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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 latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data
Tao Zhou, Kim‐Han Thung, Mingxia Liu, et al.
Medical Image Analysis (2019) Vol. 60, pp. 101630-101630
Open Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

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: 257
Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer’s disease dementia: a systematic review
Sergio Grueso, Raquel Viejo-Sobera
Alzheimer s Research & Therapy (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 178
Optimized hybrid ensemble learning approaches applied to very short-term load forecasting
Marcos Yamasaki, Roberto Zanetti Freire, Laio Oriel Seman, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 155, pp. 109579-109579
Open Access | Times Cited: 82
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis
Chengjia Wang, Guang Yang, Giorgos Papanastasiou, et al.
Information Fusion (2020) Vol. 67, pp. 147-160
Open Access | Times Cited: 94
Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging
Xiaoxi Pan, Trong-Le Phan, Mouloud Adel, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 40, Iss. 1, pp. 81-92
Open Access | Times Cited: 82
Relation-Induced Multi-Modal Shared Representation Learning for Alzheimer’s Disease Diagnosis
Zhenyuan Ning, Qing Xiao, Qianjin Feng, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 6, pp. 1632-1645
Closed Access | Times Cited: 64
Two-stage deep learning model for Alzheimer’s disease detection and prediction of the mild cognitive impairment time
Shaker El–Sappagh, Hager Saleh, Farman Ali, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 17, pp. 14487-14509
Closed Access | Times Cited: 62
A Survey of Deep Learning for Alzheimer’s Disease
Qinghua Zhou, Jiaji Wang, Xiang Yu, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 2, pp. 611-668
Open Access | Times Cited: 22
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
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease
Baiying Lei, Nina Cheng, Alejandro F. Frangi, et al.
Medical Image Analysis (2020) Vol. 61, pp. 101652-101652
Open Access | Times Cited: 69
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages
Yunbi Liu, Ling Yue, Shifu Xiao, et al.
Medical Image Analysis (2021) Vol. 75, pp. 102266-102266
Open Access | Times Cited: 42
Estimating explainable Alzheimer’s disease likelihood map via clinically-guided prototype learning
Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, et al.
NeuroImage (2023) Vol. 273, pp. 120073-120073
Open Access | Times Cited: 17
Robust Deep Identification using ECG and Multimodal Biometrics for Industrial Internet of Things
Ebrahim Al Alkeem, Chan Yeob Yeun, Jae-Woong Yun, et al.
Ad Hoc Networks (2021) Vol. 121, pp. 102581-102581
Open Access | Times Cited: 37
A Survey on Classification Algorithms of Brain Images in Alzheimer’s Disease Based on Feature Extraction Techniques
Ruhul Amin Hazarika, Arnab Kumar Maji, Samarendra Nath Sur, et al.
IEEE Access (2021) Vol. 9, pp. 58503-58536
Open Access | Times Cited: 35
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images
Hailin Yue, Jin Liu, Junjian Li, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102423-102423
Closed Access | Times Cited: 26
Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer’s disease diagnosis
Zhi Chen, Yongguo Liu, Yun Zhang, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102698-102698
Open Access | Times Cited: 25
Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer’s disease
Xingyu Gao, Feng Shi, Dinggang Shen, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 110, pp. 102303-102303
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
Optimized Convolutional Fusion for Multimodal Neuroimaging in Alzheimer’s Disease Diagnosis: Enhancing Data Integration and Feature Extraction
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius
Journal of Personalized Medicine (2023) Vol. 13, Iss. 10, pp. 1496-1496
Open Access | Times Cited: 13
Discriminative latent representation harmonization of multicenter medical data
Weixiong Zhong, Jincheng Xie, Ruimeng Yang, et al.
Expert Systems with Applications (2025), pp. 126659-126659
Closed Access
Robust feature enhanced deep kernel support vector machine via low rank representation and clustering
H. B. Li, Lulu Jiang, Ernest Domanaanmwi Ganaa, et al.
Expert Systems with Applications (2025), pp. 126612-126612
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
FPGA-based implementation of classification techniques: A survey
Afef Saidi, Slim Ben Othman, Meriam Dhouibi, et al.
Integration (2021) Vol. 81, pp. 280-299
Closed Access | Times Cited: 29
Pareto Optimized Adaptive Learning with Transposed Convolution for Image Fusion Alzheimer’s Disease Classification
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius
Brain Sciences (2023) Vol. 13, Iss. 7, pp. 1045-1045
Open Access | Times Cited: 12
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