Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Interpretability of machine learning‐based prediction models in healthcare
Gregor Štiglic, Primož Kocbek, Nino Fijačko, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2020) Vol. 10, Iss. 5
Open Access | Times Cited: 373

Showing 1-25 of 373 citing articles:

Scientific discovery in the age of artificial intelligence
Hanchen Wang, Tianfan Fu, Yuanqi Du, et al.
Nature (2023) Vol. 620, Iss. 7972, pp. 47-60
Closed Access | Times Cited: 702
Explainable Deep Learning Models in Medical Image Analysis
Amitojdeep Singh, Sourya Sengupta, Vasudevan Lakshminarayanan
Journal of Imaging (2020) Vol. 6, Iss. 6, pp. 52-52
Open Access | Times Cited: 532
From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where
Imran Ahmed, Gwanggil Jeon, Francesco Piccialli
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 8, pp. 5031-5042
Closed Access | Times Cited: 443
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: 373
Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in Cardiology
Jeremy Petch, Shuang Di, Walter Nelson
Canadian Journal of Cardiology (2021) Vol. 38, Iss. 2, pp. 204-213
Open Access | Times Cited: 355
Nanoparticle synthesis assisted by machine learning
Huachen Tao, Tianyi Wu, Matteo Aldeghi, et al.
Nature Reviews Materials (2021) Vol. 6, Iss. 8, pp. 701-716
Closed Access | Times Cited: 313
Machine learning directed drug formulation development
Pauric Bannigan, Matteo Aldeghi, Zeqing Bao, et al.
Advanced Drug Delivery Reviews (2021) Vol. 175, pp. 113806-113806
Closed Access | Times Cited: 184
Interpretable machine learning for building energy management: A state-of-the-art review
Zhe Chen, Fu Xiao, Fangzhou Guo, et al.
Advances in Applied Energy (2023) Vol. 9, pp. 100123-100123
Open Access | Times Cited: 159
Machine Learning Toxicity Prediction: Latest Advances by Toxicity End Point
Claudio N. Cavasotto, Valeria Scardino
ACS Omega (2022) Vol. 7, Iss. 51, pp. 47536-47546
Open Access | Times Cited: 86
Interpretable and explainable machine learning: A methods‐centric overview with concrete examples
Ričards Marcinkevičs, Julia E. Vogt
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 3
Open Access | Times Cited: 68
Explainable AI for Bioinformatics: Methods, Tools and Applications
Md. Rezaul Karim, Tanhim Islam, Md Shajalal, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Open Access | Times Cited: 66
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach
Christoph Molnar, Gunnar König, Bernd Bischl, et al.
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 5, pp. 2903-2941
Open Access | Times Cited: 50
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: 50
Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review
Maria Frasca, Davide La Torre, Gabriella Pravettoni, et al.
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 38
Applying artificial intelligence to clinical decision support in mental health: What have we learned?
Grace Golden, Christina Popescu, Sonia Israel, et al.
Health Policy and Technology (2024) Vol. 13, Iss. 2, pp. 100844-100844
Open Access | Times Cited: 21
A Review of Machine Learning’s Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges
Marwah Abdulrazzaq Naser, Aso Ahmed Majeed, Muntadher Alsabah, et al.
Algorithms (2024) Vol. 17, Iss. 2, pp. 78-78
Open Access | Times Cited: 17
Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using interpretable machine learning
Rikke Linnemann Nielsen, Thomas Monfeuga, Robert R. Kitchen, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 17
AI-enhanced biomedical micro/nanorobots in microfluidics
Hui Dong, Jiawen Lin, Yihui Tao, et al.
Lab on a Chip (2024) Vol. 24, Iss. 5, pp. 1419-1440
Open Access | Times Cited: 16
The Impact of Artificial Intelligence and Machine Learning in Organ Retrieval and Transplantation: A Comprehensive Review
David B. Olawade, Sheila Marinze, Nabeel Qureshi, et al.
Current Research in Translational Medicine (2025) Vol. 73, Iss. 2, pp. 103493-103493
Open Access | Times Cited: 2
Machine learning in medicine: should the pursuit of enhanced interpretability be abandoned?
Chang Ho Yoon, Robert Torrance, Naomi Scheinerman
Journal of Medical Ethics (2021) Vol. 48, Iss. 9, pp. 581-585
Open Access | Times Cited: 77
QoS-Ledger: Smart Contracts and Metaheuristic for Secure Quality-of-Service and Cost-Efficient Scheduling of Medical-Data Processing
Abdullah Ayub Khan, Zaffar Ahmed Shaikh, Лаура Байтенова, et al.
Electronics (2021) Vol. 10, Iss. 24, pp. 3083-3083
Open Access | Times Cited: 76
A Review of Interpretable ML in Healthcare: Taxonomy, Applications, Challenges, and Future Directions
Talal A. A. Abdullah, Mohd Soperi Mohd Zahid, Waleed Ali
Symmetry (2021) Vol. 13, Iss. 12, pp. 2439-2439
Open Access | Times Cited: 66
Shapley variable importance cloud for interpretable machine learning
Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, et al.
Patterns (2022) Vol. 3, Iss. 4, pp. 100452-100452
Open Access | Times Cited: 63
The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges
Tabinda Sarwar, Sattar Seifollahi, Jeffrey Chan, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-40
Open Access | Times Cited: 62
Interpretable Machine Learning Techniques in ECG-Based Heart Disease Classification: A Systematic Review
Yehualashet Megersa Ayano, Friedhelm Schwenker, Bisrat Derebssa Dufera, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 111-111
Open Access | Times Cited: 58
Page 1 - Next Page

Scroll to top