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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:

Deep neural networks to predict diabetic retinopathy
Thippa Reddy Gadekallu, Neelu Khare, Sweta Bhattacharya, et al.
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 14, Iss. 5, pp. 5407-5420
Closed Access | Times Cited: 228

Showing 1-25 of 228 citing articles:

An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture
Swarna Priya R.M., Praveen Kumar Reddy Maddikunta, M. Parimala, et al.
Computer Communications (2020) Vol. 160, pp. 139-149
Closed Access | Times Cited: 380
Early-Stage Alzheimer's Disease Prediction Using Machine Learning Models
C. Kavitha, Vinodhini Mani, S. Srividhya, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 181
Blockchain for Edge of Things: Applications, Opportunities, and Challenges
Thippa Reddy Gadekallu, Quoc‐Viet Pham, Dinh C. Nguyen, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 2, pp. 964-988
Open Access | Times Cited: 146
Recognition of Leaf Disease Using Hybrid Convolutional Neural Network by Applying Feature Reduction
Prabhjot Kaur, Shilpi Harnal, Rajeev Tiwari, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 575-575
Open Access | Times Cited: 141
Diabetic Retinopathy Diagnosis From Fundus Images Using Stacked Generalization of Deep Models
Harshit Kaushik, Dilbag Singh, Manjit Kaur, et al.
IEEE Access (2021) Vol. 9, pp. 108276-108292
Open Access | Times Cited: 124
3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition
Shuaiqi Liu, Xu Wang, Ling Zhao, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 11, pp. 5321-5331
Closed Access | Times Cited: 112
Optimal 5G network slicing using machine learning and deep learning concepts
Mustufa Haider Abidi, Hisham Alkhalefah, Khaja Moiduddin, et al.
Computer Standards & Interfaces (2021) Vol. 76, pp. 103518-103518
Closed Access | Times Cited: 110
Deep learning-based automated detection for diabetic retinopathy and diabetic macular oedema in retinal fundus photographs
Feng Li, Yuguang Wang, Tianyi Xu, et al.
Eye (2021) Vol. 36, Iss. 7, pp. 1433-1441
Open Access | Times Cited: 106
Enhancement of Detection of Diabetic Retinopathy Using Harris Hawks Optimization with Deep Learning Model
Nagaraja Gundluru, Dharmendra Singh Rajput, Kuruva Lakshmanna, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 81
Deep learning for intelligent demand response and smart grids: A comprehensive survey
Prabadevi Boopathy, Madhusanka Liyanage, N. Deepa, et al.
Computer Science Review (2024) Vol. 51, pp. 100617-100617
Open Access | Times Cited: 19
Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction
Jyostna Devi Bodapati, N. Veeranjaneyulu, Nagur Shareef Shaik, et al.
Electronics (2020) Vol. 9, Iss. 6, pp. 914-914
Open Access | Times Cited: 133
Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey
Vasudevan Lakshminarayanan, Hoda Kheradfallah, Arya Sarkar, et al.
Journal of Imaging (2021) Vol. 7, Iss. 9, pp. 165-165
Open Access | Times Cited: 87
Vision Transformer‐based recognition of diabetic retinopathy grade
Jianfang Wu, Ruo Hu, Zhenghong Xiao, et al.
Medical Physics (2021) Vol. 48, Iss. 12, pp. 7850-7863
Closed Access | Times Cited: 83
Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset
Thippa Reddy Gadekallu, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, et al.
Multimedia Tools and Applications (2020) Vol. 81, Iss. 29, pp. 41429-41453
Closed Access | Times Cited: 81
Comparative analysis of machine learning algorithms for prediction of smart grid stability †
Ali Kashif Bashir, Suleman Khan, B. Prabadevi, et al.
International Transactions on Electrical Energy Systems (2021) Vol. 31, Iss. 9
Open Access | Times Cited: 81
Identification of malnutrition and prediction of BMI from facial images using real‐time image processing and machine learning
C. Dhanamjayulu, U N Nizhal, Praveen Kumar Reddy Maddikunta, et al.
IET Image Processing (2021) Vol. 16, Iss. 3, pp. 647-658
Open Access | Times Cited: 70
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
Predicting Parkinson’s Disease Progression: Evaluation of Ensemble Methods in Machine Learning
Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Behrouz Minaei-Bidgoli, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 61
An Augmented Artificial Intelligence Approach for Chronic Diseases Prediction
Junaid Rashid, Saba Batool, Jungeun Kim, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 59
Classification of diabetic retinopathy with feature selection over deep features using nature-inspired wrapper methods
Murat Canayaz
Applied Soft Computing (2022) Vol. 128, pp. 109462-109462
Closed Access | Times Cited: 59
An Artificial Intelligence Approach Toward Food Spoilage Detection and Analysis
Ekta Sonwani, Urvashi Bansal, Roobaea Alroobaea, et al.
Frontiers in Public Health (2022) Vol. 9
Open Access | Times Cited: 57
A Performance Comparison of Machine Learning Algorithms for Load Forecasting in Smart Grid
Thamer‎ Alquthami, M. Zulfiqar, Muhammad Kamran, et al.
IEEE Access (2022) Vol. 10, pp. 48419-48433
Open Access | Times Cited: 56
Diabetic Retinopathy Classification Using CNN and Hybrid Deep Convolutional Neural Networks
R. Yasashvini, Vergin Raja Sarobin M, Rukmani Panjanathan, et al.
Symmetry (2022) Vol. 14, Iss. 9, pp. 1932-1932
Open Access | Times Cited: 56
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: 55
Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review
Junaid Iqbal Khan, Jebran Khan, Furqan Ali, et al.
IEEE Access (2022) Vol. 10, pp. 62613-62660
Open Access | Times Cited: 54
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