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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:

An Ensemble based Machine Learning model for Diabetic Retinopathy Classification
Thippa Reddy Gadekallu, Sweta Bhattacharya, Sthanunathan Ramakrishnan, et al.
2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) (2020), pp. 1-6
Closed Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

An ensemble machine learning approach through effective feature extraction to classify fake news
Saqib Hakak, Mamoun Alazab, Suleman Khan, et al.
Future Generation Computer Systems (2020) Vol. 117, pp. 47-58
Closed Access | Times Cited: 345
Cross corpus multi-lingual speech emotion recognition using ensemble learning
Wisha Zehra, Abdul Rehman Javed, Zunera Jalil, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 4, pp. 1845-1854
Open Access | Times Cited: 112
Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier
Md. Nahiduzzaman, Md. Robiul Islam, Md. Omaer Faruq Goni, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119557-119557
Open Access | Times Cited: 74
An Effective and Novel Approach for Brain Tumor Classification Using AlexNet CNN Feature Extractor and Multiple Eminent Machine Learning Classifiers in MRIs
Alok Sarkar, Md. Maniruzzaman, Mohammad Ashik Alahe, et al.
Journal of Sensors (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 39
An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM Algorithm
Chiranji Lal Chowdhary, Mohit Mittal, P. Kumaresan, et al.
Sensors (2020) Vol. 20, Iss. 14, pp. 3903-3903
Open Access | Times Cited: 103
Machine learning towards intelligent systems: applications, challenges, and opportunities
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, et al.
Artificial Intelligence Review (2021) Vol. 54, Iss. 5, pp. 3299-3348
Closed Access | Times Cited: 99
Providing diagnosis on diabetes using cloud computing environment to the people living in rural areas of India
Dharmendra Singh Rajput, Syed Muzamil Basha, Qin Xin, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 13, Iss. 5, pp. 2829-2840
Closed Access | Times Cited: 65
Decision tree based ensemble machine learning model for the prediction of Zika virus T-cell epitopes as potential vaccine candidates
Syed Nisar Hussain Bukhari, Julian Webber, Abolfazl Mehbodniya
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 62
EDLDR: An Ensemble Deep Learning Technique for Detection and Classification of Diabetic Retinopathy
Sambit S Mondal, Nirupama Mandal, Krishna Kant Singh, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 124-124
Open Access | Times Cited: 53
A Novel Approach for Best Parameters Selection and Feature Engineering to Analyze and Detect Diabetes: Machine Learning Insights
Md Shahin Ali, Md Khairul Islam, Abhilash Arjan Das, et al.
BioMed Research International (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 26
Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework
Arun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1954-1954
Open Access | Times Cited: 23
CatBoost Ensemble Approach for Diabetes Risk Prediction at Early Stages
P. Suresh Kumar, Anisha Kumari K, Subhashree Mohapatra, et al.
(2021)
Closed Access | Times Cited: 48
Enhanced BB84 quantum cryptography protocol for secure communication in wireless body sensor networks for medical applications
V. Anusuya Devi, V. Kalaivani
Personal and Ubiquitous Computing (2021) Vol. 27, Iss. 3, pp. 875-885
Open Access | Times Cited: 46
These do not Look Like Those: An Interpretable Deep Learning Model for Image Recognition
Gurmail Singh, Kin Choong Yow
IEEE Access (2021) Vol. 9, pp. 41482-41493
Open Access | Times Cited: 45
An Interpretable Deep Learning Model for Covid-19 Detection With Chest X-Ray Images
Gurmail Singh, Kin Choong Yow
IEEE Access (2021) Vol. 9, pp. 85198-85208
Open Access | Times Cited: 45
Deep Learning Approach for Stages of Severity Classification in Diabetic Retinopathy Using Color Fundus Retinal Images
Silky Goel, Siddharth Gupta, Avnish Panwar, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-8
Open Access | Times Cited: 42
Efficient Feature Selection and ML Algorithm for Accurate Diagnostics
Vincent Omollo Nyangaresi, Nidhal Kamel Taha El-Omari, Judith Nyakanga Nyakina
Journal of Computer Science Research (2022) Vol. 4, Iss. 1, pp. 10-19
Open Access | Times Cited: 33
A Systematic Survey on Fog and IoT Driven Healthcare: Open Challenges and Research Issues
Vijaita Kashyap, Ashok Kumar, Ajay Kumar, et al.
Electronics (2022) Vol. 11, Iss. 17, pp. 2668-2668
Open Access | Times Cited: 30
Detectron2 for Lesion Detection in Diabetic Retinopathy
Farheen Chincholi, Harald Koestler
Algorithms (2023) Vol. 16, Iss. 3, pp. 147-147
Open Access | Times Cited: 16
Proximal femur fracture detection on plain radiography via feature pyramid networks
İlkay Yıldız Potter, Diana Yeritsyan, Sarah Mahar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
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
Optimal Convolutional Networks for Staging and Detecting of Diabetic Retinopathy
Minyar Sassi Hidri, Adel Hidri, Suleiman Ali Alsaif, et al.
Information (2025) Vol. 16, Iss. 3, pp. 221-221
Open Access
A Study on Performance of Ensemble Based Classifiers on Healthcare Data
Irani Hazarika, Debashis Saikia, Anjana Kakoti Mahanta
Studies in computational intelligence (2025), pp. 43-60
Closed Access
A Comparison of Two-Stage Classifier Algorithm with Ensemble Techniques On Detection of Diabetic Retinopathy
Ali Tariq Nagi, Mazhar Javed Awan, Rabia Javed, et al.
(2021), pp. 212-215
Closed Access | Times Cited: 35
Ensemble Learning by High-Dimensional Acoustic Features for Emotion Recognition from Speech Audio Signal
Mukkoti Maruthi Venkata Chalapathi, M. Rudra Kumar, Neeraj Sharma, et al.
Security and Communication Networks (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 23
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