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:

Explainable Deep-Learning-Based Diagnosis of Alzheimer’s Disease Using Multimodal Input Fusion of PET and MRI Images
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Journal of Medical and Biological Engineering (2023) Vol. 43, Iss. 3, pp. 291-302
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Classification of Alzheimer’s disease using MRI data based on Deep Learning Techniques
Shaymaa E. Sorour, Amr A. Abd El-Mageed, Khalied M. Albarrak, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 2, pp. 101940-101940
Open Access | Times Cited: 36

A review of deep learning-based information fusion techniques for multimodal medical image classification
Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, et al.
Computers in Biology and Medicine (2024) Vol. 177, pp. 108635-108635
Open Access | Times Cited: 17

Emerging Trends in Deep Learning for Early Alzheimer's Disease Diagnosis and Classification: A Comprehensive Review
S. Gokul Amuthan, Naveen Kumar
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 7

Ensemble-based multimodal medical imaging fusion for tumor segmentation
A. Karthik, Hatem S. A. Hamatta, Sridhar Patthi, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106550-106550
Closed Access | Times Cited: 11

Progress and trends in neurological disorders research based on deep learning
Muhammad Shahid Iqbal, Md Belal Bin Heyat, Saba Parveen, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 116, pp. 102400-102400
Closed Access | Times Cited: 8

An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using explainable 2D Convolutional Neural Networks
Iswarya Kannoth Veetil, Divi Eswar Chowdary, Paleti Nikhil Chowdary, et al.
Digital Signal Processing (2024) Vol. 147, pp. 104407-104407
Closed Access | Times Cited: 7

Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages
Haozhe Xu, Jian Wang, Qianjin Feng, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103448-103448
Closed Access

Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It
Yasir Hafeez, Khuhed Memon, Maged S. Al-Quraishi, et al.
Diagnostics (2025) Vol. 15, Iss. 2, pp. 168-168
Open Access

An Automated Multimodal Medical Image Fusion Framework for Alzheimer Detection using Deep Learning
S. Beatrice, Janaki Meena M, I. Dhivviyanandnam
Research Square (Research Square) (2025)
Closed Access

GATransformer: A Graph Attention Network-Based Transformer Model to Generate Explainable Attentions for Brain Tumor Detection
Sara Tehsin, Inzamam Mashood Nasir, Robertas Damaševičius
Algorithms (2025) Vol. 18, Iss. 2, pp. 89-89
Open Access

Explainability of Disease Classification from Medical Images Using XGrad-Cam
Sara Tehsin, Inzamam Mashood Nasir, Robertas Damaševičius
Communications in computer and information science (2025), pp. 221-236
Closed Access

Three‐Dimensional Network With Squeeze and Excitation for Accurate Multi‐Region Brain Tumor Segmentation
Anila Kunjumon, Chinnu Jacob, R. Resmi
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 2
Closed Access

Optimized Convolutional Fusion for Multimodal Neuroimaging in Alzheimer’s Disease Diagnosis: Enhancing Data Integration and Feature Extraction
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius
Journal of Personalized Medicine (2023) Vol. 13, Iss. 10, pp. 1496-1496
Open Access | Times Cited: 13

Pareto Optimized Adaptive Learning with Transposed Convolution for Image Fusion Alzheimer’s Disease Classification
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius
Brain Sciences (2023) Vol. 13, Iss. 7, pp. 1045-1045
Open Access | Times Cited: 11

Efficient multimodel method based on transformers and CoAtNet for Alzheimer's diagnosis
Rahma Kadri, Bassem Bouaziz, Mohamed Tmar, et al.
Digital Signal Processing (2023) Vol. 143, pp. 104229-104229
Closed Access | Times Cited: 11

Deep Learning-Based Prediction of Alzheimer’s Disease Using Microarray Gene Expression Data
Mahmoud M. Abdelwahab, Khamis A. Al-Karawi, H. E. Semary
Biomedicines (2023) Vol. 11, Iss. 12, pp. 3304-3304
Open Access | Times Cited: 11

Multi-View Separable Residual convolution neural Network for detecting Alzheimer’s disease progression
Mohamed Amine Zayene, Hend Basly, Fatma Ezahra Sayadi
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106375-106375
Closed Access | Times Cited: 3

HAMMF: Hierarchical attention-based multi-task and multi-modal fusion model for computer-aided diagnosis of Alzheimer’s disease
X Liu, Weimin Li, Shang Miao, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108564-108564
Closed Access | Times Cited: 3

A multimodal vision transformer for interpretable fusion of functional and structural neuroimaging data
Yuda Bi, Anees Abrol, Zening Fu, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 17
Open Access | Times Cited: 3

Detection of Alzheimer's disease using deep learning models: A systematic literature review
Eqtidar M. Mohammed, Ahmed M. Fakhrudeen, Omar Alani
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101551-101551
Open Access | Times Cited: 2

Improving Alzheimer’s Disease Classification in Brain MRI Images Using a Neural Network Model Enhanced with PCA and SWLDA
Irshad Ahmad, Muhammad Hameed Siddiqi, S. Alhujaili, et al.
Healthcare (2023) Vol. 11, Iss. 18, pp. 2551-2551
Open Access | Times Cited: 6

Optimizing Parkinson's Disease Diagnosis with Multimodal Data Fusion Techniques
C.M.T. Karthigeyan, Chava Santhi Rani
Information Technology And Control (2024) Vol. 53, Iss. 1, pp. 262-279
Open Access | Times Cited: 1

MSCLK: Multi-scale fully separable convolution neural network with large kernels for early diagnosis of Alzheimer’s disease
Run-Feng Tian, Jia-Ni Li, Shao‐Wu Zhang
Expert Systems with Applications (2024) Vol. 252, pp. 124241-124241
Closed Access | Times Cited: 1

MACFNet: Detection of Alzheimer's disease via multiscale attention and cross-enhancement fusion network
Chaosheng Tang, Mengbo Xi, Junding Sun, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 254, pp. 108259-108259
Open Access | Times Cited: 1

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