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:

Estimating explainable Alzheimer’s disease likelihood map via clinically-guided prototype learning
Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, et al.
NeuroImage (2023) Vol. 273, pp. 120073-120073
Open Access | Times Cited: 17

Showing 17 citing articles:

Explainable Artificial Intelligence in Alzheimer’s Disease Classification: A Systematic Review
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 1-44
Open Access | Times Cited: 46

Artificial intelligence-based diagnosis of Alzheimer's disease with brain MRI images
Zhaomin Yao, Hongyu Wang, W. C. Yan, et al.
European Journal of Radiology (2023) Vol. 165, pp. 110934-110934
Closed Access | Times Cited: 30

Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Ahmed Elazab, Changmiao Wang, M. Abdel-Aziz, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124780-124780
Closed Access | Times Cited: 11

PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans
Lisa Anita De Santi, Jörg Schlötterer, Michael Scheschenja, et al.
Lecture notes in computer science (2025), pp. 69-78
Closed Access

Early progression detection from MCI to AD using multi-view MRI for enhanced assisted living
Nasir Rahim, Naveed Ahmad, Waseem Ullah, et al.
Image and Vision Computing (2025), pp. 105491-105491
Closed Access

Applications of interpretable deep learning in neuroimaging: a comprehensive review
Lindsay Munroe, Mariana da Silva, Faezeh Heidari, et al.
Imaging Neuroscience (2024) Vol. 2, pp. 1-37
Open Access | Times Cited: 2

UNVEILING THE DECISION MAKING PROCESS IN ALZHEIMER’S DISEASE DIAGNOSIS: A CASE-BASED COUNTERFACTUAL METHODOLOGY FOR EXPLAINABLE DEEP LEARNING
V. Adarsh, G. R. Gangadharan
Journal of Neuroscience Methods (2024) Vol. 413, pp. 110318-110318
Closed Access | Times Cited: 2

Disease2Vec: Encoding Alzheimer’s progression via disease embedding tree
Lu Zhang, Li Wang, Tianming Liu, et al.
Pharmacological Research (2023) Vol. 199, pp. 107038-107038
Open Access | Times Cited: 4

Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision
Yasmine Mustafa, Tie Luo
Lecture notes in computer science (2024), pp. 75-90
Closed Access | Times Cited: 1

Utilizing Deep Neural Networks for Enhanced Diagnosis of Dermatological Conditions
Parthasarathi Pattnayak, Sanghamitra Patnaik, Sameer Sameer, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access | Times Cited: 1

Explainable Machine Learning Models for Brain Diseases: Insights from a Systematic Review
Mirko Jerber Rodríguez Mallma, Luis Zuloaga-Rotta, Rubén Borja-Rosales, et al.
Neurology International (2024) Vol. 16, Iss. 6, pp. 1285-1307
Open Access | Times Cited: 1

LSOR: Longitudinally-Consistent Self-Organized Representation Learning
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, et al.
Lecture notes in computer science (2023), pp. 279-289
Open Access | Times Cited: 3

Medical Metaverse, Part 2: Artificial Intelligence Algorithms and Large Language Models in Psychiatry and Clinical Neurosciences
Wilfredo López-Ojeda, Robin A. Hurley
Journal of Neuropsychiatry (2023) Vol. 35, Iss. 4, pp. 316-320
Closed Access | Times Cited: 3

Applying Artificial Intelligence and Deep Learning to Identify Neglected Tropical Skin Disorders
Parthasarathi Pattnayak, Arpeeta Mohanty, Tulip Das, et al.
(2024), pp. 1-6
Closed Access

Alzheimer’s Disease Diagnosis Using Artificial Intelligence and MRI Images of the Brain
Tulip Das, Chinmaya Kumar Nayak, Parthasarathi Pattnayak
(2024), pp. 1-6
Closed Access

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