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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:

Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approach
Yu Shi, Weng Kee Wong, Jonathan Goldin, et al.
Artificial Intelligence in Medicine (2019) Vol. 100, pp. 101709-101709
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Radiomics and Artificial Intelligence in Pulmonary Fibrosis
Stefania L. Chantzi, Alexandra Kosvyra, Ioanna Chouvarda
Deleted Journal (2025)
Closed Access | Times Cited: 1
An effective approach for CT lung segmentation using mask region-based convolutional neural networks
Qinhua Hu, Luís Fabrício de Freitas Souza, Gabriel B. Holanda, et al.
Artificial Intelligence in Medicine (2020) Vol. 103, pp. 101792-101792
Closed Access | Times Cited: 97
Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
Mohammed A. A. Al‐qaness, Jie Zhu, Dalal AL-Alimi, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3267-3301
Closed Access | Times Cited: 8
Review of medical image processing using quantum-enabled algorithms
Fei Yan, Hesheng Huang, Witold Pedrycz, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 5
Model Parameters Estimation for the Biosciences Using Particle Swarm Optimization
Jun-Hyung Park, Sisi Shao, Weng Kee Wong
Statistics in Biosciences (2025)
Closed Access
Analysis of Validation Performance of a Machine Learning Classifier in Interstitial Lung Disease Cases Without Definite or Probable Usual Interstitial Pneumonia Pattern on CT Using Clinical and Pathology-Supported Diagnostic Labels
Marcello Chang, Joshua J. Reicher, Angad Kalra, et al.
Deleted Journal (2024) Vol. 37, Iss. 1, pp. 297-307
Open Access | Times Cited: 4
Review of quantum algorithms for medicine, finance and logistics
Alessia Ciacco, Francesca Guerriero, Giusy Macrina
Soft Computing (2025)
Closed Access
Medical resource allocation planning by integrating machine learning and optimization models
Tasquia Mizan, Sharareh Taghipour
Artificial Intelligence in Medicine (2022) Vol. 134, pp. 102430-102430
Closed Access | Times Cited: 19
An overview of healthcare data analytics with applications to the COVID-19 pandemic
Zhe Fei, Yevgen Ryeznik, Alex Sverdlov, et al.
IEEE Transactions on Big Data (2021), pp. 1-1
Open Access | Times Cited: 26
Fibro-CoSANet: pulmonary fibrosis prognosis prediction using a convolutional self attention network
Zabir Al Nazi, Fazla Rabbi Mashrur, Md Amirul Islam, et al.
Physics in Medicine and Biology (2021) Vol. 66, Iss. 22, pp. 225013-225013
Open Access | Times Cited: 18
Causal aware parameterized quantum stochastic gradient descent for analyzing marketing advertisements and sales forecasting
Manoranjan Gandhudi, G. R. Gangadharan, Alphonse P.J.A, et al.
Information Processing & Management (2023) Vol. 60, Iss. 5, pp. 103473-103473
Closed Access | Times Cited: 7
Correlation of FAPI PET Uptake with Immunohistochemistry in Explanted Lungs from Patients with Advanced Interstitial Lung Disease
Masatoshi Hotta, Grace Hyun J. Kim, Vilasinee Rerkpichaisuth, et al.
Journal of Nuclear Medicine (2024), pp. jnumed.124.268351-jnumed.124.268351
Closed Access | Times Cited: 2
AI-Enabled Diagnosis of Spontaneous Rupture of Ovarian Endometriomas: A PSO Enhanced Random Forest Approach
Mingyan Zhou, Feng Lin, Qian Hu, et al.
IEEE Access (2020) Vol. 8, pp. 132253-132264
Open Access | Times Cited: 20
Metal and metalloid profile as a fingerprint for traceability of wines under any Galician protected designation of origin
Gonzalo Astray, Cecilia Martinez‐Castillo, J. C. Mejuto, et al.
Journal of Food Composition and Analysis (2021) Vol. 102, pp. 104043-104043
Closed Access | Times Cited: 13
Opportunity for efficiency in clinical development: An overview of adaptive clinical trial designs and innovative machine learning tools, with examples from the cardiovascular field
Oleksandr Sverdlov, Yevgen Ryeznik, Weng Kee Wong
Contemporary Clinical Trials (2021) Vol. 105, pp. 106397-106397
Closed Access | Times Cited: 12
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
Constructing robust and efficient experimental designs in groundwater modeling using a Galerkin method, proper orthogonal decomposition, and metaheuristic algorithms
Timothy T. Ushijima, William W‐G. Yeh, Weng Kee Wong
PLoS ONE (2021) Vol. 16, Iss. 8, pp. e0254620-e0254620
Open Access | Times Cited: 11
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
End‐to‐end domain knowledge‐assisted automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using computed tomography (CT)
Wenxi Yu, Hua Zhou, Jonathan Goldin, et al.
Medical Physics (2021) Vol. 48, Iss. 5, pp. 2458-2467
Open Access | Times Cited: 7
A study design for statistical learning technique to predict radiological progression with an application of idiopathic pulmonary fibrosis using chest CT images
Grace Hyun J. Kim, Yu Shi, Wenxi Yu, et al.
Contemporary Clinical Trials (2021) Vol. 104, pp. 106333-106333
Open Access | Times Cited: 7
An LSTM-based approach for predicting idiopathic pulmonary fibrosis progression
D. Venkatesh, R. Valarmathi, R. Uma
AIP conference proceedings (2022) Vol. 2506, pp. 060009-060009
Closed Access | Times Cited: 4
Quantum intelligence in medicine: Empowering thyroid disease prediction through advanced machine learning
M Sreedhar Sha
IET Quantum Communication (2023) Vol. 5, Iss. 2, pp. 123-139
Open Access | Times Cited: 2
Predictive analysis of pulmonary fibrosis progression using gradient boosting classifier and DICOM images
R. Ramyea, N. Kasthuri, Kandasamy Senthil Kumar, et al.
AIP conference proceedings (2024)
Open Access
The applications of CT with artificial intelligence in the prognostic model of idiopathic pulmonary fibrosis
Zeyu Chen, Lin Zheng, Zihan Lin, et al.
Therapeutic Advances in Respiratory Disease (2024) Vol. 18
Open Access
Metaheuristics for pharmacometrics
Seongho Kim, Andrew C. Hooker, Yu Shi, et al.
CPT Pharmacometrics & Systems Pharmacology (2021) Vol. 10, Iss. 11, pp. 1297-1309
Open Access | Times Cited: 4
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