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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:

Secure and Robust Machine Learning for Healthcare: A Survey
Adnan Qayyum, Junaid Qadir, Muhammad Bilal, et al.
IEEE Reviews in Biomedical Engineering (2020) Vol. 14, pp. 156-180
Open Access | Times Cited: 454

Showing 1-25 of 454 citing articles:

Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications
Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, et al.
IEEE Access (2020) Vol. 8, pp. 140699-140725
Open Access | Times Cited: 521
Significance of machine learning in healthcare: Features, pillars and applications
Mohd Javaid, Abid Haleem, Ravi Pratap Singh, et al.
International Journal of Intelligent Networks (2022) Vol. 3, pp. 58-73
Open Access | Times Cited: 360
Precision health data: Requirements, challenges and existing techniques for data security and privacy
Chandra Thapa, Seyit Camtepe
Computers in Biology and Medicine (2020) Vol. 129, pp. 104130-104130
Open Access | Times Cited: 227
Leveraging Data Science to Combat COVID-19: A Comprehensive Review
Siddique Latif, Muhammad Usman, Sanaullah Manzoor, et al.
IEEE Transactions on Artificial Intelligence (2020) Vol. 1, Iss. 1, pp. 85-103
Open Access | Times Cited: 226
Data collection and quality challenges in deep learning: a data-centric AI perspective
Steven Euijong Whang, Yuji Roh, Hwanjun Song, et al.
The VLDB Journal (2023) Vol. 32, Iss. 4, pp. 791-813
Closed Access | Times Cited: 226
Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
Adnan Qayyum, Kashif Ahmad, Muhammad Ahtazaz Ahsan, et al.
IEEE Open Journal of the Computer Society (2022) Vol. 3, pp. 172-184
Open Access | Times Cited: 198
Privacy-preserving artificial intelligence in healthcare: Techniques and applications
Nazish Khalid, Adnan Qayyum, Muhammad Bilal, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106848-106848
Open Access | Times Cited: 198
Machine Learning for Healthcare Wearable Devices: The Big Picture
Farida Sabry, Tamer Eltaras, Wadha Labda, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-25
Open Access | Times Cited: 175
Explainable, trustworthy, and ethical machine learning for healthcare: A survey
Khansa Rasheed, Adnan Qayyum, Mohammed Ghaly, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106043-106043
Open Access | Times Cited: 174
Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
Kashif Ahmad, Majdi Maabreh, Mohamed Ghaly, et al.
Computer Science Review (2021) Vol. 43, pp. 100452-100452
Closed Access | Times Cited: 150
A Review on the Role of Machine Learning in Enabling IoT Based Healthcare Applications
Hemantha Krishna Bharadwaj, Aayush Agarwal, Vinay Chamola, et al.
IEEE Access (2021) Vol. 9, pp. 38859-38890
Open Access | Times Cited: 147
Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects
Lennart R. Koetzier, Domenico Mastrodicasa, Timothy P. Szczykutowicz, et al.
Radiology (2023) Vol. 306, Iss. 3
Open Access | Times Cited: 146
Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey
Sahalu Balarabe Junaid, Abdullahi Abubakar Imam, Abdullateef O. Balogun, et al.
Healthcare (2022) Vol. 10, Iss. 10, pp. 1940-1940
Open Access | Times Cited: 137
PySyft: A Library for Easy Federated Learning
Alexander Ziller, Andrew Trask, Antonio Lopardo, et al.
Studies in computational intelligence (2021), pp. 111-139
Closed Access | Times Cited: 127
Unraveling the Ethical Enigma: Artificial Intelligence in Healthcare
Madhan Jeyaraman, Sangeetha Balaji, Naveen Jeyaraman, et al.
Cureus (2023)
Open Access | Times Cited: 109
Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML
Raihan Ur Rasool, Hafiz Farooq Ahmad, Wajid Rafique, et al.
Journal of Network and Computer Applications (2022) Vol. 201, pp. 103332-103332
Closed Access | Times Cited: 94
Quantum Computing for Healthcare: A Review
Raihan Ur Rasool, Hafiz Farooq Ahmad, Wajid Rafique, et al.
Future Internet (2023) Vol. 15, Iss. 3, pp. 94-94
Open Access | Times Cited: 94
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
Madhura Joshi, Ankit Pal, Malaikannan Sankarasubbu
ACM Transactions on Computing for Healthcare (2022) Vol. 3, Iss. 4, pp. 1-36
Open Access | Times Cited: 75
Adversarial attacks and defenses on AI in medical imaging informatics: A survey
Sara Kaviani, Ki Jin Han, Insoo Sohn
Expert Systems with Applications (2022) Vol. 198, pp. 116815-116815
Closed Access | Times Cited: 72
Adversarial Machine Learning Attacks against Intrusion Detection Systems: A Survey on Strategies and Defense
Afnan Alotaibi, Murad A. Rassam
Future Internet (2023) Vol. 15, Iss. 2, pp. 62-62
Open Access | Times Cited: 65
Healthcare predictive analytics using machine learning and deep learning techniques: a survey
Mohammed Badawy, Nagy Ramadan, Hesham A. Hefny
Journal of Electrical Systems and Information Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 50
PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images
Taha Muezzinoglu, Nursena Bayğın, Ilknur Tuncer, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 973-987
Closed Access | Times Cited: 48
Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, et al.
AIMS Public Health (2024) Vol. 11, Iss. 1, pp. 58-109
Open Access | Times Cited: 33
Security and Privacy of Technologies in Health Information Systems: A Systematic Literature Review
Parisasadat Shojaei, Elena Vlahu‐Gjorgievska, Yang-Wai Chow
Computers (2024) Vol. 13, Iss. 2, pp. 41-41
Open Access | Times Cited: 29
Application of Machine Learning and Deep Learning in Finite Element Analysis: A Comprehensive Review
Dipjyoti Nath, Ankit, Debanga Raj Neog, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 5, pp. 2945-2984
Closed Access | Times Cited: 24
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