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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:

Classification of diabetic retinopathy based on improved deep forest model
Xiwen Qin, Dongxue Chen, Yichang Zhan, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104020-104020
Closed Access | Times Cited: 16

Showing 16 citing articles:

Transfer Learning for Diabetic Retinopathy Detection: A Study of Dataset Combination and Model Performance
A. M. Mutawa, Shahad Alnajdi, Sai Sruthi
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5685-5685
Open Access | Times Cited: 19
Deep forest model in medicine: A visual analysis based on literature data
Xiangxiang Mei, Hao Shen, Haifei Zhang, et al.
Journal of Computational Methods in Sciences and Engineering (2025)
Open Access
Localization and grading of NPDR lesions using ResNet-18-YOLOv8 model and informative features selection for DR classification based on transfer learning
Javeria Amin, Irum Shazadi, Muhammad Sharif, et al.
Heliyon (2024) Vol. 10, Iss. 10, pp. e30954-e30954
Open Access | Times Cited: 4
APDF: An active preference-based deep forest expert system for overall survival prediction in gastric cancer
Qiucen Li, Yuheng Wang, Zedong Du, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123131-123131
Closed Access | Times Cited: 2
Detection algorithm for diabetic retinopathy based on ResNet and transfer learning
Wei‐Hua Wang, Li Lei
(2024), pp. 38-38
Closed Access | Times Cited: 1
Retina images classification based on 2D empirical mode decomposition and multifractal analysis
Lei Yang, Minxuan Zhang, Jing Cheng, et al.
Heliyon (2024) Vol. 10, Iss. 6, pp. e27391-e27391
Open Access | Times Cited: 1
Diabetic Retinopathy Classification using Vision Transformer
A. M. Mutawa, Sai Sruthi
(2022)
Closed Access | Times Cited: 5
A Hybrid Metaheuristic Algorithm Using Elitist Chemical Reaction Optimization and Learning from Knowledge Assimilation for Improving Rule-based Classification Models
Ramandeep Saha, Somnath Pal
Procedia Computer Science (2024) Vol. 235, pp. 701-712
Open Access
Classification of diabetic retinopathy algorithm based on a novel dual-path multi-module model
L. Zhang, Jialin Gang, Jiangbo Liu, et al.
Medical & Biological Engineering & Computing (2024)
Closed Access
Adaptive feature selection for active trachoma image classification
Mulugeta Shitie Zewudie, Shengwu Xiong, Xiaohan Yu, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111764-111764
Open Access
Exploring machine learning techniques for feature extraction and classification of diabetes related medical data: A comprehensive review
Kavita Singh, S. Dash
Elsevier eBooks (2024), pp. 153-175
Closed Access
RetMobileNet: A New Deep Learning Approach for Multi-Class Eye Disease Identification
Anjar Wanto, Yuhandri Yunus, Okfalisa Okfalisa
Revue d intelligence artificielle (2024) Vol. 38, Iss. 4
Open Access
Automated Analysis Of Diabetic Vasculopathy Using Semantic Segmentation Of Thermal Images Of Peroneal Vessel
Gayatri Shirish Joshi, Punal M. Arabi
Data & Metadata (2024) Vol. 3
Closed Access
Application of Artificial Intelligence for Classification, Segmentation, Early Detection, Early Diagnosis, and Grading of Diabetic Retinopathy from Fundus Retinal Images: A Comprehensive Review
G.Kalaimathi Priya S.Rajarajeshwari, G. Chemmalar Selvi
IEEE Access (2024) Vol. 12, pp. 172499-172536
Open Access
STMF-DRNet: A multi-branch fine-grained classification model for diabetic retinopathy using Swin-TransformerV2
Yuanyuan Liu, Dazhi Yao, Yongwen Ma, et al.
Biomedical Signal Processing and Control (2024) Vol. 103, pp. 107352-107352
Open Access
Convolutional Neural Networks for Diabetic Retinopathy Grading from iPhone Fundus Images
Samuel Lozano-Juárez, Nuria Velasco-Pérez, Ian Roberts, et al.
Lecture notes in computer science (2023), pp. 685-697
Closed Access
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