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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:

Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest
Xia-an Bi, Xi Hu, Hao Wu, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 10, pp. 2973-2983
Closed Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

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
Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances
Protima Khan, Md. Fazlul Kader, S. M. Riazul Islam, et al.
IEEE Access (2021) Vol. 9, pp. 37622-37655
Open Access | Times Cited: 158
Random forest swarm optimization-based for heart diseases diagnosis
Shahrokh Asadi, SeyedEhsan Roshan, Michael W. Kattan
Journal of Biomedical Informatics (2021) Vol. 115, pp. 103690-103690
Closed Access | Times Cited: 114
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
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review
Zhen Zhao, Joon Huang Chuah, Khin Wee Lai, et al.
Frontiers in Computational Neuroscience (2023) Vol. 17
Open Access | Times Cited: 63
New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson’s disease
Rohan Gupta, Smita Kumari, Anusha Senapati, et al.
Ageing Research Reviews (2023) Vol. 90, pp. 102013-102013
Closed Access | Times Cited: 53
Hybrid approaches to optimization and machine learning methods: a systematic literature review
Beatriz Flamia Azevedo, Ana Maria A. C. Rocha, Ana I. Pereira
Machine Learning (2024) Vol. 113, Iss. 7, pp. 4055-4097
Open Access | Times Cited: 50
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
Diagnosis of Alzheimer’s disease via an attention-based multi-scale convolutional neural network
Zhenbing Liu, Haoxiang Lu, Xipeng Pan, et al.
Knowledge-Based Systems (2021) Vol. 238, pp. 107942-107942
Closed Access | Times Cited: 67
Intelligent optimization framework of near zero energy consumption building performance based on a hybrid machine learning algorithm
Xianguo Wu, Zongbao Feng, Hongyu Chen, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 167, pp. 112703-112703
Closed Access | Times Cited: 46
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
A Systematic Literature Review on Multimodal Machine Learning: Applications, Challenges, Gaps and Future Directions
Arnab Barua, Mobyen Uddin Ahmed, Shahina Begum
IEEE Access (2023) Vol. 11, pp. 14804-14831
Open Access | Times Cited: 27
Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges
Shaker El–Sappagh, José M. Alonso, Tamer Abuhmed, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 10, pp. 11149-11296
Closed Access | Times Cited: 25
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
Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges
M. Tanveer, M. Sajid, Mushir Akhtar, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 10, pp. 5477-5492
Closed Access | Times Cited: 10
Predictive classification of Alzheimer’s disease using brain imaging and genetic data
Jinhua Sheng, Xin Yu, Qiao Zhang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 28
Artificial intelligence accelerates multi-modal biomedical process: A Survey
Jiajia Li, Xue Han, Yiming Qin, et al.
Neurocomputing (2023) Vol. 558, pp. 126720-126720
Closed Access | Times Cited: 19
Alzheimer’s Disease Detection from Fused PET and MRI Modalities Using an Ensemble Classifier
Amar Shukla, Rajeev Tiwari, Shamik Tiwari
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 2, pp. 512-538
Open Access | Times Cited: 17
Research of spatial context convolutional neural networks for early diagnosis of Alzheimer’s disease
Yinsheng Tong, Zuoyong Li, Hui Huang, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 4, pp. 5279-5297
Closed Access | Times Cited: 17
Alzheimer’s disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network
Baiying Lei, Yafeng Li, Wanyi Fu, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103213-103213
Closed Access | Times Cited: 7
Intelligent decision support systems for dementia care: A scoping review
Amirhossein Eslami Andargoli, Nalika Ulapane, Tuan Anh Nguyen, et al.
Artificial Intelligence in Medicine (2024) Vol. 150, pp. 102815-102815
Open Access | Times Cited: 6
Information fusion-based Bayesian optimized heterogeneous deep ensemble model based on longitudinal neuroimaging data
Nasir Rahim, Shaker El–Sappagh, Haytham Rizk, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111749-111749
Closed Access | Times Cited: 6
Identify abnormal functional connectivity of resting state networks in Autism spectrum disorder and apply to machine learning-based classification
Jiawei Sun, Rui Fan, Qing Wang, et al.
Brain Research (2021) Vol. 1757, pp. 147299-147299
Closed Access | Times Cited: 38
Plasma d-glutamate levels for detecting mild cognitive impairment and Alzheimer’s disease: Machine learning approaches
Chun-Hung Chang, Chieh‐Hsin Lin, Chieh‐Yu Liu, et al.
Journal of Psychopharmacology (2021) Vol. 35, Iss. 3, pp. 265-272
Closed Access | Times Cited: 37
Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis
Lei Du, Jin Zhang, Fang Liu, et al.
Medical Image Analysis (2021) Vol. 70, pp. 102003-102003
Open Access | Times Cited: 36
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