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 stacking ensemble machine learning model to predict alpha-1 antitrypsin deficiency-associated liver disease clinical outcomes based on UK Biobank data
Linxi Meng, Will Treem, Graham Heap, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 8
Linxi Meng, Will Treem, Graham Heap, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 8
Showing 8 citing articles:
A comparative analysis of boosting algorithms for chronic liver disease prediction
Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik
Healthcare Analytics (2024) Vol. 5, pp. 100313-100313
Open Access | Times Cited: 10
Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik
Healthcare Analytics (2024) Vol. 5, pp. 100313-100313
Open Access | Times Cited: 10
Enhancing the Internet of Medical Things (IoMT) Security with Meta-Learning: A Performance-Driven Approach for Ensemble Intrusion Detection Systems
Mousa Alalhareth, Sungchul Hong
Sensors (2024) Vol. 24, Iss. 11, pp. 3519-3519
Open Access | Times Cited: 6
Mousa Alalhareth, Sungchul Hong
Sensors (2024) Vol. 24, Iss. 11, pp. 3519-3519
Open Access | Times Cited: 6
Leveraging machine learning for precision medicine: a predictive model for cognitive impairment in cholestasis patients
Fang Cheng, Lina Zhang, Lanlan Xu, et al.
BMC Gastroenterology (2025) Vol. 25, Iss. 1
Open Access
Fang Cheng, Lina Zhang, Lanlan Xu, et al.
BMC Gastroenterology (2025) Vol. 25, Iss. 1
Open Access
Improved liver disease prediction from clinical data through an evaluation of ensemble learning approaches
Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Identification of disulfidptosis-related subtypes and development of a prognosis model based on stacking framework in renal clear cell carcinoma
Peng Kun, Ning Wang, Qingyuan Liu, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 13793-13810
Closed Access | Times Cited: 6
Peng Kun, Ning Wang, Qingyuan Liu, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 13793-13810
Closed Access | Times Cited: 6
Predicting Chronic Liver Disease Using Boosting Technique
Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik
(2023), pp. 1-6
Closed Access | Times Cited: 2
Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik
(2023), pp. 1-6
Closed Access | Times Cited: 2
An Efficient Machine Learning based Framework for Alcoholic Liver Disease Prediction
Velayutham Pavanasam
African Journal of Biological Sciences (2024) Vol. 6, Iss. Si4, pp. 2570-2579
Open Access
Velayutham Pavanasam
African Journal of Biological Sciences (2024) Vol. 6, Iss. Si4, pp. 2570-2579
Open Access
A Stacked Multimodality Model Based on Functional MRI Features and Deep Learning Radiomics for Predicting the Early Response to Radiotherapy in Nasopharyngeal Carcinoma
Xiaowen Wang, Jian Song, Qingtao Qiu, et al.
Academic Radiology (2024)
Closed Access
Xiaowen Wang, Jian Song, Qingtao Qiu, et al.
Academic Radiology (2024)
Closed Access
