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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:

Deep and joint learning of longitudinal data for Alzheimer's disease prediction
Baiying Lei, Mengya Yang, Peng Yang, et al.
Pattern Recognition (2020) Vol. 102, pp. 107247-107247
Closed Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Yogesh Kumar, Apeksha Koul, Ruchi Singla, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 8459-8486
Open Access | Times Cited: 606
Deep learning for Alzheimer's disease diagnosis: A survey
M. Khojaste-Sarakhsi, Seyedhamidreza Shahabi Haghighi, S.M.T. Fatemi Ghomi, et al.
Artificial Intelligence in Medicine (2022) Vol. 130, pp. 102332-102332
Closed Access | Times Cited: 99
Morphological Feature Visualization of Alzheimer’s Disease via Multidirectional Perception GAN
Yu Wen, Baiying Lei, Shuqiang Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 8, pp. 4401-4415
Open Access | Times Cited: 97
Generative AI for brain image computing and brain network computing: a review
Changwei Gong, Changhong Jing, Xuhang Chen, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 53
Multimodal classification of Alzheimer's disease and mild cognitive impairment using custom MKSCDDL kernel over CNN with transparent decision-making for explainable diagnosis
V. Adarsh, G. R. Gangadharan, Ugo Fiore, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 23
Delving deep into spatial pooling for squeeze-and-excitation networks
Xin Jin, Yanping Xie, Xiu-Shen Wei, et al.
Pattern Recognition (2021) Vol. 121, pp. 108159-108159
Closed Access | Times Cited: 94
Predicting clinical scores for Alzheimer’s disease based on joint and deep learning
Baiying Lei, Enmin Liang, Mengya Yang, et al.
Expert Systems with Applications (2021) Vol. 187, pp. 115966-115966
Closed Access | Times Cited: 70
Diagnosis of Alzheimer’s disease via an attention-based multi-scale convolutional neural network
Zhenbing Liu, Haoxiang Lu, Xipeng Pan, et al.
Knowledge-Based Systems (2021) Vol. 238, pp. 107942-107942
Closed Access | Times Cited: 67
ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease
Yuang Shi, Chen Zu, Hong Mei, et al.
Pattern Recognition (2022) Vol. 126, pp. 108566-108566
Open Access | Times Cited: 62
Alzheimer’s disease diagnosis framework from incomplete multimodal data using convolutional neural networks
Mohammed Abdelaziz, Tianfu Wang, Ahmed Elazab
Journal of Biomedical Informatics (2021) Vol. 121, pp. 103863-103863
Closed Access | Times Cited: 57
Transformed domain convolutional neural network for Alzheimer's disease diagnosis using structural MRI
S. Qasim Abbas, Lianhua Chi, Yi‐Ping Phoebe Chen
Pattern Recognition (2022) Vol. 133, pp. 109031-109031
Closed Access | Times Cited: 54
Machine and deep learning for longitudinal biomedical data: a review of methods and applications
Anna Cascarano, Jordi Mur-Petit, Jerónimo Hernández-González, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 1711-1771
Open Access | Times Cited: 29
Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges
Shaker El–Sappagh, José M. Alonso, Tamer Abuhmed, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 10, pp. 11149-11296
Closed Access | Times Cited: 25
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
A light-weight backbone to adapt with extracting grouped dilation features
Thanh Tuan Nguyen, Hoang Anh Pham, Thanh Phương Nguyễn
Pattern Analysis and Applications (2025) Vol. 28, Iss. 1
Closed Access | Times Cited: 1
Prediction Models for Early Detection of Alzheimer: Recent Trends and Future Prospects
Ishleen Kaur, Rajinder K. Sachdeva
Archives of Computational Methods in Engineering (2025)
Closed Access | Times Cited: 1
A Long Short-Term Memory Biomarker-Based Prediction Framework for Alzheimer’s Disease
Anza Aqeel, Ali Hassan, Muhammad Attique Khan, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1475-1475
Open Access | Times Cited: 36
Conditional GAN with 3D discriminator for MRI generation of Alzheimer’s disease progression
Euijin Jung, Miguel A. Cabra de Luna, Sang Hyun Park
Pattern Recognition (2022) Vol. 133, pp. 109061-109061
Open Access | Times Cited: 35
Multi-scale attention-based pseudo-3D convolution neural network for Alzheimer’s disease diagnosis using structural MRI
Zhao Pei, Zhiyang Wan, Yanning Zhang, et al.
Pattern Recognition (2022) Vol. 131, pp. 108825-108825
Closed Access | Times Cited: 31
From Online Handwriting to Synthetic Images for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach
Nicole Dalia Cilia, Tiziana D’Alessandro, Claudio De Stefano, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 12, pp. 4243-4254
Closed Access | Times Cited: 33
A novel explainable neural network for Alzheimer’s disease diagnosis
Lu Yu, Wei Xiang, Juan Fang, et al.
Pattern Recognition (2022) Vol. 131, pp. 108876-108876
Closed Access | Times Cited: 25
Predicting time-to-conversion for dementia of Alzheimer's type using multi-modal deep survival analysis
Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac, et al.
Neurobiology of Aging (2022) Vol. 121, pp. 139-156
Open Access | Times Cited: 24
Patch-based deep multi-modal learning framework for Alzheimer’s disease diagnosis using multi-view neuroimaging
Fangyu Liu, Shizhong Yuan, Weimin Li, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104400-104400
Closed Access | Times Cited: 22
MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer’s disease progression modelling
Gerard Martí‐Juan, Marco Lorenzi, Gemma Piella
NeuroImage (2023) Vol. 268, pp. 119892-119892
Open Access | Times Cited: 14
A novel graph neural network method for Alzheimer’s disease classification
Zhiheng Zhou, Qi Wang, Xiaoyu An, et al.
Computers in Biology and Medicine (2024) Vol. 180, pp. 108869-108869
Closed Access | Times Cited: 5
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