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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 review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics
Muhammad Adeel Azam, Khan Bahadar Khan, Sana Salahuddin, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105253-105253
Closed Access | Times Cited: 200

Showing 1-25 of 200 citing articles:

Artificial intelligence-based methods for fusion of electronic health records and imaging data
Farida Mohsen, Hazrat Ali, Nady El Hajj, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 82
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 78
A systematic review of data fusion techniques for optimized structural health monitoring
Sahar Hassani, Ulrike Dackermann, Mohsen Mousavi, et al.
Information Fusion (2023) Vol. 103, pp. 102136-102136
Open Access | Times Cited: 46
Explainable Deep-Learning-Based Diagnosis of Alzheimer’s Disease Using Multimodal Input Fusion of PET and MRI Images
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Journal of Medical and Biological Engineering (2023) Vol. 43, Iss. 3, pp. 291-302
Open Access | Times Cited: 40
Deep learning based multimodal biomedical data fusion: An overview and comparative review
Junwei Duan, Jiaqi Xiong, Yinghui Li, et al.
Information Fusion (2024) Vol. 112, pp. 102536-102536
Closed Access | Times Cited: 28
Multimodal Machine Learning Guides Low Carbon Aeration Strategies in Urban Wastewater Treatment
Hongcheng Wang, Yuqi Wang, Xu Wang, et al.
Engineering (2024) Vol. 36, pp. 51-62
Open Access | Times Cited: 25
Tumor microenvironment responsive nanozymes for multimodal imaging of tumors
Heng Wang, Wenrui Ouyang, Hongxing Liu
Nano TransMed (2024) Vol. 3, pp. 100032-100032
Open Access | Times Cited: 20
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: 17
DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era
David Restrepo, Chenwei Wu, Constanza Vásquez-Venegas, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 14
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Information Fusion (2022) Vol. 93, pp. 85-117
Closed Access | Times Cited: 64
BrainNet: Optimal Deep Learning Feature Fusion for Brain Tumor Classification
Usman Zahid, Imran Ashraf, Muhammad Attique Khan, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 53
LCDAE: Data Augmented Ensemble Framework for Lung Cancer Classification
Zeyu Ren, Yudong Zhang, Shuihua Wang‎
Technology in Cancer Research & Treatment (2022) Vol. 21
Open Access | Times Cited: 37
Transformer Based Conditional GAN for Multimodal Image Fusion
Jun Zhang, Licheng Jiao, Wenping Ma, et al.
IEEE Transactions on Multimedia (2023) Vol. 25, pp. 8988-9001
Closed Access | Times Cited: 28
Artificial intelligence for diabetic retinopathy detection: A systematic review
Archana Senapati, Hrudaya Kumar Tripathy, Vandana Sharma, et al.
Informatics in Medicine Unlocked (2024) Vol. 45, pp. 101445-101445
Open Access | Times Cited: 13
DDCNN-F: double decker convolutional neural network 'F' feature fusion as a medical image classification framework
Nirmala Veeramani, Premaladha Jayaraman, R. Krishankumar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Shedding light on ai in radiology: A systematic review and taxonomy of eye gaze-driven interpretability in deep learning
José Neves, Chihcheng Hsieh, Isabel Blanco Nobre, et al.
European Journal of Radiology (2024) Vol. 172, pp. 111341-111341
Open Access | Times Cited: 11
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
A review of cancer data fusion methods based on deep learning
Yuxin Zhao, Xiaobo Li, Changjun Zhou, et al.
Information Fusion (2024) Vol. 108, pp. 102361-102361
Closed Access | Times Cited: 9
Multi-modal medical image fusion using improved dual-channel PCNN
A N Sinha, Rahul Agarwal, Vinay Kumar, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 9, pp. 2629-2651
Closed Access | Times Cited: 8
Deep learning on medical image analysis
Jiaji Wang, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 8
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: 8
Three-Dimensional Multi-Modality Registration for Orthopaedics and Cardiovascular Settings: State-of-the-Art and Clinical Applications
Simone Garzia, Katia Capellini, Emanuele Gasparotti, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1072-1072
Open Access | Times Cited: 7
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: 7
Multi-region radiomics for artificially intelligent diagnosis of breast cancer using multimodal ultrasound
Xu Zhou, Yuqun Wang, Man Chen, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 105920-105920
Closed Access | Times Cited: 35
ALNett: A cluster layer deep convolutional neural network for acute lymphoblastic leukemia classification
Malathy Jawahar, H Sharen, L. Jani Anbarasi, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105894-105894
Closed Access | Times Cited: 30
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