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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 AD classification via self-paced latent correlation analysis
Qi Zhu, Ning Yuan, Jiashuang Huang, et al.
Neurocomputing (2019) Vol. 355, pp. 143-154
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Multi-modal data Alzheimer’s disease detection based on 3D convolution
Zhaokai Kong, Mengyi Zhang, Wenjun Zhu, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103565-103565
Closed Access | Times Cited: 71
Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer’s Disease
Qiankun Zuo, Huisi Wu, C. L. Philip Chen, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 6, pp. 3652-3665
Closed Access | Times Cited: 36
An Effective Multimodal Image Fusion Method Using MRI and PET for Alzheimer's Disease Diagnosis
Juan Song, Jian Zheng, Ping Li, et al.
Frontiers in Digital Health (2021) Vol. 3
Open Access | Times Cited: 85
Multi-scale enhanced graph convolutional network for mild cognitive impairment detection
Baiying Lei, Yun Zhu, Shuangzhi Yu, et al.
Pattern Recognition (2022) Vol. 134, pp. 109106-109106
Closed Access | Times Cited: 44
A systematic literature review on the significance of deep learning and machine learning in predicting Alzheimer's disease
Arshdeep Kaur, Meenakshi Mittal, Jasvinder Singh Bhatti, et al.
Artificial Intelligence in Medicine (2024) Vol. 154, pp. 102928-102928
Closed Access | Times Cited: 13
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
Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer’s Disease Diagnosis
Qi Zhu, Bingliang Xu, Jiashuang Huang, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 5, pp. 1472-1483
Closed Access | Times Cited: 32
Real-time gait biometrics for surveillance applications: A review
Anubha Parashar, Apoorva Parashar, Andrea F. Abate, et al.
Image and Vision Computing (2023) Vol. 138, pp. 104784-104784
Closed Access | Times Cited: 20
Multimodal predictive classification of Alzheimer's disease based on attention‐combined fusion network: Integrated neuroimaging modalities and medical examination data
Hui Chen, Huiru Guo, Longqiang Xing, et al.
IET Image Processing (2023) Vol. 17, Iss. 11, pp. 3153-3164
Open Access | Times Cited: 17
Early diagnosis model of Alzheimer’s disease based on sparse logistic regression with the generalized elastic net
Ruyi Xiao, Xinchun Cui, Hong Qiao, et al.
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102362-102362
Closed Access | Times Cited: 39
Federated Domain Adaptation via Transformer for Multi-Site Alzheimer’s Disease Diagnosis
Baiying Lei, Yun Zhu, Enmin Liang, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 12, pp. 3651-3664
Closed Access | Times Cited: 15
Advancements in artificial intelligence for biometrics: A deep dive into model-based gait recognition techniques
Anubha Parashar, Apoorva Parashar, Mohammad Shabaz, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107712-107712
Closed Access | Times Cited: 13
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer’s Disease Prediction
Qiankun Zuo, Baiying Lei, Yanyan Shen, et al.
Lecture notes in computer science (2021), pp. 479-490
Closed Access | Times Cited: 26
Multimodal Self-Paced Locality-Preserving Learning for Diagnosis of Alzheimer’s Disease
Xiaoke Hao, Ruxue Wang, Yingchun Guo, et al.
IEEE Transactions on Cognitive and Developmental Systems (2022) Vol. 15, Iss. 2, pp. 832-843
Closed Access | Times Cited: 16
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
Pyramid-attentive GAN for multimodal brain image complementation in Alzheimer’s disease classification
Mengyi Zhang, Lijing Sun, Zhaokai Kong, et al.
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105652-105652
Closed Access | Times Cited: 8
Discriminative margin-sensitive autoencoder for collective multi-view disease analysis
Zheng Zhang, Qi Zhu, Guo-Sen Xie, et al.
Neural Networks (2019) Vol. 123, pp. 94-107
Closed Access | Times Cited: 23
Synthesis and evaluation of curcumin-based near-infrared fluorescent probes for detection of amyloid β peptide in Alzheimer mouse models
Li Li, Fengting Xiang, Luyang Yao, et al.
Bioorganic & Medicinal Chemistry (2023) Vol. 92, pp. 117410-117410
Closed Access | Times Cited: 6
Pathogenic Factors Identification of Brain Imaging and Gene in Late Mild Cognitive Impairment
Xia-an Bi, Lou Li, Rui-Hui Xu, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 3, pp. 511-520
Closed Access | Times Cited: 15
Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease
Xuegang Song, Alejandro F. Frangi, Xiaohua Xiao, et al.
Lecture notes in computer science (2020), pp. 124-133
Closed Access | Times Cited: 12
Multi-Label Local to Global Learning: A Novel Learning Paradigm for Chest X-Ray Abnormality Classification
Z C Liu, Yuanzhi Cheng, Shinichi Tamura
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 9, pp. 4409-4420
Closed Access | Times Cited: 4
Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal Data
Tian-Ru Wu, Cui-Na Jiao, Xinchun Cui, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3513-3522
Closed Access | Times Cited: 1
Deep-gated recurrent unit and diet network-based genome-wide association analysis for detecting the biomarkers of Alzheimer's disease
Meiyan Huang, Haoran Lai, Yuwei Yu, et al.
Medical Image Analysis (2021) Vol. 73, pp. 102189-102189
Closed Access | Times Cited: 10
Improving model robustness via enhanced feature representation and sample distribution based on cascaded classifiers for computer-aided diagnosis of brain disease
Chunying Pang, Yu Zhang, Zeyu Xue, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104047-104047
Closed Access | Times Cited: 5
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images
Qi Zhu, Yuze Zhou, Yuan Yao, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 3, pp. 887-899
Closed Access | Times Cited: 5
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