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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 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: 49

Showing 1-25 of 49 citing articles:

POSREG: proteomic signature discovered by simultaneously optimizing its reproducibility and generalizability
Fengcheng Li, Ying Zhou, Ying Zhang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 98
Early diagnosis of Alzheimer's disease based on deep learning: A systematic review
Sina Fathi, Maryam Ahmadi, Afsaneh Dehnad
Computers in Biology and Medicine (2022) Vol. 146, pp. 105634-105634
Closed Access | Times Cited: 72
Survey on Multi-omics, and Multi-omics Data Analysis, Integration and Application
Mohamad Hesam Shahrajabian, Wenli Sun
Current Pharmaceutical Analysis (2023) Vol. 19, Iss. 4, pp. 267-281
Closed Access | Times Cited: 53
XGBoost-SHAP-based interpretable diagnostic framework for alzheimer’s disease
Fuliang Yi, Hui Yang, Durong Chen, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 52
Revolutionary Point‐of‐Care Wearable Diagnostics for Early Disease Detection and Biomarker Discovery through Intelligent Technologies
Fatemeh Haghayegh, Alireza Norouziazad, Elnaz Haghani, et al.
Advanced Science (2024)
Open Access | Times Cited: 18
ConSIG: consistent discovery of molecular signature from OMIC data
Fengcheng Li, Jiayi Yin, Mingkun Lu, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Closed Access | Times Cited: 59
Applications of multi-omics techniques to unravel the fermentation process and the flavor formation mechanism in fermented foods
Linfeng Wen, Lixin Yang, Cong Chen, et al.
Critical Reviews in Food Science and Nutrition (2023) Vol. 64, Iss. 23, pp. 8367-8383
Closed Access | Times Cited: 27
Understanding machine learning applications in dementia research and clinical practice: a review for biomedical scientists and clinicians
Yihan Wang, Shu Liu, Alanna G. Spiteri, et al.
Alzheimer s Research & Therapy (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 8
Computational frameworks integrating deep learning and statistical models in mining multimodal omics data
Leann Lac, Carson K. Leung, Pingzhao Hu
Journal of Biomedical Informatics (2024) Vol. 152, pp. 104629-104629
Open Access | Times Cited: 7
Combining machine learning with a pharmaceutical technology roadmap to analyze technological innovation opportunities
Lijie Feng, Weiyu Zhao, Jinfeng Wang, et al.
Computers & Industrial Engineering (2023) Vol. 176, pp. 108974-108974
Closed Access | Times Cited: 14
A comprehensive study on epigenetic biomarkers in early detection and prognosis of Alzheimer's disease
Dhruv Parikh, Manan Shah
Deleted Journal (2024) Vol. 1, Iss. 2, pp. 138-153
Open Access | Times Cited: 5
Neuropsychiatric Symptoms and Commonly Used Biomarkers of Alzheimer’s Disease: A Literature Review from a Machine Learning Perspective
Jay Shah, Md Mahfuzur Rahman Siddiquee, Janina Krell‐Roesch, et al.
Journal of Alzheimer s Disease (2023) Vol. 92, Iss. 4, pp. 1131-1146
Open Access | Times Cited: 12
From Genes to Metabolites: HSP90B1’s Role in Alzheimer’s Disease and Potential for Therapeutic Intervention
Cheng Huang, Ying Liu, Shuxin Wang, et al.
NeuroMolecular Medicine (2025) Vol. 27, Iss. 1
Closed Access
Comparison of Deep Learning and Traditional Machine Learning Models for Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers
Kesheng Wang, Donald Adjeroh, Wei Fang, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 6, pp. 2428-2428
Open Access
AI‐Assisted Plasmonic Diagnostics Platform for Osteoarthritis and Rheumatoid Arthritis With Biomarker Quantification Using Mathematical Models
Buyeon Heo, Vo Thi Nhat Linh, Jun-Young Yang, et al.
Small (2025)
Open Access
Role of non‑coding RNAs as biomarkers and the application of omics technologies in Alzheimer's disease (Review)
Katerina Pierouli, Eleni Papakonstantinou, Louis Papageorgiou, et al.
International Journal of Molecular Medicine (2022) Vol. 51, Iss. 1
Open Access | Times Cited: 18
Deep learning analysis of UPLC-MS/MS-based metabolomics data to predict Alzheimer's disease
Kesheng Wang, Laurie A. Theeke, Christopher Liao, et al.
Journal of the Neurological Sciences (2023) Vol. 453, pp. 120812-120812
Open Access | Times Cited: 9
Biomarkers and molecular endotypes of sarcoidosis: lessons from omics and non-omics studies
Hong‐Long Ji, Nan Mile S. Xi, Chandra Mohan, et al.
Frontiers in Immunology (2024) Vol. 14
Open Access | Times Cited: 3
Integrative approach of omics and imaging data to discover new insights for understanding brain diseases
Jong Hyuk Yoon, Hagyeong Lee, Dayoung Kwon, et al.
Brain Communications (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 3
Multi-modal intermediate integrative methods in neuropsychiatric disorders: A review
Yanlin Wang, Shi Tang, Ruimin Ma, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 6149-6162
Open Access | Times Cited: 15
GCN-GENE: A novel method for prediction of coronary heart disease-related genes
Tong Zhang, Yixuan Lin, Wei‐Min He, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 105918-105918
Closed Access | Times Cited: 13
New Drug Design Avenues Targeting Alzheimer’s Disease by Pharmacoinformatics-Aided Tools
Lily Arrué, Alexandra Cigna-Méndez, Tábata Barbosa, et al.
Pharmaceutics (2022) Vol. 14, Iss. 9, pp. 1914-1914
Open Access | Times Cited: 11
DDK-Linker: a network-based strategy identifies disease signals by linking high-throughput omics datasets to disease knowledge
Xiangren Kong, Lihong Diao, Peng Jiang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 2
Paradigm shift required for translational research on the brain
Jong Hyuk Yoon, Dongha Lee, Chany Lee, et al.
Experimental & Molecular Medicine (2024) Vol. 56, Iss. 5, pp. 1043-1054
Open Access | Times Cited: 2
Machine Learning Approaches for Measuring Neighborhood Environments in Epidemiologic Studies
Andrew Rundle, Michael D. M. Bader, Stephen J. Mooney
Current Epidemiology Reports (2022) Vol. 9, Iss. 3, pp. 175-182
Open Access | Times Cited: 9
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