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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-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

Showing 1-25 of 31 citing articles:

An evolutionary explainable deep learning approach for Alzheimer's MRI classification
Shakila Shojaei, Mohammad Saniee Abadeh, Zahra Momeni
Expert Systems with Applications (2023) Vol. 220, pp. 119709-119709
Closed Access | Times Cited: 44
Learning spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction
Weihua Li, Yanbu Guo, Bingyi Wang, et al.
Pattern Recognition (2022) Vol. 136, pp. 109234-109234
Closed Access | Times Cited: 65
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
ML-FGAT: Identification of multi-label protein subcellular localization by interpretable graph attention networks and feature-generative adversarial networks
Congjing Wang, Yifei Wang, Pengju Ding, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 107944-107944
Closed Access | Times Cited: 8
Interpretable medical deep framework by logits-constraint attention guiding graph-based multi-scale fusion for Alzheimer’s disease analysis
Jinghao Xu, Chenxi Yuan, Xiaochuan Ma, et al.
Pattern Recognition (2024) Vol. 152, pp. 110450-110450
Closed Access | Times Cited: 8
RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network
Yifei Wang, Xue Wang, Cheng Chen, et al.
Pattern Recognition (2023) Vol. 141, pp. 109626-109626
Closed Access | Times Cited: 13
MMTFN: Multi‐modal multi‐scale transformer fusion network for Alzheimer's disease diagnosis
Shang Miao, Qun Xu, Weimin Li, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Open Access | Times Cited: 13
Two-stage fine-grained image classification model based on multi-granularity feature fusion
Yang Xu, Shanshan Wu, Biqi Wang, et al.
Pattern Recognition (2023) Vol. 146, pp. 110042-110042
Closed Access | Times Cited: 13
Integrating imaging and genetic data via wavelet transform-based CNN for Alzheimer ’s disease classification
Jinwang Feng, Mingfeng Jiang, Haowen Zhang, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107583-107583
Closed 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
Structural biomarker‐based Alzheimer's disease detection via ensemble learning techniques
Amar Shukla, Rajeev Tiwari, Shamik Tiwari
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Open Access | Times Cited: 12
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 unveiled: Cutting-edge multi-modal neuroimaging and computational methods for enhanced diagnosis
Tariq Mahmood, Amjad Rehman, Tanzila Saba, et al.
Biomedical Signal Processing and Control (2024) Vol. 97, pp. 106721-106721
Closed 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
Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer’s Disease Diagnosis
M Oliveira, Pedro Ribeiro, Pedro Rodrigues
Bioengineering (2024) Vol. 11, Iss. 11, pp. 1153-1153
Open Access | Times Cited: 1
A Pseudo-3d Coarse-to-Fine Architecture for 3d Medical Landmark Detection
Li Cui, Boyan Liu, Guikun Xu, et al.
(2024)
Closed 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
A sparse transformer generation network for brain imaging genetic association
Hongrui Liu, Yuanyuan Gui, Hui Lü, et al.
Pattern Recognition (2024) Vol. 156, pp. 110845-110845
Closed Access | Times Cited: 1
Unveiling Alzheimer’s Disease Early: A Comprehensive Review of Machine Learning and Imaging Techniques
Wided Hechkel, Abdelhamid Helali
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 1
Exploring the relationship among Alzheimer’s disease, aging and cognitive scores through neuroimaging-based approach
Jinhui Sun, Jing‐Dong J. Han, Weiyang Chen
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Ensemble Transfer Learning for Distinguishing Cognitively Normal and Mild Cognitive Impairment Patients Using MRI
Pratham Grover, Kunal Chaturvedi, Xing Zi, et al.
Algorithms (2023) Vol. 16, Iss. 8, pp. 377-377
Open Access | Times Cited: 3
Large Language Models Improve Alzheimer's Disease Diagnosis Using Multi-Modality Data
Yingjie Feng, Xiaoyin Xu, Yueting Zhuang, et al.
(2023), pp. 61-66
Open Access | Times Cited: 3
Multi-modal Semi-supervised Evidential Recycle Framework for Alzheimer’s Disease Classification
Yingjie Feng, Wei Chen, Xianfeng Gu, et al.
Lecture notes in computer science (2023), pp. 130-140
Closed Access | Times Cited: 2
ProStructNet: Integration of Protein Sequence and Structure for the Prediction of Multi-label Subcellular Localization
Haopeng Shi, Xiankun Zhang, Qingxu Deng
Lecture notes in computer science (2024), pp. 326-336
Closed Access
Hyperspectral remote sensing image classification based on enhanced pseudo 3D features and salient band selection
Ningyang Li, Zhaohui Wang, Lei Wang
Research Square (Research Square) (2024)
Open Access
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