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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-modality approaches for medical support systems: A systematic review of the last decade
Massimo Salvi, Hui Wen Loh, Silvia Seoni, et al.
Information Fusion (2023) Vol. 103, pp. 102134-102134
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

A multi-scale information fusion-based multiple correlations for unsupervised attribute selection
Pengfei Zhang, Dexian Wang, Zheng Yu, et al.
Information Fusion (2024) Vol. 106, pp. 102276-102276
Closed Access | Times Cited: 22
All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems
Silvia Seoni, Alen Shahini, Kristen M. Meiburger, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 250, pp. 108200-108200
Open Access | Times Cited: 19
An overview of methods and techniques in multimodal data fusion with application to healthcare
Siwar Chaabene, Amal Boudaya, Bassem Bouaziz, et al.
International Journal of Data Science and Analytics (2025)
Closed Access | Times Cited: 2
From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?
Guangming Huang, Yingya Li, Shoaib Jameel, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 24, pp. 362-373
Open Access | Times Cited: 11
A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification
Fatima-Zahrae Nakach, Ali Idri, Evgin Göçeri
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 11
Review of multimodal machine learning approaches in healthcare
Felix H. Krones, Umar Marikkar, Guy Parsons, et al.
Information Fusion (2024), pp. 102690-102690
Open Access | Times Cited: 10
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
Anirudh Atmakuru, Subrata Chakraborty, Oliver Faust, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124665-124665
Closed Access | Times Cited: 9
Automated anxiety detection using probabilistic binary pattern with ECG signals
Mehmet Bayğın, Prabal Datta Barua, Şengül Doğan, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 247, pp. 108076-108076
Closed Access | Times Cited: 8
Issues and Limitations on the Road to Fair and Inclusive AI Solutions for Biomedical Challenges
Oliver Faust, Massimo Salvi, Prabal Datta Barua, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 205-205
Open Access | Times Cited: 1
DAC-GCN: A Dual Actor-Critic Graph Convolutional Network with Multi-Hop Aggregation for Enhanced Recommender Systems
Gholamreza Zare, Nima Jafari Navimipour, Mehdi Hosseinzadeh, et al.
Acta Informatica Pragensia (2025)
Open Access | Times Cited: 1
A Hybrid Deep Spatiotemporal Attention‐Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals
Niloufar Delfan, M R Shahsavari, Sadiq Hussain, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 4
Closed Access | Times Cited: 7
Interpretation of Artificial Intelligence Models in Healthcare
Ali Abbasian Ardakani, Omid Airom, Hamid Khorshidi, et al.
Journal of Ultrasound in Medicine (2024) Vol. 43, Iss. 10, pp. 1789-1818
Closed Access | Times Cited: 5
SFGCN: Synergetic Fusion-based Graph Convolutional Networks Approach for Link Prediction in Social Networks
Sang-Woong Lee, Jawad Tanveer, Amir Masoud Rahmani, et al.
Information Fusion (2024) Vol. 114, pp. 102684-102684
Closed Access | Times Cited: 5
A review of aquaculture: From single modality analysis to multimodality fusion
Wanchao Li, Zhuangzhuang Du, Xianbao Xu, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109367-109367
Closed Access | Times Cited: 5
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
Massimo Salvi, Madhav R. Acharya, Silvia Seoni, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 3
Closed Access | Times Cited: 4
Multi-Modal Spectroscopic Assessment of Skin Hydration
Iman M. Gidado, Ifeabunike I. Nwokoye, Iasonas F. Triantis, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1419-1419
Open Access | Times Cited: 4
Decoding Schizophrenia: How AI-Enhanced fMRI Unlocks New Pathways for Precision Psychiatry
Valeria Di Stefano, Martina D’Angelo, Francesco Monaco, et al.
Brain Sciences (2024) Vol. 14, Iss. 12, pp. 1196-1196
Open Access | Times Cited: 4
Exploring the Potential of Convolutional Neural Networks in Classifying Alzheimer’s Stages with Multi-biomarker Approach
Mohammed Al‐Zharani, Syed Immamul Ansarullah, Gowhar Mohi ud din dar, et al.
Deleted Journal (2025) Vol. 4, Iss. 1
Open Access
Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey
L. Yan, Liangrui Pan, Yijun Peng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109972-109972
Closed Access
EHR-based prediction modelling meets multimodal deep learning: A systematic review of structured and textual data fusion methods
Ariel Soares Teles, Ivan Rodrigues de Moura, Francisco Silva, et al.
Information Fusion (2025), pp. 102981-102981
Closed Access
CardioNet+: Revolutionizing Heart Failure Diagnosis with Multi-modal Learning
Victor Adeyi, Ning Zhang, Kuyikabasi Uko, et al.
(2025)
Closed Access
A review of medical text analysis: Theory and practice
Yani Chen, Chunwu Zhang, Ruibin Bai, et al.
Information Fusion (2025), pp. 103024-103024
Closed Access
Deep multi-view clustering: A comprehensive survey of the contemporary techniques
Anal Roy Chowdhury, Avisek Gupta, Swagatam Das
Information Fusion (2025), pp. 103012-103012
Closed Access
Utilizing natural language processing for precision prevention of mental health disorders among youth: A systematic review
Sheriff Tolulope Ibrahim, Madeline Li, Jamin Patel, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109859-109859
Open Access
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare
Massimo Salvi, Silvia Seoni, Andrea Campagner, et al.
International Journal of Medical Informatics (2025) Vol. 197, pp. 105846-105846
Open Access
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