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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:

Pixel-Level Fusion Approach with Vision Transformer for Early Detection of Alzheimer’s Disease
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius
Electronics (2023) Vol. 12, Iss. 5, pp. 1218-1218
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Prediction of Cognitive Decline in Parkinson’s Disease Using Clinical and DAT SPECT Imaging Features, and Hybrid Machine Learning Systems
Mahdi Hosseinzadeh, Arman Gorji, Ali Fathi Jouzdani, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1691-1691
Open Access | Times Cited: 47
An Explainable AI Paradigm for Alzheimer’s Diagnosis Using Deep Transfer Learning
Tanjim Mahmud, Koushick Barua, Sultana Umme Habiba, et al.
Diagnostics (2024) Vol. 14, Iss. 3, pp. 345-345
Open Access | Times Cited: 31
Machine learning with multimodal neuroimaging data to classify stages of Alzheimer’s disease: a systematic review and meta-analysis
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Cognitive Neurodynamics (2023) Vol. 18, Iss. 3, pp. 775-794
Open Access | Times Cited: 25
A hybrid multimodal machine learning model for Detecting Alzheimer's disease
Jinhua Sheng, Qian Zhang, Qiao Zhang, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108035-108035
Closed Access | Times Cited: 14
Prediction and detection of terminal diseases using Internet of Medical Things: A review
Akeem Temitope Otapo, Alice Othmani, Ghazaleh Khodabandelou, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109835-109835
Open Access | Times Cited: 1
Alzheimer’s Disease Detection from Fused PET and MRI Modalities Using an Ensemble Classifier
Amar Shukla, Rajeev Tiwari, Shamik Tiwari
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 2, pp. 512-538
Open Access | Times Cited: 18
Deep Learning for Alzheimer’s Disease Prediction: A Comprehensive Review
Isra Malik, Ahmed Iqbal, Yeong Hyeon Gu, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1281-1281
Open Access | Times Cited: 7
Dual Attention Aware Octave Convolution Network for Early-Stage Alzheimer's Disease Detection
Banupriya Rangaraju, Thilagavathi Chinnadurai, Sarmiladevi Natarajan, et al.
Information Technology And Control (2024) Vol. 53, Iss. 1, pp. 302-316
Open Access | Times Cited: 6
Computer-aided diagnosis of Alzheimer’s disease and neurocognitive disorders with multimodal Bi-Vision Transformer (BiViT)
Syed Muhammad Ahmed Hassan Shah, Muhammad Qasim Khan, Atif Rizwan, et al.
Pattern Analysis and Applications (2024) Vol. 27, Iss. 3
Open Access | Times Cited: 6
Improving Structural MRI Preprocessing with Hybrid Transformer GANs
Ovidijus Grigas, Rytis Maskeliūnas, Robertas Damaševičius
Life (2023) Vol. 13, Iss. 9, pp. 1893-1893
Open Access | Times Cited: 15
Understanding the brain with attention: A survey of transformers in brain sciences
Cheng Chen, Huilin Wang, Yunqing Chen, et al.
Brain‐X (2023) Vol. 1, Iss. 3
Open Access | Times Cited: 15
Pipelined deep learning architecture for the detection of Alzheimer’s disease
T. Arun Prasath, V. Sumathi
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105442-105442
Closed Access | Times Cited: 14
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: 13
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
Dual Attention Convolutional AutoEncoder for Diagnosis of Alzheimer’s Disorder in Patients Using Neuroimaging and MRI Features
Shaha Al‐Otaibi, Muhammad Mujahid, Amjad Rehman, et al.
IEEE Access (2024) Vol. 12, pp. 58722-58739
Open Access | Times Cited: 5
Understanding the Role of Self-Attention in a Transformer Model for the Discrimination of SCD From MCI Using Resting-State EEG
Elena Sibilano, Domenico Buongiorno, Michael Lassi, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3422-3433
Open Access | Times Cited: 5
Ensemble approach of transfer learning and vision transformer leveraging explainable AI for disease diagnosis: An advancement towards smart healthcare 5.0
Ramesh Chandra Poonia, Halah Abdulaziz Al-Alshaikh
Computers in Biology and Medicine (2024) Vol. 179, pp. 108874-108874
Closed Access | Times Cited: 5
A Modified Bio-Inspired Optimizer with Capsule Network for Diagnosis of Alzheimer Disease
Praveena Ganesan, G. P. Ramesh, C. Puttamdappa, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6798-6798
Open Access | Times Cited: 5
An Alzheimer’s disease classification model using transfer learning Densenet with embedded healthcare decision support system
Ahmad Waleed Saleh, Gaurav Gupta, Surbhi Bhatia, et al.
Decision Analytics Journal (2023) Vol. 9, pp. 100348-100348
Open Access | Times Cited: 12
Exploring Intervention Techniques for Alzheimer’s Disease: Conventional Methods and the Role of AI in Advancing Care
S. Karthikeyan, Faizal Hajamohideen, Vimbi Viswan, et al.
Artificial Intelligence and Applications (2024)
Open Access | Times Cited: 4
Development of Multimodal Fusion Technology for Tomato Maturity Assessment
Yang Liu, Chaojie Wei, Seung-Chul Yoon, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2467-2467
Open Access | Times Cited: 4
Alzheimer’s disease diagnosis using deep learning techniques: datasets, challenges, research gaps and future directions
Asifa Nazir, Assif Assad, Ahsan Hussain, et al.
International Journal of Systems Assurance Engineering and Management (2024)
Closed Access | Times Cited: 4
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: 4
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
Ensemble network using oblique coronal MRI for Alzheimer’s disease diagnosis
Cunhao Li, Zhongjian Gao, Xiaomei Chen, et al.
NeuroImage (2025), pp. 121151-121151
Open Access
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