad Rehman, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 7
Closed Access | Times Cited: 8

LivMarX: An Optimized Low-Cost Predictive Model Using Biomarkers for Interpretable Liver Cirrhosis Stage Classification
Sudiksha Kottachery Kamath, Sanjeev Kushal Pendekanti, Divya Rao
IEEE Access (2024) Vol. 12, pp. 92506-92522
Open Access | Times Cited: 1

Prediction and Detection of Liver Diseases using Machine Learning
Rupali Umbare, Omkar Ashtekar, Aishwarya Nikhal, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4

An Recognition of Alzheimer Disease using Brain MRI Images with DPNMM through Adaptive Model
M. Sudharsan, G. Thailambal
2022 International Conference on Edge Computing and Applications (ICECAA) (2022), pp. 952-959
Closed Access | Times Cited: 6

An Efficient Liver Disease Prediction based on Deep Convolutional Neural Network using Biopsy Images
S. Bharathi, A. Balaji, Dolly Irene. J, et al.
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) (2022), pp. 1141-1147
Closed Access | Times Cited: 4

Predictive Modeling for Cirrhosis Diagnosis: A Machine Learning Exploration
S. Tejesh Kumar, B Natarajan, Pavankumar Murali, et al.
(2024), pp. 1-6
Closed Access

Liver Cirrhosis Prediction Using Machine Learning Classification Techniques
E. Thirumagal, B. L. Ananya, V. Nikhitha, et al.
Lecture notes in networks and systems (2024), pp. 45-57
Closed Access

A Deep Learning Method Enables Quantitative and Automatic Measurement of Rat Liver Histology in NAFLD
Yuqiu Fu, Deyue Zang, Baiyou Lin, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 4
Closed Access

Machine Learning Applications in Early Detection of Hepatic Steatosis Disease
Vishal Rajendrabhai Patel, Payal Dhanesha, Parthi Dharmeshkumar Soni
(2024), pp. 334-338
Closed Access

An Effective Analysis of the Machine Learning Algorithms for the Early Diagnosis of Liver Failure
R. Geetha, G. Umarani Srikanth, S. Gunanandhini, et al.
DESIGN CONSTRUCTION MAINTENANCE (2024) Vol. 4, pp. 59-69
Open Access

Liver Cancer Segmentation through Enhanced Feature Extraction and Mapping using Improved Transfer Learning Techniques
N.A. Sheela Selvakumari C. Clement Sherlin
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 11, pp. 38-43
Open Access | Times Cited: 1

Federated-Learning-based Hierarchical Diagnosis of Liver Fibrosis
Yueying Zhou, Xinping Ren, Xiaoying Zheng, et al.
(2022)
Closed Access | Times Cited: 1

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