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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:

Identification of Smoking‐Associated Transcriptome Aberration in Blood with Machine Learning Methods
FeiMing Huang, Qinglan Ma, Jingxin Ren, et al.
BioMed Research International (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Identification of Genes Associated with the Impairment of Olfactory and Gustatory Functions in COVID-19 via Machine-Learning Methods
Jingxin Ren, Yuhang Zhang, Wei Guo, et al.
Life (2023) Vol. 13, Iss. 3, pp. 798-798
Open Access | Times Cited: 26
PredictEFC: a fast and efficient multi-label classifier for predicting enzyme family classes
Lei Chen, Chenyu Zhang, Jing Xu
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 10
Inferring drug-disease associations by a deep analysis on drug and disease networks
Lei Chen, Kaiyu Chen, Bo Zhou
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 8, pp. 14136-14157
Open Access | Times Cited: 16
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
Immune responses of different COVID-19 vaccination strategies by analyzing single-cell RNA sequencing data from multiple tissues using machine learning methods
Hao Li, Qinglan Ma, Jingxin Ren, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 11
Improved multi-label classifiers for predicting protein subcellular localization
Lei Chen, Ruyun Qu, Xintong Liu
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 214-236
Open Access | Times Cited: 11
PCDA-HNMP: Predicting circRNA-disease association using heterogeneous network and meta-path
Lei Chen, Xiaoyu Zhao
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 12, pp. 20553-20575
Open Access | Times Cited: 9
Patterns of Gene Expression Profiles Associated with Colorectal Cancer in Colorectal Mucosa by Using Machine Learning Methods
Jing Xin Ren, Lei Chen, Wei Guo, et al.
Combinatorial Chemistry & High Throughput Screening (2023) Vol. 27, Iss. 19, pp. 2921-2934
Closed Access | Times Cited: 9
PDATC-NCPMKL: Predicting drug's Anatomical Therapeutic Chemical (ATC) codes based on network consistency projection and multiple kernel learning
Lei Chen, Jing Xu, Zhou Yubin
Computers in Biology and Medicine (2023) Vol. 169, pp. 107862-107862
Closed Access | Times Cited: 9
Identification of key gene expression associated with quality of life after recovery from COVID-19
Jingxin Ren, Qian Gao, Xianchao Zhou, et al.
Medical & Biological Engineering & Computing (2023) Vol. 62, Iss. 4, pp. 1031-1048
Closed Access | Times Cited: 9
Identification of genes related to immune enhancement caused by heterologous ChAdOx1–BNT162b2 vaccines in lymphocytes at single-cell resolution with machine learning methods
Jing Li, FeiMing Huang, Qinglan Ma, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 7
Identification of Gene Markers Associated with COVID-19 Severity and Recovery in Different Immune Cell Subtypes
Ren Jingxin, Qian Gao, Xiao-Chao Zhou, et al.
Biology (2023) Vol. 12, Iss. 7, pp. 947-947
Open Access | Times Cited: 5
Identification of dynamic gene expression profiles during sequential vaccination with ChAdOx1/BNT162b2 using machine learning methods
Jing Li, Jingxin Ren, HuiPing Liao, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 4
A GraphSAGE-based model with fingerprints only to predict drug-drug interactions
Bo Zhou, Bing Ran, Lei Chen
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 2, pp. 2922-2942
Open Access | Times Cited: 1
Machine Learning Reveals Impacts of Smoking on Gene Profiles of Different Cell Types in Lung
Qinglan Ma, Yulong Shen, Wei Guo, et al.
Life (2024) Vol. 14, Iss. 4, pp. 502-502
Open Access | Times Cited: 1
Characterization of chromatin accessibility patterns in different mouse cell types using machine learning methods at single-cell resolution
Yaochen Xu, FeiMing Huang, Wei Guo, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 3
Identification of Whole-Blood DNA Methylation Signatures and Rules Associated with COVID-19 Severity
Fei Yuan, Jingxin Ren, HuiPing Liao, et al.
Frontiers in Bioscience-Landmark (2023) Vol. 28, Iss. 11, pp. 284-284
Open Access | Times Cited: 3
Using Machine Learning Methods in Identifying Genes Associated with COVID-19 in Cardiomyocytes and Cardiac Vascular Endothelial Cells
Yaochen Xu, Qinglan Ma, Jingxin Ren, et al.
Life (2023) Vol. 13, Iss. 4, pp. 1011-1011
Open Access | Times Cited: 2
Identification of Phase-Separation-Protein-Related Function Based on Gene Ontology by Using Machine Learning Methods
Qinglan Ma, FeiMing Huang, Wei Guo, et al.
Life (2023) Vol. 13, Iss. 6, pp. 1306-1306
Open Access | Times Cited: 2
Machine Learning Classification of Time since BNT162b2 COVID-19 Vaccination Based on Array-Measured Antibody Activity
MA Qing-lan, Huang Fei-ming, Wei Guo, et al.
Life (2023) Vol. 13, Iss. 6, pp. 1304-1304
Open Access | Times Cited: 2
Analyzing domain features of small proteins using a machine‐learning method
Shi‐Jian Ding, HuiPing Liao, FeiMing Huang, et al.
PROTEOMICS (2024) Vol. 24, Iss. 16
Closed Access
Exploring Prognostic Gene Factors in Breast Cancer via Machine Learning
Qinglan Ma, Lei Chen, Kai‐Yan Feng, et al.
Biochemical Genetics (2024) Vol. 62, Iss. 6, pp. 5022-5050
Closed Access
Machine Learning in Identifying Marker Genes for Congenital Heart Diseases of Different Cardiac Cell Types
Qinglan Ma, Yuhang Zhang, Wei Guo, et al.
Life (2024) Vol. 14, Iss. 8, pp. 1032-1032
Open Access
Identification of gene and protein signatures associated with long-term effects of COVID-19 on the immune system after patient recovery by analyzing single-cell multi-omics data using a machine learning approach
Jingxin Ren, Qian Gao, Xianchao Zhou, et al.
Vaccine (2024) Vol. 42, Iss. 23, pp. 126253-126253
Closed Access
Prediction of Solubility of Proteins in Escherichia coli Based on Functional and Structural Features Using Machine Learning Methods
FeiMing Huang, Qian Gao, Xianchao Zhou, et al.
The Protein Journal (2024) Vol. 43, Iss. 5, pp. 983-996
Closed Access
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