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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:

Addressing bias in big data and AI for health care: A call for open science
Natalia Norori, Qiyang Hu, Florence M. Aellen, et al.
Patterns (2021) Vol. 2, Iss. 10, pp. 100347-100347
Open Access | Times Cited: 376

Showing 1-25 of 376 citing articles:

From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing
Ismail Dergaa, Karim Chamari, Piotr Żmijewski, et al.
Biology of Sport (2023) Vol. 40, Iss. 2, pp. 615-622
Closed Access | Times Cited: 391
Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design
Lalitkumar K. Vora, Amol D. Gholap, Keshava Jetha, et al.
Pharmaceutics (2023) Vol. 15, Iss. 7, pp. 1916-1916
Open Access | Times Cited: 376
The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT
Krzysztof Wach, Cong Doanh Duong, Joanna Ejdys, et al.
Entrepreneurial Business and Economics Review (2023) Vol. 11, Iss. 2, pp. 7-30
Open Access | Times Cited: 234
Bias in artificial intelligence algorithms and recommendations for mitigation
Lama Nazer, Razan Zatarah, Shai Waldrip, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 6, pp. e0000278-e0000278
Open Access | Times Cited: 204
Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, applications, challenges and future research directions
Adib Habbal, Mohamed Khalif Ali, Mustafa Ali Abuzaraida
Expert Systems with Applications (2023) Vol. 240, pp. 122442-122442
Closed Access | Times Cited: 132
Harnessing the power of synthetic data in healthcare: innovation, application, and privacy
Mauro Giuffré, Dennis Shung
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 120
Large language models in health care: Development, applications, and challenges
Rui Yang, Ting Fang Tan, Wei Lu, et al.
Health care science (2023) Vol. 2, Iss. 4, pp. 255-263
Open Access | Times Cited: 116
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks
Sajid Nazir, Diane M. Dickson, Muhammad Usman Akram
Computers in Biology and Medicine (2023) Vol. 156, pp. 106668-106668
Open Access | Times Cited: 111
Deep Learning and Artificial Intelligence in Sustainability: A Review of SDGs, Renewable Energy, and Environmental Health
Zhencheng Fan, Zheng Yan, Shiping Wen
Sustainability (2023) Vol. 15, Iss. 18, pp. 13493-13493
Open Access | Times Cited: 97
Generative adversarial networks and synthetic patient data: current challenges and future perspectives
Anmol Arora, Ananya Arora
Future Healthcare Journal (2022) Vol. 9, Iss. 2, pp. 190-193
Open Access | Times Cited: 89
Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician
Anastasia A Theodosiou, Robert C. Read
Journal of Infection (2023) Vol. 87, Iss. 4, pp. 287-294
Open Access | Times Cited: 88
Harnessing the Power of AI: A Comprehensive Review of Its Impact and Challenges in Nursing Science and Healthcare
Seema Yelne, Minakshi Chaudhary, Karishma Dod, et al.
Cureus (2023)
Open Access | Times Cited: 68
Enhancing mental health with Artificial Intelligence: Current trends and future prospects
David B. Olawade, Ojima Z. Wada, Aderonke Odetayo, et al.
Journal of Medicine Surgery and Public Health (2024) Vol. 3, pp. 100099-100099
Open Access | Times Cited: 66
Advancing Precision Medicine: A Review of Innovative In Silico Approaches for Drug Development, Clinical Pharmacology and Personalized Healthcare
Lara Marques, Bárbara Costa, Mariana Pereira, et al.
Pharmaceutics (2024) Vol. 16, Iss. 3, pp. 332-332
Open Access | Times Cited: 61
The risks of using ChatGPT to obtain common safety-related information and advice
Óscar Oviedo-Trespalacios, Amy E. Peden, Tom Cole‐Hunter, et al.
Safety Science (2023) Vol. 167, pp. 106244-106244
Open Access | Times Cited: 60
Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment
Karen Drukker, Weijie Chen, Judy Wawira Gichoya, et al.
Journal of Medical Imaging (2023) Vol. 10, Iss. 06
Open Access | Times Cited: 58
ChatGPT in Radiology: The Advantages and Limitations of Artificial Intelligence for Medical Imaging Diagnosis
Samriddhi Srivastav, Rashi Chandrakar, Shalvi Gupta, et al.
Cureus (2023)
Open Access | Times Cited: 55
Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate
Mohammad Amini, Marcia Jesus, Davood Fanaei Sheikholeslami, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 3, pp. 1023-1035
Open Access | Times Cited: 47
AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications
Pu Chen, Linna Wu, Lei Wang
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10258-10258
Open Access | Times Cited: 47
Guiding principles for the responsible development of artificial intelligence tools for healthcare
Kimberly Badal, Carmen M. Lee, Laura J. Esserman
Communications Medicine (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 43
Humans inherit artificial intelligence biases
Lucía Gómez Vicente, Helena Matute
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 41
The Role of Artificial Intelligence in Improving Patient Outcomes and Future of Healthcare Delivery in Cardiology: A Narrative Review of the Literature
Dhir Gala, Haditya Behl, Mili Shah, et al.
Healthcare (2024) Vol. 12, Iss. 4, pp. 481-481
Open Access | Times Cited: 38
Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models
Feng Chen, Liqin Wang, Julie Hong, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 5, pp. 1172-1183
Closed Access | Times Cited: 31
Advances in artificial intelligence for drug delivery and development: A comprehensive review
Amol D. Gholap, Md Jasim Uddin, Md. Faiyazuddin, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108702-108702
Closed Access | Times Cited: 31
The ChatGPT effect and transforming nursing education with generative AI: Discussion paper
Lucija Gosak, Lisiane Pruinelli, Maxim Topaz, et al.
Nurse Education in Practice (2024) Vol. 75, pp. 103888-103888
Closed Access | Times Cited: 27
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