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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:

Identifying Molecular Biomarkers for Diseases With Machine Learning Based on Integrative Omics
Kai Shi, Wei Lin, Xing‐Ming Zhao
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 18, Iss. 6, pp. 2514-2525
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Machine learning-based identification of proteomic markers in colorectal cancer using UK Biobank data
S Radhakrishnan, Dipanwita Nath, Dominic Russ, et al.
Frontiers in Oncology (2025) Vol. 14
Open Access | Times Cited: 2
A Systematic Review on Biomarker Identification for Cancer Diagnosis and Prognosis in Multi-omics: From Computational Needs to Machine Learning and Deep Learning
A.P. Dhillon, Ashima Singh, Vinod K. Bhalla
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 2, pp. 917-949
Closed Access | Times Cited: 49
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data
Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 30
Machine Learning-Based Identification of Colon Cancer Candidate Diagnostics Genes
Saraswati Koppad, B. Annappa, Katrina Nash, et al.
Biology (2022) Vol. 11, Iss. 3, pp. 365-365
Open Access | Times Cited: 34
Epigenetics-Based Diagnostic and Therapeutic Strategies: Shifting the Paradigm in Prostate Cancer
Pier‐Luc Clermont
Epigenomics (2023) Vol. 15, Iss. 2, pp. 75-87
Closed Access | Times Cited: 19
Cellular transcriptional alterations of peripheral blood in Alzheimer’s disease
Liting Song, Yucheng Yang, Qihao Guo, et al.
BMC Medicine (2022) Vol. 20, Iss. 1
Open Access | Times Cited: 27
Biomarker identification and cancer survival prediction using random spatial local best cat swarm and Bayesian optimized DNN
A.P. Dhillon, Ashima Singh, Vinod K. Bhalla
Applied Soft Computing (2023) Vol. 146, pp. 110649-110649
Closed Access | Times Cited: 15
CeDR Atlas: a knowledgebase of cellular drug response
Yin‐Ying Wang, Hongen Kang, Tianyi Xu, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D1164-D1171
Open Access | Times Cited: 32
Artificial Intelligence in Forensic Medicine and Toxicology: The Future of Forensic Medicine
Toshal D Wankhade, Sundeep W Ingale, Prakash Mohite, et al.
Cureus (2022)
Open Access | Times Cited: 21
Identification of key genes associated with persistent immune changes and secondary immune activation responses induced by influenza vaccination after COVID-19 recovery by machine learning methods
Jingxin Ren, Xianchao Zhou, Ke Huang, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107883-107883
Closed Access | Times Cited: 12
Gene prioritization for cancer module identification
Ihtiram Raza Khan, Anil Kumar, Nihar Ranjan Nayak, et al.
Elsevier eBooks (2025), pp. 45-58
Closed Access
From Omics Data to Candidate Genes: An Innovative Machine Learning Approach for Biomarker Identification
Ana Duarte, Orlando Belo
Lecture notes in computer science (2025), pp. 270-278
Closed Access
Design of an Iterative Method for Integrating Multi-omic Data and Clinical Insights in Brain Disease Research
Aditi R. Durge, Deepti D. Shrimankar, Sony K. Ahuja
Lecture notes in computer science (2025), pp. 181-193
Closed Access
Biomarker Isolation and Characterization by Recent Spectroscopic Techniques
Shiva Biswas, Arti Sharma, Neetu Pandey, et al.
Advances in chemical and materials engineering book series (2025), pp. 255-294
Closed Access
Deep Learning‐Based Multiomics Data Integration Methods for Biomedical Application
Yuqi Wen, Linyi Zheng, Dongjin Leng, et al.
Advanced Intelligent Systems (2023) Vol. 5, Iss. 5
Open Access | Times Cited: 9
Role of Omics in Migraine Research and Management: A Narrative Review
Pragya Chaturvedi, Rahul Khan, Prachi Sahu, et al.
Molecular Neurobiology (2022) Vol. 59, Iss. 9, pp. 5809-5834
Closed Access | Times Cited: 11
Effects of Multi-Omics Characteristics on Identification of Driver Genes Using Machine Learning Algorithms
Feng Li, Xin Chu, Ling-Yun Dai, et al.
Genes (2022) Vol. 13, Iss. 5, pp. 716-716
Open Access | Times Cited: 9
Development of Epigenetic Biomarkers in Aquatic Organisms
Dafni Anastasiadi, Anne Beemelmanns
(2023), pp. 413-438
Closed Access | Times Cited: 5
LMIs-based exponential stabilization for interval delay systems via congruence transformation: Application in chaotic Lorenz system
Wei Zheng, Zhiming Zhang, Hak‐Keung Lam, et al.
Chaos Solitons & Fractals (2023) Vol. 176, pp. 114060-114060
Open Access | Times Cited: 5
Label-free and label-based electrochemical detection of disease biomarker proteins
Tias Febriana Hanifa Lestari, Irkham Irkham, Uji Pratomo, et al.
ADMET & DMPK (2024)
Open Access | Times Cited: 1
Envisioning 6G Molecular Communication for IoBNT Diagnostic Systems
Filbert H. Juwono, Regina Reine, W. K. Wong, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 10
Data-Driven Rapid Detection of Helicobacter pylori Infection Through Machine Learning with Limited Laboratory Parameters in Chinese Primary Clinics
Shiben Zhu, Xinyi Tan, He Huang, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e35586-e35586
Open Access | Times Cited: 1
C-Biomarker.net: A Cytoscape app for the identification of cancer biomarker genes from cores of large biomolecular networks
Tien-Dzung Tran, Minh-Tan Nguyen
Biosystems (2023) Vol. 226, pp. 104887-104887
Closed Access | Times Cited: 3
Information guided adaptation of complex biological systems
R. Craig Herndon
Frontiers in Complex Systems (2023) Vol. 1
Open Access | Times Cited: 2
Investigating the new orientation of wound age estimation in forensic medicine based on biological omics data combined with artificial intelligence algorithms
Kang Ren, Na Li, Xinrui Liang, et al.
(2020) Vol. 2019, pp. 54-59
Closed Access | Times Cited: 4
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