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:

A machine learning and explainable artificial intelligence triage-prediction system for COVID-19
Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, et al.
Decision Analytics Journal (2023) Vol. 7, pp. 100246-100246
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Current methods in explainable artificial intelligence and future prospects for integrative physiology
Bettina Finzel
Pflügers Archiv - European Journal of Physiology (2025)
Open Access | Times Cited: 2

An explainable predictive maintenance strategy for multi-fault diagnosis of rotating machines using multi-sensor data fusion
Shreyas Gawde, Shruti Patil, Satish Kumar, et al.
Decision Analytics Journal (2024) Vol. 10, pp. 100425-100425
Open Access | Times Cited: 15

State of charge estimation for electric vehicles using random forest
Mohd Herwan Sulaiman, Zuriani Mustaffa
Green Energy and Intelligent Transportation (2024) Vol. 3, Iss. 5, pp. 100177-100177
Open Access | Times Cited: 14

The impact of artificial intelligence on information audit usage: Evidence from developing countries
Faozi A. Almaqtari, Najib H.S. Farhan, Hamood Mohammed Al‐Hattami, et al.
Journal of Open Innovation Technology Market and Complexity (2024) Vol. 10, Iss. 2, pp. 100298-100298
Open Access | Times Cited: 11

An explainable artificial intelligence model for multiple lung diseases classification from chest X-ray images using fine-tuned transfer learning
Eram Mahamud, Nafiz Fahad, Md Assaduzzaman, et al.
Decision Analytics Journal (2024) Vol. 12, pp. 100499-100499
Open Access | Times Cited: 10

Value of multi‐center 18F‐FDG PET/CT radiomics in predicting EGFR mutation status in lung adenocarcinoma
Yan Zuo, Liu Liu, Cheng Chang, et al.
Medical Physics (2024) Vol. 51, Iss. 7, pp. 4872-4887
Closed Access | Times Cited: 6

Explainable artificial intelligence-driven gestational diabetes mellitus prediction using clinical and laboratory markers
Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 6

A Mamdani fuzzy inference system with trapezoidal membership functions for investigating fishery production
Kanisha Pujaru, Sayani Adak, T. K. Kar, et al.
Decision Analytics Journal (2024) Vol. 11, pp. 100481-100481
Open Access | Times Cited: 6

A comparative analysis of machine learning algorithms for detecting COVID-19 using lung X-ray images
Susmita Hamal, Bhupesh Kumar Mishra, Robert A. Baldock, et al.
Decision Analytics Journal (2024) Vol. 11, pp. 100460-100460
Open Access | Times Cited: 4

Proposal and Definition of an Intelligent Clinical Decision Support System Applied to the Prediction of Dyspnea after 12 Months of an Acute Episode of COVID-19
Manuel Casal-Guisande, Alberto Comesaña-Campos, Marta Núñez Fernández, et al.
Biomedicines (2024) Vol. 12, Iss. 4, pp. 854-854
Open Access | Times Cited: 4

Prediction of 30-day mortality for ICU patients with Sepsis-3
YU Zhi-jiang, Negin Ashrafi, Hexin Li, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4

Application of artificial intelligence in triage in emergencies and disasters: a systematic review
Azadeh Tahernejad, Ali Sahebi, Ali Salehi Sahl Abadi, et al.
BMC Public Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4

Machine learning based prediction models for the prognosis of COVID-19 patients with DKA
Renming Zhong, Jingyi Hu, Shengfang Bu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Predicting COPD Readmission: An Intelligent Clinical Decision Support System
Julia López-Canay, Manuel Casal-Guisande, Alberto Pinheira, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 318-318
Open Access

Dynamic Surgical Prioritization: A Machine Learning and XAI-Based Strategy
Fabián Silva-Aravena, Jenny Morales, Manoj Jayabalan, et al.
Technologies (2025) Vol. 13, Iss. 2, pp. 72-72
Open Access

Advanced time complexity analysis for real-time COVID-19 prediction in Saudi Arabia using LightGBM and XGBoost
Husam Sadig, Mustafa Kamal, Masood Ur Rehman, et al.
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 2, pp. 101364-101364
Closed Access

Logistic Regression and GNN-Driven Approaches for COVID-19 Diagnosis and Potential Drug Discovery
Amit Mishra, Shilpi Singh, Jagendra Singh, et al.
SpringerBriefs in applied sciences and technology (2025), pp. 37-44
Closed Access

A machine learning approach for text pattern diagnosis in mental health consultations
Safitri Juanita, Anisah Hasratniwati Daeli, Mohammad Syafrullah, et al.
Decision Analytics Journal (2025), pp. 100572-100572
Open Access

Comparing the influence of social risk factors on machine learning model performance across racial and ethnic groups in home healthcare
Mollie Hobensack, Anahita Davoudi, Jiyoun Song, et al.
Nursing Outlook (2025) Vol. 73, Iss. 3, pp. 102431-102431
Closed Access

Advanced image segmentation and severity prediction for COVID-19 using nnU-Net and optimized FRCNN-GJS algorithm
R. Vinothini, G. Niranjana
International Journal of Machine Learning and Cybernetics (2025)
Closed Access

Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions
A. Noor, Awais Manzoor, Muhammad Deedahwar Mazhar Qureshi, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 2
Open Access

A deterministic transmission model for analytics-driven optimization of COVID-19 post-pandemic vaccination and quarantine strategies
C. K. Mahadhika, Dipo Aldila
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 4, pp. 4956-4988
Open Access | Times Cited: 3

Enhancing Trauma Care: A Machine Learning Approach with XGBoost for Predicting Urgent Hemorrhage Interventions Using NTDB Data
Jin Zhang, Zhichao Jin, Bihan Tang, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 768-768
Open Access | Times Cited: 3

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