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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:

A Soft Voting Ensemble-Based Model for the Early Prediction of Idiopathic Pulmonary Fibrosis (IPF) Disease Severity in Lungs Disease Patients
Sikandar Ali, Ali Hussain, Satyabrata Aich, et al.
Life (2021) Vol. 11, Iss. 10, pp. 1092-1092
Open Access | Times Cited: 11

Showing 11 citing articles:

Enhancing Heart Disease Prediction Accuracy through Machine Learning Techniques and Optimization
Nadikatla Chandrasekhar, Samineni Peddakrishna
Processes (2023) Vol. 11, Iss. 4, pp. 1210-1210
Open Access | Times Cited: 100
Research Progress of Respiratory Disease and Idiopathic Pulmonary Fibrosis Based on Artificial Intelligence
Gerui Zhang, Lin Luo, Limin Zhang, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 357-357
Open Access | Times Cited: 22
A machine learning-based diagnosis modelling of type 2 diabetes mellitus with environmental metal exposure
Min Zhao, Jin W, Wenzhi Qin, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 235, pp. 107537-107537
Closed Access | Times Cited: 22
Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model
Sikandar Ali, Ali Hussain, Subrata Bhattacharjee, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9983-9983
Open Access | Times Cited: 10
Practice of distributed machine learning in clinical modeling for chronic obstructive pulmonary disease
Junfeng Peng, Xujiang Liu, Ziwei Cai, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33566-e33566
Open Access | Times Cited: 1
ELIPF: Explicit Learning Framework for Pre-Emptive Forecasting, Early Detection and Curtailment of Idiopathic Pulmonary Fibrosis Disease
Tagne Poupi Theodore Armand, Md Ariful Islam Mozumder, Kouayep Sonia Carole, et al.
BioMedInformatics (2024) Vol. 4, Iss. 3, pp. 1807-1821
Open Access | Times Cited: 1
Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features
Anamul Haque, Doug Stubbs, Nina Hubig, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 7
Data-Driven Assisted Decision Making for Surgical Procedure of Hepatocellular Carcinoma Resection and Prognostic Prediction: Development and Validation of Machine Learning Models
Liyang Wang, Danjun Song, Wentao Wang, et al.
Cancers (2023) Vol. 15, Iss. 6, pp. 1784-1784
Open Access | Times Cited: 3
Predicting Sudden Sensorineural Hearing Loss Recovery with Patient-Personalized Seigel’s Criteria Using Machine Learning
Sanghyun Shon, Kyung-Geun Lim, Minsu Chae, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1296-1296
Open Access
MEDIFORECAST : MULTIPLE DISEASE PREDICTION

International Research Journal of Modernization in Engineering Technology and Science (2023)
Open Access | Times Cited: 1
Homogeneous ensemble models for predicting infection levels and mortality of COVID-19 patients: Evidence from China
Jiafeng Wang, Xianlong Zhou, Zhitian Hou, et al.
Digital Health (2022) Vol. 8, pp. 205520762211336-205520762211336
Open Access
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