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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:

Explainable Artificial Intelligence for COVID-19 Diagnosis Through Blood Test Variables
Lucas M. Thimoteo, Marley Vellasco, Jorge Amaral, et al.
Journal of Control Automation and Electrical Systems (2022) Vol. 33, Iss. 2, pp. 625-644
Open Access | Times Cited: 21

Showing 21 citing articles:

Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino, Franca Delmastro
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 5261-5315
Open Access | Times Cited: 87
Diagnosing COVID-19 using artificial intelligence: a comprehensive review
Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 39
A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence
Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat K, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 439-439
Open Access | Times Cited: 31
Predictive models for COVID-19 detection using routine blood tests and machine learning
Yury V. Kistenev, Denis A. Vrazhnov, Ekaterina E. Shnaider, et al.
Heliyon (2022) Vol. 8, Iss. 10, pp. e11185-e11185
Open Access | Times Cited: 26
Credit default prediction of Chinese real estate listed companies based on explainable machine learning
Yuanyuan Ma, Pingping Zhang, Shaodong Duan, et al.
Finance research letters (2023) Vol. 58, pp. 104305-104305
Closed Access | Times Cited: 13
Rapid Triage of Children with Suspected COVID-19 Using Laboratory-Based Machine-Learning Algorithms
Dejan Dobrijević, Gordana Vilotijević-Dautović, Jasmina Katanić, et al.
Viruses (2023) Vol. 15, Iss. 7, pp. 1522-1522
Open Access | Times Cited: 10
Machine Learning First Response to COVID-19: A Systematic Literature Review of Clinical Decision Assistance Approaches during Pandemic Years from 2020 to 2022
Goizalde Badiola-Zabala, José Manuel López-Guede, Julián Estévez, et al.
Electronics (2024) Vol. 13, Iss. 6, pp. 1005-1005
Open Access | Times Cited: 3
Intelligent diagnosis of Kawasaki disease from real-world data using interpretable machine learning models
Yifan Duan, Ruiqi Wang, Zhilin Huang, et al.
Hellenic Journal of Cardiology (2024)
Open Access | Times Cited: 3
Towards Improved XAI-Based Epidemiological Research into the Next Potential Pandemic
Hamed Khalili, Maria A. Wimmer
Life (2024) Vol. 14, Iss. 7, pp. 783-783
Open Access | Times Cited: 2
No more black-boxes: estimate deformation capacity of non-ductile RC shear walls based on generalized additive models
Zeynep Tuna Değer, Gülşen Taşkın, John W. Wallace
Bulletin of Earthquake Engineering (2024)
Open Access | Times Cited: 2
An explainable AI approach for diagnosis of COVID-19 using MALDI-ToF mass spectrometry
Venkata Devesh Reddy Seethi, Zane LaCasse, Prajkta Chivte, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121226-121226
Open Access | Times Cited: 5
ISW-LM: An intensive symptom weight learning mechanism for early COVID-19 diagnosis
Lingling Fang, Xiyue Liang
Computers in Biology and Medicine (2022) Vol. 146, pp. 105615-105615
Open Access | Times Cited: 8
Application of boosted trees to the prognosis prediction of COVID‐19
Sajjad Molaei, Hadi Moazen, Hamid Reza Niazkar, et al.
Health Science Reports (2024) Vol. 7, Iss. 5
Open Access | Times Cited: 1
Trusting AI made decisions in healthcare by making them explainable
Bojan Žlahtič, Jernej Završnik, Peter Kokol, et al.
Science Progress (2024) Vol. 107, Iss. 3
Open Access | Times Cited: 1
XAIA: An Explainable AI Approach for Classification and Analysis of Blood Anemia
Jyoti Prajapati, Venkanna Uduthalapally, Debanjan Das, et al.
(2023), pp. 88-93
Closed Access | Times Cited: 3
COVIDAL: A Machine Learning Classifier for Digital COVID-19 Diagnosis in German Hospitals
Christina C. Bartenschlager, Stefanie S. Ebel, Sebastian Kling, et al.
ACM Transactions on Management Information Systems (2022) Vol. 14, Iss. 2, pp. 1-16
Open Access | Times Cited: 5
Explainable Artificial Intelligence for Medical Science
Jamie Duell
(2024)
Open Access
Decoding Perinatal Mental Health: Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health through Explainable Machine Learning
Guanjin Wang, Hachem Bennamoun, Wai Hang Kwok, et al.
Research Square (Research Square) (2024)
Open Access
Reconstructing the cytokine view for the multi-view prediction of COVID-19 mortality
Yueying Wang, Zhao Wang, Yaqing Liu, et al.
BMC Infectious Diseases (2023) Vol. 23, Iss. 1
Open Access
Optimizing explainability of Breast Cancer Recurrence using FuzzyGenetic
Fabio Cardoso, Thiago Emannuel Medeiros, Marley Vellasco, et al.
(2023), pp. 447-460
Open Access
Explainable learning to analyze the outcome of COVID-19 patients using clinical data
Daniel Olañeta, Daniel Iglesias, Joaquim de Moura, et al.
Procedia Computer Science (2023) Vol. 225, pp. 238-247
Open Access
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