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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:

Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis
Tao Zhou, Kim‐Han Thung, Xiaofeng Zhu, et al.
Human Brain Mapping (2018) Vol. 40, Iss. 3, pp. 1001-1016
Open Access | Times Cited: 219

Showing 1-25 of 219 citing articles:

A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images
V. S. Chouhan, Sanjay Kumar Singh, Aditya Khamparia, et al.
Applied Sciences (2020) Vol. 10, Iss. 2, pp. 559-559
Open Access | Times Cited: 625
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation
Junhao Wen, Elina Thibeau‐Sutre, Mauricio Diaz-Melo, et al.
Medical Image Analysis (2020) Vol. 63, pp. 101694-101694
Open Access | Times Cited: 553
Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review
Amir Ebrahimi Ghahnavieh, Suhuai Luo, Raymond Chiong
Computer Methods and Programs in Biomedicine (2019) Vol. 187, pp. 105242-105242
Closed Access | Times Cited: 319
Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis
Tao Zhou, Huazhu Fu, Geng Chen, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 9, pp. 2772-2781
Open Access | Times Cited: 279
RGB-D salient object detection: A survey
Tao Zhou, Deng-Ping Fan, Ming–Ming Cheng, et al.
Computational Visual Media (2021) Vol. 7, Iss. 1, pp. 37-69
Open Access | Times Cited: 261
BIRNet: Brain image registration using dual-supervised fully convolutional networks
Jingfan Fan, Xiaohuan Cao, Pew‐Thian Yap, et al.
Medical Image Analysis (2019) Vol. 54, pp. 193-206
Open Access | Times Cited: 260
Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model
K. Shankar, Abdul Rahaman Wahab Sait, Deepak Gupta, et al.
Pattern Recognition Letters (2020) Vol. 133, pp. 210-216
Open Access | Times Cited: 255
Multimodal machine learning in precision health: A scoping review
Adrienne Kline, Hanyin Wang, Yikuan Li, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 216
Deep Learning Framework for Alzheimer’s Disease Diagnosis via 3D-CNN and FSBi-LSTM
Chiyu Feng, Ahmed Elazab, Peng Yang, et al.
IEEE Access (2019) Vol. 7, pp. 63605-63618
Open Access | Times Cited: 214
The promise of artificial intelligence and deep learning in PET and SPECT imaging
Hossein Arabi, Azadeh Akhavanallaf, Amirhossein Sanaat, et al.
Physica Medica (2021) Vol. 83, pp. 122-137
Open Access | Times Cited: 202
Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network
Javeria Amin, Muhammad Sharif, Nadia Gul, et al.
Pattern Recognition Letters (2019) Vol. 129, pp. 115-122
Closed Access | Times Cited: 199
Latent Representation Learning for Alzheimer’s Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data
Tao Zhou, Mingxia Liu, Kim‐Han Thung, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 38, Iss. 10, pp. 2411-2422
Open Access | Times Cited: 176
A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images
Zhiming Cui, Yu Fang, Lanzhuju Mei, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 176
Multi-Task Joint Learning Model for Segmenting and Classifying Tongue Images Using a Deep Neural Network
Qiang Xu, Yu Zeng, Wenjun Tang, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 9, pp. 2481-2489
Closed Access | Times Cited: 166
Brain tumor detection: a long short-term memory (LSTM)-based learning model
Javeria Amin, Muhammad Sharif, Mudassar Raza, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 20, pp. 15965-15973
Closed Access | Times Cited: 159
Dual Shared-Specific Multiview Subspace Clustering
Tao Zhou, Changqing Zhang, Xi Peng, et al.
IEEE Transactions on Cybernetics (2019) Vol. 50, Iss. 8, pp. 3517-3530
Closed Access | Times Cited: 148
Brain Imaging Genomics: Integrated Analysis and Machine Learning
Li Shen, Paul M. Thompson
Proceedings of the IEEE (2019) Vol. 108, Iss. 1, pp. 125-162
Open Access | Times Cited: 148
Automated MRI-Based Deep Learning Model for Detection of Alzheimer’s Disease Process
Wei Feng, Nicholas Van Halm‐Lutterodt, Hao Tang, et al.
International Journal of Neural Systems (2020) Vol. 30, Iss. 06, pp. 2050032-2050032
Closed Access | Times Cited: 148
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: 101
Modern views of machine learning for precision psychiatry
Zhe Chen, Prathamesh Kulkarni, Isaac R. Galatzer‐Levy, et al.
Patterns (2022) Vol. 3, Iss. 11, pp. 100602-100602
Open Access | Times Cited: 84
Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review
Can Cui, Haichun Yang, Yaohong Wang, et al.
Progress in Biomedical Engineering (2023) Vol. 5, Iss. 2, pp. 022001-022001
Open Access | Times Cited: 82
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
A review of deep learning-based information fusion techniques for multimodal medical image classification
Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, et al.
Computers in Biology and Medicine (2024) Vol. 177, pp. 108635-108635
Open Access | Times Cited: 20
Hyperfusion: A hypernetwork approach to multimodal integration of tabular and medical imaging data for predictive modeling
Daniel Duenias, Brennan Nichyporuk, Tal Arbel, et al.
Medical Image Analysis (2025) Vol. 102, pp. 103503-103503
Open Access | Times Cited: 2
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