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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:

Applications of Machine Learning Predictive Models in the Chronic Disease Diagnosis
Gopi Battineni, Getu Gamo Sagaro, Nalini Chinatalapudi, et al.
Journal of Personalized Medicine (2020) Vol. 10, Iss. 2, pp. 21-21
Open Access | Times Cited: 280

Showing 1-25 of 280 citing articles:

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Yogesh Kumar, Apeksha Koul, Ruchi Singla, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 8459-8486
Open Access | Times Cited: 606
Generative adversarial network: An overview of theory and applications
Alankrita Aggarwal, Mamta Mittal, Gopi Battineni
International Journal of Information Management Data Insights (2021) Vol. 1, Iss. 1, pp. 100004-100004
Open Access | Times Cited: 519
The Role of Machine Learning Algorithms for Diagnosing Diseases
Ibrahim Ibrahim, Adnan Mohsin Abdulazeez
Journal of Applied Science and Technology Trends (2021) Vol. 2, Iss. 01, pp. 10-19
Open Access | Times Cited: 214
Trends in Using IoT with Machine Learning in Health Prediction System
Amani Aldahiri, Bashair Ali Alrashed, Walayat Hussain
Forecasting (2021) Vol. 3, Iss. 1, pp. 181-206
Open Access | Times Cited: 132
Accuracy of online symptom checkers and the potential impact on service utilisation
Adam Ceney, Stephanie Tolond, Andrzej Glowinski, et al.
PLoS ONE (2021) Vol. 16, Iss. 7, pp. e0254088-e0254088
Open Access | Times Cited: 106
Using artificial intelligence to improve public health: a narrative review
David B. Olawade, Ojima J. Wada, Aanuoluwapo Clement David-Olawade, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 89
Identification and Prediction of Chronic Diseases Using Machine Learning Approach
Alanazi Rayan
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 81
MobileNetV1-Based Deep Learning Model for Accurate Brain Tumor Classification
Maad M. Mijwil, Ruchi Doshi, Kamal Kant Hiran, et al.
Mesopotamian Journal of Computer Science (2023), pp. 32-41
Open Access | Times Cited: 58
A scoping review of fair machine learning techniques when using real-world data
Yu Huang, Jingchuan Guo, Wei‐Han Chen, et al.
Journal of Biomedical Informatics (2024) Vol. 151, pp. 104622-104622
Open Access | Times Cited: 15
Text mining with sentiment analysis on seafarers’ medical documents
Nalini Chintalapudi, Gopi Battineni, Marzio Di Canio, et al.
International Journal of Information Management Data Insights (2020) Vol. 1, Iss. 1, pp. 100005-100005
Open Access | Times Cited: 98
A Comprehensive Machine-Learning Model Applied to Magnetic Resonance Imaging (MRI) to Predict Alzheimer’s Disease (AD) in Older Subjects
Gopi Battineni, Nalini Chintalapudi, Francesco Amenta, et al.
Journal of Clinical Medicine (2020) Vol. 9, Iss. 7, pp. 2146-2146
Open Access | Times Cited: 75
Detection of child depression using machine learning methods
Umme Marzia Haque, Enamul Kabir, Rasheda Khanam
PLoS ONE (2021) Vol. 16, Iss. 12, pp. e0261131-e0261131
Open Access | Times Cited: 65
Machine learning methods applied to triage in emergency services: A systematic review
Rocío Sánchez-Salmerón, José Luis Gómez‐Urquiza, Luis Albendín‐García, et al.
International Emergency Nursing (2021) Vol. 60, pp. 101109-101109
Closed Access | Times Cited: 63
State-of-the-art machine learning techniques for melanoma skin cancer detection and classification: a comprehensive review
Harsh Bhatt, Vrunda Shah, Krish Shah, et al.
Intelligent Medicine (2022) Vol. 3, Iss. 3, pp. 180-190
Open Access | Times Cited: 57
Using Recurrent Neural Networks for Predicting Type-2 Diabetes from Genomic and Tabular Data
Parvathaneni Naga Srinivasu, Jana Shafi, T. Balamurali Krishna, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3067-3067
Open Access | Times Cited: 56
Predicting Breast Cancer Based on Optimized Deep Learning Approach
Hager Saleh, Sara F. Abd-el Ghany, Hashem Alyami, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 43
Interdisciplinary research unlocking innovative solutions in healthcare
Dominique Lepore, Koustabh Dolui, Oleksandr Tomashchuk, et al.
Technovation (2022) Vol. 120, pp. 102511-102511
Open Access | Times Cited: 41
Hybrid model for precise hepatitis-C classification using improved random forest and SVM method
Umesh Kumar Lilhore, Poongodi Manoharan, Jasminder Kaur Sandhu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 38
An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture
Danuta Cembrowska-Lech, Adrianna Krzemińska, Tymoteusz Miller, et al.
Biology (2023) Vol. 12, Iss. 10, pp. 1298-1298
Open Access | Times Cited: 29
Deep Belief Networks (DBN) with IoT-Based Alzheimer’s Disease Detection and Classification
Nayef Alqahtani, Shadab Alam, Ibrahim Aqeel, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7833-7833
Open Access | Times Cited: 24
VGG16 Feature Extractor with Extreme Gradient Boost Classifier for Pancreas Cancer Prediction
Wilson Bakasa, Serestina Viriri
Journal of Imaging (2023) Vol. 9, Iss. 7, pp. 138-138
Open Access | Times Cited: 24
DaSAM: Disease and Spatial Attention Module-Based Explainable Model for Brain Tumor Detection
Sara Tehsin, Inzamam Mashood Nasir, Robertas Damaševičius, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 9, pp. 97-97
Open Access | Times Cited: 13
Bioinformatics Applications in Chronic Diseases: A Comprehensive Review of Genomic, Transcriptomics, Proteomic, Metabolomics, and Machine Learning Approaches
Taiwo Temitope Ogunjobi, Precious Nkeiruka Ohaeri, Olamide Tayo Akintola, et al.
Deleted Journal (2024)
Open Access | Times Cited: 8
From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care
Masaru Tanaka
Biomedicines (2025) Vol. 13, Iss. 1, pp. 167-167
Open Access | Times Cited: 1
An Exploratory Review of Machine Learning and Deep Learning Applications in Healthcare Management
Narasimha Rao Vajjhala, Philip Eappen
Springer proceedings in mathematics & statistics (2025), pp. 315-324
Closed Access | Times Cited: 1
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