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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:

Machine Learning for Health Informatics
Andreas Holzinger
Lecture notes in computer science (2016), pp. 1-24
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Deep learning in drug discovery: opportunities, challenges and future prospects
Antonio Lavecchia
Drug Discovery Today (2019) Vol. 24, Iss. 10, pp. 2017-2032
Closed Access | Times Cited: 290
Human-in-the-loop machine learning: Reconceptualizing the role of the user in interactive approaches
Oihane Gómez–Carmona, Diego Casado–Mansilla, Diego López–de–Ipiña, et al.
Internet of Things (2024) Vol. 25, pp. 101048-101048
Open Access | Times Cited: 13
Health Recommendation System using Deep Learning-based Collaborative Filtering
P. Chinnasamy, Wing‐Keung Wong, A. Ambeth Raja, et al.
Heliyon (2023) Vol. 9, Iss. 12, pp. e22844-e22844
Open Access | Times Cited: 19
Introduction to MAchine Learning & Knowledge Extraction (MAKE)
Andreas Holzinger
Machine Learning and Knowledge Extraction (2017) Vol. 1, Iss. 1, pp. 1-20
Open Access | Times Cited: 54
Machine learning predictive system based upon radiodensitometric distributions from mid-thigh CT images
Marco Recenti, Carlo Ricciardi, Kyle J. Edmunds, et al.
European Journal of Translational Myology (2020) Vol. 30, Iss. 1, pp. 121-124
Open Access | Times Cited: 40
FeARH: Federated machine learning with anonymous random hybridization on electronic medical records
Jianfei Cui, He Zhu, Hao Deng, et al.
Journal of Biomedical Informatics (2021) Vol. 117, pp. 103735-103735
Open Access | Times Cited: 33
Enhancing Solar Forecasting Accuracy with Sequential Deep Artificial Neural Network and Hybrid Random Forest and Gradient Boosting Models across Varied Terrains
Muhammad Farhan Hanif, Muhammad Umar Siddique, Jicang Si, et al.
Advanced Theory and Simulations (2024) Vol. 7, Iss. 7
Closed Access | Times Cited: 5
Deep learning for health informatics: Recent trends and future directions
Siddharth Srivastava, Sumit Soman, Astha Rai, et al.
(2017) Vol. 22, pp. 1665-1670
Closed Access | Times Cited: 45
Analytic Considerations for Repeated Measures of eGFR in Cohort Studies of CKD
Haochang Shou, Jesse Y. Hsu, Dawei Xie, et al.
Clinical Journal of the American Society of Nephrology (2017) Vol. 12, Iss. 8, pp. 1357-1365
Open Access | Times Cited: 44
Mining health knowledge graph for health risk prediction
Xiaohui Tao, Thuan Pham, Ji Zhang, et al.
World Wide Web (2020) Vol. 23, Iss. 4, pp. 2341-2362
Closed Access | Times Cited: 38
Identification of Long Bone Fractures in Radiology Reports Using Natural Language Processing to support Healthcare Quality Improvement
Aaron J. Masino, T. Charles Casper, Jonathan Dean, et al.
Applied Clinical Informatics (2016) Vol. 07, Iss. 04, pp. 1051-1068
Open Access | Times Cited: 38
Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review
Wael Abdelkader, Tamara Navarro, Rick Parrish, et al.
JMIR Medical Informatics (2021) Vol. 9, Iss. 9, pp. e30401-e30401
Open Access | Times Cited: 25
Computer Based Diagnosis of Some Chronic Diseases: A Medical Journey of the Last Two Decades
Samir Malakar, Soumya Roy, Soham Das, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 5525-5567
Open Access | Times Cited: 15
Review on Machine Learning Techniques for Medical Data Classification and Disease Diagnosis
Swapna Saturi
Regenerative Engineering and Translational Medicine (2022) Vol. 9, Iss. 2, pp. 141-164
Closed Access | Times Cited: 12
A Supervised Learning Identification System for Prognosis of Breast Cancer
Vandana Rawat, Kamal Gulati, Upinder Kaur, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 10
Cimind: A phonetic-based tool for multilingual named entity recognition in biomedical texts
C. Cabot, Stéfan Darmoni, Lina F. Soualmia
Journal of Biomedical Informatics (2019) Vol. 94, pp. 103176-103176
Open Access | Times Cited: 15
Machine Learning Algorithms Predict Body Mass Index Using Nonlinear Trimodal Regression Analysis from Computed Tomography Scans
Marco Recenti, Carlo Ricciardi, Magnús Kjartan Gíslason, et al.
IFMBE proceedings (2019), pp. 839-846
Closed Access | Times Cited: 12
A Design of Disease Diagnosis based Smart Healthcare Model using Deep Learning Technique
Pavan Kumar Illa, R Mahaveerakannan, K. Praveen Kumar, et al.
2022 International Conference on Electronics and Renewable Systems (ICEARS) (2022), pp. 1444-1449
Closed Access | Times Cited: 7
A Review of Machine Learning for Healthcare Informatics Specifically Tuberculosis Disease Diagnostics
Priyanka Karmani, Aftab Ahmed Chandio, Imtiaz Ali Korejo, et al.
Communications in computer and information science (2019), pp. 50-61
Closed Access | Times Cited: 10
Identifying Diseases and Diagnosis Using Machine Learning
K. Kalaiselvi, D. Karthika
Learning and analytics in intelligent systems (2020), pp. 391-415
Open Access | Times Cited: 9
Automatically Generating Scenarios from a Text Corpus: A Case Study on Electric Vehicles
Christopher W. H. Davis, Antonie Jetter, Philippe J. Giabbanelli
Sustainability (2022) Vol. 14, Iss. 13, pp. 7938-7938
Open Access | Times Cited: 6
Analysing the Implementation of Machine Learning in Healthcare
Kushal Rashmikant Dalal
2020 International Conference on Electronics and Sustainable Communication Systems (ICESC) (2020), pp. 133-137
Closed Access | Times Cited: 8
Predicting body mass index and isometric leg strength using soft tissue distributions from computed tomography scans
Marco Recenti, Carlo Ricciardi, Anaïs Monet, et al.
Health and Technology (2020) Vol. 11, Iss. 1, pp. 239-249
Closed Access | Times Cited: 7
Greg, ML – Machine Learning for Healthcare at a Scale
Paola Lapadula, Giansalvatore Mecca, Donatello Santoro, et al.
Health and Technology (2020) Vol. 10, Iss. 6, pp. 1485-1495
Open Access | Times Cited: 6
Grammars for Discrete Dynamics
Vincenzo Manca
Lecture notes in computer science (2016), pp. 37-58
Closed Access | Times Cited: 4
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