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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 model with deep analysis on a large drug network for drug classification
Chenhao Wu, Lei Chen
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 1, pp. 383-401
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Analysis and prediction of protein stability based on interaction network, gene ontology, and KEGG pathway enrichment scores
FeiMing Huang, Minfei Fu, JiaRui Li, et al.
Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (2023) Vol. 1871, Iss. 3, pp. 140889-140889
Closed Access | Times Cited: 49
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
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: 10
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
Identification of Methylation Signatures and Rules for Sarcoma Subtypes by Machine Learning Methods
Jingxin Ren, Xianchao Zhou, Wei Guo, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 14
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
Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods
Jingxin Ren, Wei Guo, Kai‐Yan Feng, et al.
Life (2022) Vol. 12, Iss. 12, pp. 1964-1964
Open Access | Times Cited: 11
Hybrid Genetic Algorithm Random Forest algorithm (HGARF) for improving the missing value Imputation in Hepatitis Medical Dataset
Pijush Dutta, Shobhandeb Paul, Gour Gopal Jana, et al.
(2023), pp. 01-05
Closed Access | Times Cited: 6
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: 6
Identification of Transcriptome Biomarkers for Severe COVID-19 with Machine Learning Methods
Xiaohong Li, Xianchao Zhou, Shi‐Jian Ding, et al.
Biomolecules (2022) Vol. 12, Iss. 12, pp. 1735-1735
Open Access | Times Cited: 8
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
Identification of COVID-19 severity biomarkers based on feature selection on single-cell RNA-Seq data of CD8+ T cells
Jian Lu, Mei Meng, Xianchao Zhou, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 7
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
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
Network Embedding: The Bridge Between Water Distribution Network Hydraulics and Machine Learning
Xiao Zhou, Shuyi Guo, Kunlun Xin, et al.
Water Research (2024) Vol. 273, pp. 123011-123011
Open Access
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