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:
Role Of Machine Learning and Random Forest in Accuracy Enhancement During Asthma Prediction
A. Usha Rani, Hakesh Sehrawat
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2022), pp. 1-10
Closed Access | Times Cited: 5
A. Usha Rani, Hakesh Sehrawat
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2022), pp. 1-10
Closed Access | Times Cited: 5
Showing 5 citing articles:
Identifying Asthma Risk Factors and Developing Predictive Models for Early Intervention Using Machine Learning
Priyanshi Kotlia, Janmejay Pant, Manoj Chandra Lohani
Biomedical & Pharmacology Journal (2025) Vol. 18, Iss. December Spl Edition, pp. 295-314
Open Access | Times Cited: 1
Priyanshi Kotlia, Janmejay Pant, Manoj Chandra Lohani
Biomedical & Pharmacology Journal (2025) Vol. 18, Iss. December Spl Edition, pp. 295-314
Open Access | Times Cited: 1
Asthma prediction via affinity graph enhanced classifier: a machine learning approach based on routine blood biomarkers
Dejing Li, Stanley Ebhohimhen Abhadiomhen, Dongmei Zhou, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 6
Dejing Li, Stanley Ebhohimhen Abhadiomhen, Dongmei Zhou, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 6
Real-time counting of wheezing events from lung sounds using deep learning algorithms: Implications for disease prediction and early intervention
Sunghoon Im, Taewi Kim, Choongki Min, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0294447-e0294447
Open Access | Times Cited: 5
Sunghoon Im, Taewi Kim, Choongki Min, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0294447-e0294447
Open Access | Times Cited: 5
Optimization Techniques for Asthma Exacerbation Prediction Models: A Systematic Literature Review
Dahiru Adamu Aliyu, Emelia Akashah Patah Akhir, Yahaya Saidu, et al.
IEEE Access (2024) Vol. 12, pp. 110862-110890
Open Access
Dahiru Adamu Aliyu, Emelia Akashah Patah Akhir, Yahaya Saidu, et al.
IEEE Access (2024) Vol. 12, pp. 110862-110890
Open Access
Enhancing Asthma Diagnosis Through Machine Learning: A Stacking Ensemble Approach
Mahesh Goel, Manya Gupta, C. Jothikumar, et al.
(2024), pp. 1-6
Closed Access
Mahesh Goel, Manya Gupta, C. Jothikumar, et al.
(2024), pp. 1-6
Closed Access
