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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:

Deep-gated recurrent unit and diet network-based genome-wide association analysis for detecting the biomarkers of Alzheimer's disease
Meiyan Huang, Haoran Lai, Yuwei Yu, et al.
Medical Image Analysis (2021) Vol. 73, pp. 102189-102189
Closed Access | Times Cited: 10

Showing 10 citing articles:

A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders
Aklima Akter Lima, M. F. Mridha, Sujoy Chandra Das, et al.
Biology (2022) Vol. 11, Iss. 3, pp. 469-469
Open Access | Times Cited: 62
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
DDFC: deep learning approach for deep feature extraction and classification of brain tumors using magnetic resonance imaging in E-healthcare system
Abdus Saboor, Jianping Li, Amin Ul Haq, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Deep multimodality-disentangled association analysis network for imaging genetics in neurodegenerative diseases
Tao Wang, Xiumei Chen, Jiawei Zhang, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102842-102842
Closed Access | Times Cited: 11
Multi-view imputation and cross-attention network based on incomplete longitudinal and multimodal data for conversion prediction of mild cognitive impairment
Tao Wang, Xiumei Chen, Xiaoling Zhang, et al.
Expert Systems with Applications (2023) Vol. 231, pp. 120761-120761
Open Access | Times Cited: 11
Structure-constrained combination-based nonlinear association analysis between incomplete multimodal imaging and genetic data for biomarker detection of neurodegenerative diseases
Xiumei Chen, Tao Wang, Haoran Lai, et al.
Medical Image Analysis (2022) Vol. 78, pp. 102419-102419
Closed Access | Times Cited: 11
Biomarkers of diagnosis, prognosis, pathogenesis, response to therapy: Convergence or divergence? Lessons from Alzheimer's disease and synucleinopathies
Stefano L. Sensi, Mirella Russo, Pietro Tiraboschi
Handbook of clinical neurology (2023), pp. 187-218
Closed Access | Times Cited: 4
A sparse transformer generation network for brain imaging genetic association
Hongrui Liu, Yuanyuan Gui, Hui Lü, et al.
Pattern Recognition (2024) Vol. 156, pp. 110845-110845
Closed Access | Times Cited: 1
An efficient stacked bidirectional GRU‐LSTM network for intracranial hemorrhage detection
Lakshmi Prasanna Kothala, Sitaramanjaneya Reddy Guntur
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 3
A Survey on Alzheimer’s Disease Prediction Using Deep Learning Algorithms
S. Jegatheeswari, Prasanth Rathinam, S. Dheenathayalan, et al.
Algorithms for intelligent systems (2023), pp. 79-95
Closed Access | Times Cited: 1
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