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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:

A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques
Santosh Kumar, Mithilesh Kumar Chaube, Saeed Hamood Alsamhi, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107109-107109
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Multi-omics integration method based on attention deep learning network for biomedical data classification
Ping Gong, Lei Cheng, Zhiyuan Zhang, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 231, pp. 107377-107377
Closed Access | Times Cited: 27
Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion
Laith Alzubaidi, Khamael Al-Dulaimi, Asma Salhi, et al.
Artificial Intelligence in Medicine (2024) Vol. 155, pp. 102935-102935
Open Access | Times Cited: 10
Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
Mohammed A. A. Al‐qaness, Jie Zhu, Dalal AL-Alimi, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3267-3301
Closed Access | Times Cited: 9
Multimodal deep learning model for Covid-19 detection
Fadilul-lah Yassaanah Issahaku, Xiangwei Liu, Ke Lu, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105906-105906
Closed Access | Times Cited: 8
A novel multimodal framework for early diagnosis and classification of COPD based on CT scan images and multivariate pulmonary respiratory diseases
Santosh Kumar, Vijesh Bhagat, Prakash Sahu, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107911-107911
Closed Access | Times Cited: 17
Machine Learning for Prediction of Cardiovascular Disease and Respiratory Disease: A Review
Gaurav Parashar, Alka Chaudhary, Dilkeshwar Pandey
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 6
Multi-modal disease segmentation with continual learning and adaptive decision fusion
Xu Xu, Junxin Chen, Dipanwita Thakur, et al.
Information Fusion (2025), pp. 102962-102962
Closed Access
Non-experimental rapid identification of lower respiratory tract infections in patients with chronic obstructive pulmonary disease using multi-label learning
Hangzhi He, Hui Zhao, Lifang Li, et al.
Computer Methods and Programs in Biomedicine (2025), pp. 108618-108618
Open Access
Voice-assisted multimodal fusion network for difficult airway assessment
Xiaofan Li, Guangchao Zhang, W. Ye, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 5
Closed Access
Exploring Deep Learning-Based Multi-modality Fusion Approaches in Classification of Lung Diseases: A Review
Gautami Shingan, Priya Ranjan
Learning and analytics in intelligent systems (2025), pp. 91-100
Closed Access
Machine Learning-Based Methods for Detecting Respiratory Abnormalities Using Audio and Visual Analysis: A Review
Sufyan Othman Zaben, Wan Mohd Nazmee Wan Zainon, Ahmad H. Sabry
Results in Engineering (2025), pp. 104744-104744
Open Access
CAMAF: Context-Aware Multimodal Alignment Framework for explainable lung disease risk stratification
Subba Rao Dusari, Nagendra Panini Challa
Expert Systems with Applications (2025), pp. 127398-127398
Closed Access
Artificial intelligence in COVID-19 research: A comprehensive survey of innovations, challenges, and future directions
Richard Annan, Letu Qingge
Computer Science Review (2025) Vol. 57, pp. 100751-100751
Closed Access
Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications
Saeed Hamood Alsamhi, Ammar Hawbani, Alexey V. Shvetsov, et al.
Advances in Human-Computer Interaction (2023) Vol. 2023, pp. 1-19
Open Access | Times Cited: 9
XRaySwinGen: Automatic medical reporting for X-ray exams with multimodal model
Gilvan Veras Magalhães, Roney Lira de Sales Santos, Luis H. S. Vogado, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e27516-e27516
Open Access | Times Cited: 3
Advancing healthcare through multimodal data fusion: a comprehensive review of techniques and applications
Jing Ru Teoh, Jian Dong, Xi‐Nian Zuo, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2298-e2298
Open Access | Times Cited: 3
Chaotic Satin Bowerbird Optimizer Based Advanced AI Techniques for Detection of COVID-19 Diseases from CT Scans Images
V. Uma Maheswari, S. Stephe, Rajanikanth Aluvalu, et al.
New Generation Computing (2024) Vol. 42, Iss. 5, pp. 1065-1087
Closed Access | Times Cited: 2
Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling
Guang Li, Ren Togo, Takahiro Ogawa, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106877-106877
Open Access | Times Cited: 6
Optimizing Knowledge Transfer in Sequential Models: Leveraging Residual Connections in Flow Transfer Learning for Lung Cancer Classification
Richa Sharma, Santosh Kumar, Abhishek Shrivastava, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 6
Air Traffic Controller Fatigue Detection Based on Facial and Vocal Features Using Long Short-Term Memory
Zhousheng Huang, Weizhen Tang, Qiqi Tian, et al.
IEEE Access (2024) Vol. 12, pp. 56663-56682
Open Access | Times Cited: 1
A Novel Framework for Constructing Multimodal Knowledge Graph from MuSe-CaR Video Reviews
Atiya Usmani, Saeed Hamood Alsamhi, John G. Breslin, et al.
(2023), pp. 323-328
Closed Access | Times Cited: 4
A Short Survey on Multimodal Data Fusion in Image Classification
Toufik Datsi, Khalid Aznag, Brahim Ait Ben Ali, et al.
(2024), pp. 1-4
Closed Access | Times Cited: 1
Optimizing Well-Being: Unveiling Eustress and Distress through Machine Learning
Ashutosh Singh, Khushdeep Singh, Amit Kumar, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024), pp. 150-154
Closed Access | Times Cited: 1
Machine Learning Algorithms for Detecting Mental Stress in College Students
Ashutosh Singh, Khushdeep Singh, Amit Kumar, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024), pp. 1-5
Closed Access | Times Cited: 1
Novel Framework for Alzheimer Early Diagnosis using Inductive Transfer Learning Techniques
Himanshu Kumar Sahu, Santosh Kumar, Saeed Hamood Alsamhi, et al.
(2022), pp. 1-7
Closed Access | Times Cited: 7
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