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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 comparison of machine learning classifiers for dementia with Lewy bodies using miRNA expression data
Daichi Shigemizu, Shintaro Akiyama, Yuya Asanomi, et al.
BMC Medical Genomics (2019) Vol. 12, Iss. 1
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

MicroRNA-22-3p ameliorates Alzheimer’s disease by targeting SOX9 through the NF-κB signaling pathway in the hippocampus
Pengcheng Xia, Jing Chen, Yingchao Liu, et al.
Journal of Neuroinflammation (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 42
Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer’s disease created by integrative analysis of multi-omics data
Daichi Shigemizu, Shintaro Akiyama, Sayuri Higaki, et al.
Alzheimer s Research & Therapy (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 51
A review on omics-based biomarkers discovery for Alzheimer's disease from the bioinformatics perspectives: Statistical approach vs machine learning approach
Mei Sze Tan, Phaik‐Leng Cheah, Ai‐Vyrn Chin, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104947-104947
Closed Access | Times Cited: 48
Machine learning for the detection and diagnosis of cognitive impairment in Parkinson’s Disease: A systematic review
Callum Altham, Huaizhong Zhang, Ella Pereira
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0303644-e0303644
Open Access | Times Cited: 7
Breaking barriers: a statistical and machine learning-based hybrid system for predicting dementia
Ashir Javeed, Peter Anderberg, Ahmad Nauman Ghazi, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 11
Open Access | Times Cited: 6
A deep learning method to more accurately recall known lysine acetylation sites
Meiqi Wu, Yingxi Yang, Hui Wang, et al.
BMC Bioinformatics (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 49
MicroRNA Networks in Cognition and Dementia
Grace S. Blount, Layton Coursey, Jannet Kocerha
Cells (2022) Vol. 11, Iss. 12, pp. 1882-1882
Open Access | Times Cited: 27
Artificial intelligence for dementia research methods optimization
Magda Bucholc, Charlotte James, Ahmad Al Khleifat, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5934-5951
Open Access | Times Cited: 15
Alzheimer’s disease may develop from changes in the immune system, cell cycle, and protein processing following alterations in ribosome function
Akiko Yamakawa, Mutsumi Suganuma, Risa Mitsumori, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Machine learning uncovers novel sex-specific dementia biomarkers linked to autism and eye diseases
Ayub Khan, Ali R. Ghasemi, Krista K. Ingram, et al.
Journal of Alzheimer s Disease Reports (2025) Vol. 9
Open Access
A review of AI-based radiogenomics in neurodegenerative disease
Huanjing Liu, Xiaohong Zhang, Qian Liu
Frontiers in Big Data (2025) Vol. 8
Open Access
miRNA-Based Diagnosis of Schizophrenia Using Machine Learning
Vishrut Heda, S. Dogra, Valentina L. Kouznetsova, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 5, pp. 2280-2280
Open Access
Analysis of Serum miRNAs in Alzheimer’s Disease
Lu Liu, Wen-Zhuo Dai, Xi-Chen Zhu, et al.
American Journal of Alzheimer s Disease & Other Dementias® (2021) Vol. 36
Open Access | Times Cited: 32
Random Forest Model in the Diagnosis of Dementia Patients with Normal Mini-Mental State Examination Scores
Jie Wang, Zhuo Wang, Ning Liu, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 1, pp. 37-37
Open Access | Times Cited: 19
Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis
Wenhao Qi, Xiaohong Zhu, Danni He, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e57830-e57830
Open Access | Times Cited: 3
Identifying Key MicroRNA Signatures for Neurodegenerative Diseases With Machine Learning Methods
Zhandong Li, Wei Guo, Shi‐Jian Ding, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 15
Unearthing of Key Genes Driving the Pathogenesis of Alzheimer’s Disease via Bioinformatics
Xingxing Zhao, Hongmei Yao, Xinyi Li
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 17
Dementia subtype prediction models constructed by penalized regression methods for multiclass classification using serum microRNA expression data
Yuya Asanomi, Daichi Shigemizu, Shintaro Akiyama, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 13
Usefulness of candidate mRNAs and miRNAs as biomarkers for mild cognitive impairment and Alzheimer’s disease
Hongyun Qin, Chengping Hu, Xudong Zhao, et al.
International Journal of Neuroscience (2021) Vol. 133, Iss. 1, pp. 89-102
Closed Access | Times Cited: 11
Artificial Intelligence Identifies an Urgent Need for Peripheral Vascular Intervention by Multiplexing Standard Clinical Parameters
Kristina Sonnenschein, Stevan D. Stojanović, Nicholas Dickel, et al.
Biomedicines (2021) Vol. 9, Iss. 10, pp. 1456-1456
Open Access | Times Cited: 10
Identification of miRNA and Their Regulatory Effects Induced by Total Flavonoids From Dracocephalum moldavica in the Treatment of Vascular Dementia
Mimin Liu, Guangzhi Shan, Hailun Jiang, et al.
Frontiers in Pharmacology (2021) Vol. 12
Open Access | Times Cited: 10
Use of Patient-Reported Symptoms from an Online Symptom Tracking Tool for Dementia Severity Staging: Development and Validation of a Machine Learning Approach
Aaqib Shehzad, Kenneth Rockwood, Justin Stanley, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 11, pp. e20840-e20840
Open Access | Times Cited: 10
Decoding the role of coiled-coil motifs in human prion-like proteins
Molood Behbahanipour, Javier García‐Pardo, Salvador Ventura
Prion (2021) Vol. 15, Iss. 1, pp. 143-154
Open Access | Times Cited: 9
Precision machine learning to understand micro-RNA regulation in neurodegenerative diseases
Lucile Mégret, Cloé Mendoza, M. Arrieta, et al.
Frontiers in Molecular Neuroscience (2022) Vol. 15
Open Access | Times Cited: 4
The Use of Machine Learning in MicroRNA Diagnostics: Current Perspectives
Chrysanthos D. Christou, Angelos C. Mitsas, Ioannis Vlachavas, et al.
MicroRNA (2022) Vol. 11, Iss. 3, pp. 175-184
Closed Access | Times Cited: 3
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