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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:

eHSCPr discriminating the cell identity involved in endothelial to hematopoietic transition
Hao Wang, Pengfei Liang, Lei Zheng, et al.
Bioinformatics (2021) Vol. 37, Iss. 15, pp. 2157-2164
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A First Computational Frame for Recognizing Heparin-Binding Protein
Wen Zhu, Shi-Shi Yuan, Jian Li, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2465-2465
Open Access | Times Cited: 66
Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design
Hao Lv, Lei Shi, Joshua William Berkenpas, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 84
Artificial Intelligence in battling infectious diseases: A transformative role
Chunhui Li, Guoguo Ye, Yinghan Jiang, et al.
Journal of Medical Virology (2024) Vol. 96, Iss. 1
Closed Access | Times Cited: 8
An increment of diversity method for cell state trajectory inference of time-series scRNA-seq data
Yan Hong, Hanshuang Li, Chunshen Long, et al.
Fundamental Research (2024) Vol. 4, Iss. 4, pp. 770-776
Open Access | Times Cited: 8
Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli
Hasan Zulfiqar, Zi‐Jie Sun, Qin-Lai Huang, et al.
Methods (2021) Vol. 203, pp. 558-563
Closed Access | Times Cited: 53
Application of Machine Learning for Drug–Target Interaction Prediction
Lei Xu, Xiaoqing Ru, Rong Song
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 50
Identification of cyclin protein using gradient boost decision tree algorithm
Hasan Zulfiqar, Shi-Shi Yuan, Qin-Lai Huang, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 4123-4131
Open Access | Times Cited: 50
RFhy-m2G: Identification of RNA N2-methylguanosine modification sites based on random forest and hybrid features
Chunyan Ao, Quan Zou, Liang Yu
Methods (2021) Vol. 203, pp. 32-39
Closed Access | Times Cited: 43
Construction of machine learning diagnostic models for cardiovascular pan-disease based on blood routine and biochemical detection data
Zhicheng Wang, Ying Gu, Lindan Huang, et al.
Cardiovascular Diabetology (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 6
Identify DNA-Binding Proteins Through the Extreme Gradient Boosting Algorithm
Ziye Zhao, Wen Yang, Yixiao Zhai, et al.
Frontiers in Genetics (2022) Vol. 12
Open Access | Times Cited: 25
A computational framework of routine test data for the cost-effective chronic disease prediction
Mingzhu Liu, Jianzhong Zhou, Qilemuge Xi, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 14
Alternative splicing dynamics during gastrulation in mouse embryo
Wei Wang, Yu Zhang, Yuanyuan Zhai, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A random forest-based metabolic risk model to assess the prognosis and metabolism-related drug targets in ovarian cancer
Haoxin Zhang, Chi Meng, Dongqing Su, et al.
Computers in Biology and Medicine (2022) Vol. 153, pp. 106432-106432
Closed Access | Times Cited: 20
PhytoCluster: a generative deep learning model for clustering plant single-cell RNA-seq data
Haolin Wang, Xiangzheng Fu, Lijia Liu, et al.
aBIOTECH (2025)
Open Access
Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods
Hasan Zulfiqar, Zhiling Guo, Bakanina Kissanga Grace-Mercure, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2253-2261
Open Access | Times Cited: 10
PlantMine: A Machine-Learning Framework to Detect Core SNPs in Rice Genomics
Kai Tong, Xiaojing Chen, Shen Yan, et al.
Genes (2024) Vol. 15, Iss. 5, pp. 603-603
Open Access | Times Cited: 3
WGBS combined with RNA-seq analysis revealed that Dnmt1 affects the methylation modification and gene expression changes during mouse oocyte vitrification
Yuzhen Ma, Chunshen Long, Gang Liu, et al.
Theriogenology (2021) Vol. 177, pp. 11-21
Open Access | Times Cited: 20
CFNCM: Collaborative filtering neighborhood-based model for predicting miRNA-disease associations
Biffon Manyura Momanyi, Hasan Zulfiqar, Bakanina Kissanga Grace-Mercure, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107165-107165
Closed Access | Times Cited: 8
NRTPredictor: identifying rice root cell state in single-cell RNA-seq via ensemble learning
Hao Wang, Yunan Lin, Shen Yan, et al.
Plant Methods (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 8
BDselect: A Package for k-mer Selection Based on the Binomial Distribution
Fanny Dao, Hao Lv, Zhao‐Yue Zhang, et al.
Current Bioinformatics (2021) Vol. 17, Iss. 3, pp. 238-244
Closed Access | Times Cited: 18
Identification of Key lncRNAs Associated with Immune Infiltration and Prognosis in Gastric Cancer
Wen Jin, Jianchao Jia, Yangming Si, et al.
Biochemical Genetics (2024)
Closed Access | Times Cited: 2
The prediction of Recombination Hotspot Based on Automated Machine Learning
Dong-Xin Ye, Jun-Wen Yu, Rui Li, et al.
Journal of Molecular Biology (2024), pp. 168653-168653
Closed Access | Times Cited: 2
Feature-scML: An Open-source Python Package for the Feature Importance Visualization of Single-Cell Omics with Machine Learning
Pengfei Liang, Hao Wang, Yuchao Liang, et al.
Current Bioinformatics (2022) Vol. 17, Iss. 7, pp. 578-585
Closed Access | Times Cited: 9
Integrating reduced amino acid composition into PSSM for improving copper ion-binding protein prediction
Shanghua Liu, Yuchao Liang, Jinzhao Li, et al.
International Journal of Biological Macromolecules (2023) Vol. 244, pp. 124993-124993
Closed Access | Times Cited: 5
Computational identification of promoters in Klebsiella aerogenes by using support vector machine
Yan Lin, Meili Sun, Junjie Zhang, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 3
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