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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:

Artificial neural networks in medical diagnosis
Filippo Amato, Alberto Botana López, Eladia María Peña‐Méndez, et al.
Journal of Applied Biomedicine (2013) Vol. 11, Iss. 2, pp. 47-58
Open Access | Times Cited: 860

Showing 1-25 of 860 citing articles:

All-optical spiking neurosynaptic networks with self-learning capabilities
Johannes Feldmann, Nathan Youngblood, C. David Wright, et al.
Nature (2019) Vol. 569, Iss. 7755, pp. 208-214
Open Access | Times Cited: 1190
On big data, artificial intelligence and smart cities
Zaheer Allam, Zaynah A. Dhunny
Cities (2019) Vol. 89, pp. 80-91
Closed Access | Times Cited: 885
eDoctor: machine learning and the future of medicine
Guy Handelman, Hong Kuan Kok, Ronil V. Chandra, et al.
Journal of Internal Medicine (2018) Vol. 284, Iss. 6, pp. 603-619
Open Access | Times Cited: 637
Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges
DonHee Lee, Seong No Yoon
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 1, pp. 271-271
Open Access | Times Cited: 629
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
Henggang Cui, Vladan Radosavljević, Fang‐Chieh Chou, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 2090-2096
Open Access | Times Cited: 573
An abstract domain for certifying neural networks
Gagandeep Singh, Timon Gehr, Markus Püschel, et al.
Proceedings of the ACM on Programming Languages (2019) Vol. 3, Iss. POPL, pp. 1-30
Open Access | Times Cited: 537
Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges
Hadi Banaee, Mobyen Uddin Ahmed, Amy Loutfi
Sensors (2013) Vol. 13, Iss. 12, pp. 17472-17500
Open Access | Times Cited: 421
Artificial intelligence-enabled healthcare delivery
Sandeep Reddy, John Fox, Maulik Purohit
Journal of the Royal Society of Medicine (2018) Vol. 112, Iss. 1, pp. 22-28
Open Access | Times Cited: 380
The rise of intelligent matter
Corinna Kaspar, Bart Jan Ravoo, Wilfred G. van der Wiel, et al.
Nature (2021) Vol. 594, Iss. 7863, pp. 345-355
Open Access | Times Cited: 353
Edge Machine Learning for AI-Enabled IoT Devices: A Review
Massimo Merenda, Carlo Porcaro, Demetrio Iero
Sensors (2020) Vol. 20, Iss. 9, pp. 2533-2533
Open Access | Times Cited: 341
Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review
Nisreen I. R. Yassin, Shaimaa Omran, Enas M. F. El Houby, et al.
Computer Methods and Programs in Biomedicine (2017) Vol. 156, pp. 25-45
Closed Access | Times Cited: 333
Breath Analysis as a Potential and Non-Invasive Frontier in Disease Diagnosis: An Overview
Jorge A. M. Pereira, Priscilla Porto-Figueira, Carina Cavaco, et al.
Metabolites (2015) Vol. 5, Iss. 1, pp. 3-55
Open Access | Times Cited: 272
Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review
Jiayi Shen, Casper J. P. Zhang, Bangsheng Jiang, et al.
JMIR Medical Informatics (2019) Vol. 7, Iss. 3, pp. e10010-e10010
Open Access | Times Cited: 265
Handling limited datasets with neural networks in medical applications: A small-data approach
Torgyn Shaikhina, N. A. Khovanova
Artificial Intelligence in Medicine (2017) Vol. 75, pp. 51-63
Open Access | Times Cited: 251
Predicting factors for survival of breast cancer patients using machine learning techniques
Mogana Darshini Ganggayah, Nur Aishah Mohd Taib, Yip Cheng Har, et al.
BMC Medical Informatics and Decision Making (2019) Vol. 19, Iss. 1
Open Access | Times Cited: 246
Deep learning approach for diabetes prediction using PIMA Indian dataset
Huma Naz, Sachin Ahuja
Journal of Diabetes & Metabolic Disorders (2020) Vol. 19, Iss. 1, pp. 391-403
Open Access | Times Cited: 246
A Decade Survey of Content Based Image Retrieval Using Deep Learning
Shiv Ram Dubey
IEEE Transactions on Circuits and Systems for Video Technology (2021) Vol. 32, Iss. 5, pp. 2687-2704
Open Access | Times Cited: 229
Ethical Dimensions of Using Artificial Intelligence in Health Care
Michael J. Rigby
The AMA Journal of Ethic (2019) Vol. 21, Iss. 2, pp. E121-124
Open Access | Times Cited: 215
Current breathomics—a review on data pre-processing techniques and machine learning in metabolomics breath analysis
Agnieszka Smolinska, Anne-Christin Hauschild, Rianne Fijten, et al.
Journal of Breath Research (2014) Vol. 8, Iss. 2, pp. 027105-027105
Closed Access | Times Cited: 196
Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 158
Recent Advancements in Fruit Detection and Classification Using Deep Learning Techniques
Chiagoziem C. Ukwuoma, Qin Zhi-guang, Md Belal Bin Heyat, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-29
Open Access | Times Cited: 110
Brain Tumor Detection and Classification by MRI Using Biologically Inspired Orthogonal Wavelet Transform and Deep Learning Techniques
Muhammad Arif, F. Ajesh, Shermin Shamsudheen, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 102
The role of artificial neural network and machine learning in utilizing spatial information
Akash Goel, Amit Kumar Goel, Adesh Kumar
Spatial Information Research (2022) Vol. 31, Iss. 3, pp. 275-285
Open Access | Times Cited: 102
Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward
Eyad Elyan, Pattaramon Vuttipittayamongkol, Pamela Johnston, et al.
Artificial Intelligence Surgery (2022)
Open Access | Times Cited: 88
Addressing Binary Classification over Class Imbalanced Clinical Datasets Using Computationally Intelligent Techniques
Vinod Kumar, Gotam Singh Lalotra, P. Sasikala, et al.
Healthcare (2022) Vol. 10, Iss. 7, pp. 1293-1293
Open Access | Times Cited: 81
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