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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:

Multi-modal cross-attention network for Alzheimer’s disease diagnosis with multi-modality data
Jin Zhang, Xiaohai He, Luping Liu, et al.
Computers in Biology and Medicine (2023) Vol. 162, pp. 107050-107050
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Ensemble deep learning for Alzheimer’s disease characterization and estimation
M. Tanveer, Tushar Goel, Rahul Sharma, et al.
Nature Mental Health (2024) Vol. 2, Iss. 6, pp. 655-667
Closed Access | Times Cited: 16
Advances and prospects of multi-modal ophthalmic artificial intelligence based on deep learning: a review
Shaopan Wang, Xin He, Zhongquan Jian, et al.
Eye and Vision (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 6
An end-to-end multimodal 3D CNN framework with multi-level features for the prediction of mild cognitive impairment
Yanteng Zhang, Xiaohai He, Yixin Liu, et al.
Knowledge-Based Systems (2023) Vol. 281, pp. 111064-111064
Closed Access | Times Cited: 14
A hierarchical attention-based multimodal fusion framework for predicting the progression of Alzheimer’s disease
Peixin Lu, Lianting Hu, Alexis Mitelpunkt, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105669-105669
Open Access | Times Cited: 14
DML-MFCM: A multimodal fine-grained classification model based on deep metric learning for Alzheimer's disease diagnosis
Heng Wang, Tiejun Yang, Jiacheng Fan, et al.
Journal of X-Ray Science and Technology (2025)
Closed Access
Multi-knowledge informed deep learning model for multi-point prediction of Alzheimer’s disease progression
Kai Wu, Hong Wang, Feiyan Feng, et al.
Neural Networks (2025) Vol. 185, pp. 107203-107203
Closed Access
Research progress on brain network imaging biomarkers of subjective cognitive decline
Han Yingmei, Chaojie Wang, Yi Zhang, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access
A review of AI-based radiogenomics in neurodegenerative disease
Huanjing Liu, Xiaohong Zhang, Qian Liu
Frontiers in Big Data (2025) Vol. 8
Open Access
Multimodal diagnosis of Alzheimer’s disease based on resting-state electroencephalography and structural magnetic resonance imaging
Junxiu Liu, Shangxiao Wu, Qiang Fu, et al.
Frontiers in Physiology (2025) Vol. 16
Open Access
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
Alzheimer’s disease prediction algorithm based on de-correlation constraint and multi-modal feature interaction
Jiayuan Cheng, Huabin Wang, Shicheng Wei, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108000-108000
Closed Access | Times Cited: 4
Exploring the Potential of Convolutional Neural Networks in Classifying Alzheimer’s Stages with Multi-biomarker Approach
Mohammed Al‐Zharani, Syed Immamul Ansarullah, Gowhar Mohi ud din dar, et al.
Deleted Journal (2025) Vol. 4, Iss. 1
Open Access
MCNEL: A multi-scale convolutional network and ensemble learning for Alzheimer’s disease diagnosis
Fei Yan, Lily Peng, Fangyan Dong, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 264, pp. 108703-108703
Closed Access
Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis
Xu Tian, Hong‐Dong Li, Hanhe Lin, et al.
Neural Networks (2025) Vol. 187, pp. 107343-107343
Closed Access
Early detection of dementia using artificial intelligence and multimodal features with a focus on neuroimaging: A systematic literature review
Ovidijus Grigas, Rytis Maskeliūnas, Robertas Damaševičius
Health and Technology (2024) Vol. 14, Iss. 2, pp. 201-237
Closed Access | Times Cited: 3
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: 2
A feature-aware multimodal framework with auto-fusion for Alzheimer’s disease diagnosis
Meiwei Zhang, Qiushi Cui, Yang Lü, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108740-108740
Closed Access | Times Cited: 2
Interpretable Neuro-cognitive Diagnostic Approach Incorporating Multidimensional Features
Tao Huang, Jing Geng, Huali Yang, et al.
Knowledge-Based Systems (2024) Vol. 304, pp. 112432-112432
Closed Access | Times Cited: 2
HiMAL: Multimodal Hierarchical Multi-task Auxiliary Learning framework for predicting Alzheimer’s disease progression
Sayantan Kumar, Sean Yu, Andrew P. Michelson, et al.
JAMIA Open (2024) Vol. 7, Iss. 3
Open Access | Times Cited: 2
Multi-scale multimodal deep learning framework for Alzheimer's disease diagnosis
M. Abdel-Aziz, Tianfu Wang, Waqas Anwaar, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109438-109438
Closed Access | Times Cited: 2
The Brain Network Hub Degeneration in Alzheimer’s Disease
Suhui Jin, Jinhui Wang, Yong He
Biophysics Reports (2024)
Open Access | Times Cited: 1
MICDnet: Multimodal information processing networks for Crohn’s disease diagnosis
Zixi Jia, Yilu Wang, Shengming Li, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107790-107790
Closed Access | Times Cited: 4
Septic Arthritis Modeling Using Sonographic Fusion with Attention and Selective Transformation: a Preliminary Study
Chung‐Ming Lo, Kuo‐Lung Lai
Deleted Journal (2024)
Closed Access | Times Cited: 1
A multimodal learning machine framework for Alzheimer’s disease diagnosis based on neuropsychological and neuroimaging data
Meiwei Zhang, Qiushi Cui, Yang Lü, et al.
Computers & Industrial Engineering (2024), pp. 110625-110625
Closed Access | Times Cited: 1
Patch-based interpretable deep learning framework for Alzheimer’s disease diagnosis using multimodal data
Heng Zhang, Ming Ni, Yi Yang, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107085-107085
Closed Access | Times Cited: 1
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