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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 deep learning for Alzheimer’s disease dementia assessment
Shangran Qiu, Matthew I. Miller, Prajakta Joshi, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 186

Showing 26-50 of 186 citing articles:

Graph-generative neural network for EEG-based epileptic seizure detection via discovery of dynamic brain functional connectivity
Zhengdao Li, Kai Hwang, Keqin Li, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 29
The promise of explainable deep learning for omics data analysis: Adding new discovery tools to AI
Mariangela Santorsola, Francesco Lescai
New Biotechnology (2023) Vol. 77, pp. 1-11
Open Access | Times Cited: 22
A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging
Mélanie Champendal, Henning Müller, John O. Prior, et al.
European Journal of Radiology (2023) Vol. 169, pp. 111159-111159
Open Access | Times Cited: 22
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: 20
Interpretable Machine Learning on Metabolomics Data Reveals Biomarkers for Parkinson’s Disease
J. Diana Zhang, Chonghua Xue, Vijaya B. Kolachalama, et al.
ACS Central Science (2023) Vol. 9, Iss. 5, pp. 1035-1045
Open Access | Times Cited: 20
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: 20
A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study
Kun Zhao, Pindong Chen, Aaron Alexander‐Bloch, et al.
EClinicalMedicine (2023) Vol. 65, pp. 102276-102276
Open Access | Times Cited: 18
Recent Advances in Therapeutics for the Treatment of Alzheimer’s Disease
Amin Mahmood Thawabteh, Aseel Wasel Ghanem, Sara AbuMadi, et al.
Molecules (2024) Vol. 29, Iss. 21, pp. 5131-5131
Open Access | Times Cited: 8
Towards a digitally connected body for holistic and continuous health insight
Philipp Gutruf
Communications Materials (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 7
Deep learning based computer aided diagnosis of Alzheimer’s disease: a snapshot of last 5 years, gaps, and future directions
Anish Bhandarkar, Pratham Naik, Kavita Vakkund, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 7
Investigating Deep Learning for Early Detection and Decision-Making in Alzheimer’s Disease: A Comprehensive Review
Ghazala Hcini, Imen Jdey, Habib Dhahri
Neural Processing Letters (2024) Vol. 56, Iss. 3
Open Access | Times Cited: 7
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
EXplainable Artificial Intelligence (XAI) – From Theory to Methods and Applications
Evandro S. Ortigossa, Thales Gonçalves, Luís Gustavo Nonato
IEEE Access (2024) Vol. 12, pp. 80799-80846
Open Access | Times Cited: 7
Perspectives on Advancing Multimodal Learning in Environmental Science and Engineering Studies
Wenjia Liu, Jingwen Chen, Haobo Wang, et al.
Environmental Science & Technology (2024)
Closed Access | Times Cited: 7
Machine learning approaches in comparative studies for Alzheimer’s diagnosis using 2D MRI slices
Zhen Zhao, Joon Huang Chuah, Chee‐Onn Chow, et al.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (2024) Vol. 32, Iss. 1, pp. 93-107
Open Access | Times Cited: 6
A review on the new age methodologies for early detection of Alzheimer's and Parkinson's disease
Nabanita Ghosh, Krishnendu Sinha, Parames C. Sil
Basic & Clinical Pharmacology & Toxicology (2024) Vol. 134, Iss. 5, pp. 602-613
Open Access | Times Cited: 6
A Review of the Recent Advances in Alzheimer’s Disease Research and the Utilization of Network Biology Approaches for Prioritizing Diagnostics and Therapeutics
Rima Hajjo, Dima A. Sabbah, Osama H. Abusara, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 2975-2975
Open Access | Times Cited: 25
A Comprehensive and Versatile Multimodal Deep‐Learning Approach for Predicting Diverse Properties of Advanced Materials
Shun Muroga, Yasuaki Miki, Kenji Hata
Advanced Science (2023) Vol. 10, Iss. 24
Open Access | Times Cited: 14
Alzheimer’s disease prediction algorithm based on de-correlation constraint and multi-modal feature interaction
Jiayuan Cheng, Huabin Wang, Shicheng Wei, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108000-108000
Open Access | Times Cited: 5
Alzheimer's disease detection using data fusion with a deep supervised encoder
Minh Trinh, Ryan Shahbaba, Craig E.L. Stark, et al.
Frontiers in Dementia (2024) Vol. 3
Open Access | Times Cited: 5
Prioritization of genes for translation: a computational approach
Simone C. da Silva Rosa, Amir Barzegar Behrooz, Sofia Guedes, et al.
Expert Review of Proteomics (2024) Vol. 21, Iss. 4, pp. 125-147
Closed Access | Times Cited: 5
Enhancing psychiatric rehabilitation outcomes through a multimodal multitask learning model based on BERT and TabNet: An approach for personalized treatment and improved decision-making
Hongyi Yang, Dian Zhu, Siyuan He, et al.
Psychiatry Research (2024) Vol. 336, pp. 115896-115896
Closed Access | Times Cited: 5
FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data
Lisa Weijler, Florian Kowarsch, Michael J. Reiter, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 7941-7949
Open Access | Times Cited: 5
Multispectral 3D DNA Machine Combined with Multimodal Machine Learning for Noninvasive Precise Diagnosis of Bladder Cancer
Na Wu, Ka‐Ying Wong, Xin Yu, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 24, pp. 10046-10055
Closed Access | Times Cited: 5
A transformer-based unified multimodal framework for Alzheimer's disease assessment
Qi Yu, Qian Ma, Lijuan Da, et al.
Computers in Biology and Medicine (2024) Vol. 180, pp. 108979-108979
Closed Access | Times Cited: 5

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