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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:

ECFS-DEA: an ensemble classifier-based feature selection for differential expression analysis on expression profiles
Xudong Zhao, Qing Jiao, Hangyu Li, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Computational identification of N6-methyladenosine sites in multiple tissues of mammals
Fanny Dao, Hao Lv, Yuhe R. Yang, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 1084-1091
Open Access | Times Cited: 84
Ensemble feature selection for stable biomarker identification and cancer classification from microarray expression data
Aiguo Wang, Huancheng Liu, Jing Yang, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105208-105208
Closed Access | Times Cited: 46
Prediction of antioxidant proteins using hybrid feature representation method and random forest
Chunyan Ao, Wenyang Zhou, Lin Gao, et al.
Genomics (2020) Vol. 112, Iss. 6, pp. 4666-4674
Closed Access | Times Cited: 63
A Method for Identifying Vesicle Transport Proteins Based on LibSVM and MRMD
Zhiyu Tao, Yanjuan Li, Zhixia Teng, et al.
Computational and Mathematical Methods in Medicine (2020) Vol. 2020, pp. 1-9
Open Access | Times Cited: 57
MK-FSVM-SVDD: A Multiple Kernel-based Fuzzy SVM Model for Predicting DNA-binding Proteins via Support Vector Data Description
Yi Zou, Hongjie Wu, Xiaoyi Guo, et al.
Current Bioinformatics (2020) Vol. 16, Iss. 2, pp. 274-283
Closed Access | Times Cited: 54
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: 51
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
Advances in the Identification of Circular RNAs and Research Into circRNAs in Human Diseases
Shihu Jiao, Song Wu, Shan Huang, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 47
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
Identifying Antioxidant Proteins by Using Amino Acid Composition and Protein-Protein Interactions
Yixiao Zhai, Yu Chen, Zhixia Teng, et al.
Frontiers in Cell and Developmental Biology (2020) Vol. 8
Open Access | Times Cited: 49
Discrimination of Thermophilic Proteins and Non-thermophilic Proteins Using Feature Dimension Reduction
Zifan Guo, Pingping Wang, Zhendong Liu, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 47
A comprehensive review of the imbalance classification of protein post-translational modifications
Lijun Dou, Fenglong Yang, Lei Xu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 37
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: 26
Recent Progress of Machine Learning in Gene Therapy
Cassandra Hunt, Sandra K. Montgomery, Joshua William Berkenpas, et al.
Current Gene Therapy (2021) Vol. 22, Iss. 2, pp. 132-143
Closed Access | Times Cited: 30
Identifying Plant Pentatricopeptide Repeat Proteins Using a Variable Selection Method
Xudong Zhao, Hanxu Wang, Hangyu Li, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 28
iGlu_AdaBoost: Identification of Lysine Glutarylation Using the AdaBoost Classifier
Lijun Dou, Xiaoling Li, Lichao Zhang, et al.
Journal of Proteome Research (2020) Vol. 20, Iss. 1, pp. 191-201
Closed Access | Times Cited: 32
Predicting Preference of Transcription Factors for Methylated DNA Using Sequence Information
Menglu Liu, Wei Su, Jia-Shu Wang, et al.
Molecular Therapy — Nucleic Acids (2020) Vol. 22, pp. 1043-1050
Open Access | Times Cited: 30
Prediction of N7-methylguanosine sites in human RNA based on optimal sequence features
Yuhe R. Yang, Chi Ma, Jia-Shu Wang, et al.
Genomics (2020) Vol. 112, Iss. 6, pp. 4342-4347
Open Access | Times Cited: 29
Identification of Diagnostic Markers for Breast Cancer Based on Differential Gene Expression and Pathway Network
Shumei Zhang, Haoran Jiang, Bo Gao, et al.
Frontiers in Cell and Developmental Biology (2022) Vol. 9
Open Access | Times Cited: 18
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: 11
Deep Reinforcement Learning for Data Association in Cell Tracking
Junjie Wang, Xiaohong Su, Lingling Zhao, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 26
The Classification of Enzymes by Deep Learning
Zhiyu Tao, Benzhi Dong, Zhixia Teng, et al.
IEEE Access (2020) Vol. 8, pp. 89802-89811
Open Access | Times Cited: 23
FunEffector-Pred: Identification of Fungi Effector by Activate Learning and Genetic Algorithm Sampling of Imbalanced Data
Chao Wang, Pingping Wang, Shuguang Han, et al.
IEEE Access (2020) Vol. 8, pp. 57674-57683
Open Access | Times Cited: 21
Identification of Methicillin-Resistant Staphylococcus Aureus From Methicillin-Sensitive Staphylococcus Aureus and Molecular Characterization in Quanzhou, China
Zhimin Bai, Min Chen, Qiaofa Lin, et al.
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 20
Current status and future prospects of drug–target interaction prediction
Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, et al.
Briefings in Functional Genomics (2021) Vol. 20, Iss. 5, pp. 312-322
Closed Access | Times Cited: 19
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