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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:

Explanations of Machine Learning Models in Repeated Nested Cross-Validation: An Application in Age Prediction Using Brain Complexity Features
Riccardo Scheda, Stefano Diciotti
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6681-6681
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Efficacy of MRI data harmonization in the age of machine learning: a multicenter study across 36 datasets
Chiara Marzi, Marco Giannelli, Andrea Barucci, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 15
An Interpretable Machine Learning Approach for Hepatitis B Diagnosis
George Obaido, Blessing Ogbuokiri, Theo G. Swart, et al.
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 11127-11127
Open Access | Times Cited: 48
eXplainable Artificial Intelligence (XAI) in aging clock models
Alena Kalyakulina, Igor Yusipov, Alexey Moskalev, et al.
Ageing Research Reviews (2023) Vol. 93, pp. 102144-102144
Open Access | Times Cited: 18
A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging
Mélanie Champendal, Henning Müller, John O. Prior, et al.
European Journal of Radiology (2023) Vol. 169, pp. 111159-111159
Open Access | Times Cited: 17
A novel exploratory hybrid deep neural network to predict breast cancer for mammography based on wavelet features
R. Karthiga, K. Narasimhan, Ravikumar Chinthaginjala, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 65441-65467
Closed Access | Times Cited: 7
Advancing Peptide-Based Cancer Therapy with AI: In-Depth Analysis of State-of-the-Art AI Models
Sadik Bhattarai, Hilal Tayara, Kil To Chong
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 13, pp. 4941-4957
Closed Access | Times Cited: 7
Ensemble machine learning for interpretable soil heat flux estimation
James F. Cross, D. Drewry
Ecological Informatics (2024) Vol. 82, pp. 102697-102697
Open Access | Times Cited: 6
Machine Learning for Early Diagnosis of ATTRv Amyloidosis in Non-Endemic Areas: A Multicenter Study from Italy
Vincenzo Di Stefano, Francesco Prinzi, Marco Luigetti, et al.
Brain Sciences (2023) Vol. 13, Iss. 5, pp. 805-805
Open Access | Times Cited: 14
Uncovering the financial impact of energy-efficient building characteristics with eXplainable artificial intelligence
Koray Konhäuser, Tim Werner
Applied Energy (2024) Vol. 374, pp. 123960-123960
Open Access | Times Cited: 4
Machine Learning Ensemble Methodologies for the Prediction of the Failure Mode of Reinforced Concrete Beam–Column Joints
Martha Karabini, Ioannis Karampinis, Theodoros Rousakis, et al.
Information (2024) Vol. 15, Iss. 10, pp. 647-647
Open Access | Times Cited: 4
The Shape of the Brain's Connections Is Predictive of Cognitive Performance: An Explainable Machine Learning Study
Yui Lo, Yuqian Chen, Dongnan Liu, et al.
Human Brain Mapping (2025) Vol. 46, Iss. 5
Open Access
RADAR-AD: assessment of multiple remote monitoring technologies for early detection of Alzheimer’s disease
Manuel Lentzen, Srinivasan Vairavan, Marijn Muurling, et al.
Alzheimer s Research & Therapy (2025) Vol. 17, Iss. 1
Open Access
Quantitative prediction of disinfectant tolerance in Listeria monocytogenes using whole genome sequencing and machine learning
Alexander Gmeiner, Mirena Ivanova, Patrick Murigu Kamau Njage, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Medications and conditions associated with weight loss in patients prescribed semaglutide based on real‐world data
William C. Powell, Xing Song, Yahia Mohamed, et al.
Obesity (2023) Vol. 31, Iss. 10, pp. 2482-2492
Open Access | Times Cited: 12
Machine Learning Modelling for Predicting the Efficacy of Ionic Liquid-Aided Biomass Pretreatment
Biswanath Mahanty, Munmun Gharami, Dibyajyoti Haldar
BioEnergy Research (2024) Vol. 17, Iss. 3, pp. 1569-1583
Open Access | Times Cited: 4
Fractal dimension of the cortical gray matter outweighs other brain MRI features as a predictor of transition to dementia in patients with mild cognitive impairment and leukoaraiosis
Chiara Marzi, Riccardo Scheda, Emilia Salvadori, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 9
Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis
C. Jiménez-Mesa, Javier Ramı́rez, Zhenghui Yi, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 5
Open Access | Times Cited: 3
Predicting lncRNA–protein interactions through deep learning framework employing multiple features and random forest algorithm
Ying Liang, XingRui Yin, YangSen Zhang, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Advancements in Individual Tree Detection and Forest Structural Attributes Estimation From LiDAR Data: MSITD and SAFER Approaches
Mohammad A. Fallah, Hossein Aghighi, Ali Akbar Matkan
Earth and Space Science (2024) Vol. 11, Iss. 3
Open Access | Times Cited: 2
Toward Precision Diagnosis
Emma O’Shaughnessy, Lucile Sénicourt, Natasha Mambour, et al.
Investigative Radiology (2024) Vol. 59, Iss. 10, pp. 737-745
Closed Access | Times Cited: 2
Insights from experiment and machine learning for enhanced TiO2 coated glazing for photocatalytic NOx remediation
Zhipeng Lin, Yuankai Li, Saif A. Haque, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 22, pp. 13281-13298
Open Access | Times Cited: 2
Development of a machine learning model for early prediction of plasma leakage in suspected dengue patients
Ramtin Zargari Marandi, Preston Leung, Chathurani Sigera, et al.
PLoS neglected tropical diseases (2023) Vol. 17, Iss. 3, pp. e0010758-e0010758
Open Access | Times Cited: 6
Artificial Intelligence in Health Care Sector and Future Scope
Ayushi Sharma, Rakesh Kumar
(2023), pp. 210-214
Closed Access | Times Cited: 4
Breast cancer diagnosis and management guided by data augmentation, utilizing an integrated framework of SHAP and random augmentation
Chukwuebuka Joseph Ejiyi, Zhen Qin, Happy Nkanta Monday, et al.
BioFactors (2023) Vol. 50, Iss. 1, pp. 114-134
Closed Access | Times Cited: 4
Machine Learning Prediction of Treatment Response to Biological Disease-Modifying Antirheumatic Drugs in Rheumatoid Arthritis
Fatemeh Salehi, Luis I. Lopera González, Sara Bayat, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 13, pp. 3890-3890
Open Access | Times Cited: 1
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