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:

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

Showing 1-25 of 32 citing articles:

Insights into the post-translational modification and its emerging role in shaping the tumor microenvironment
Wen Li, Feifei Li, Xia Zhang, et al.
Signal Transduction and Targeted Therapy (2021) Vol. 6, Iss. 1
Open Access | Times Cited: 128

SBSM-Pro: support bio-sequence machine for proteins
Yizheng Wang, Yixiao Zhai, Yijie Ding, et al.
Science China Information Sciences (2024) Vol. 67, Iss. 11
Closed Access | Times Cited: 118

Genetic algorithm-assisted an improved AdaBoost double-layer for oil temperature prediction of TBM
Jianji Ren, Zhenxi Wang, Yong Pang, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101563-101563
Closed Access | Times Cited: 47

Prediction of Antiviral peptides using transform evolutionary & SHAP analysis based descriptors by incorporation with ensemble learning strategy
Shahid Akbar, Farman Ali, Maqsood Hayat, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 230, pp. 104682-104682
Closed Access | Times Cited: 40

Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy
Shahid Akbar, Heba G. Mohamed, Hashim Ali, et al.
IEEE Access (2023) Vol. 11, pp. 49024-49034
Open Access | Times Cited: 32

iGluK-Deep: computational identification of lysine glutarylation sites using deep neural networks with general pseudo amino acid compositions
Sheraz Naseer, Rao Faizan Ali, Yaser Daanial Khan, et al.
Journal of Biomolecular Structure and Dynamics (2021) Vol. 40, Iss. 22, pp. 11691-11704
Closed Access | Times Cited: 51

Prediction of Amyloid Proteins using Embedded Evolutionary & Ensemble Feature Selection based Descriptors with eXtreme Gradient Boosting Model
Shahid Akbar, Hashim Ali, Ashfaq Ahmad, et al.
IEEE Access (2023) Vol. 11, pp. 39024-39036
Open Access | Times Cited: 22

4mCBERT: A computing tool for the identification of DNA N4-methylcytosine sites by sequence- and chemical-derived information based on ensemble learning strategies
Sen Yang, Zexi Yang, Jun Yang
International Journal of Biological Macromolecules (2023) Vol. 231, pp. 123180-123180
Closed Access | Times Cited: 18

Deepro-Glu: combination of convolutional neural network and Bi-LSTM models using ProtBert and handcrafted features to identify lysine glutarylation sites
Xiao Wang, Zhaoyuan Ding, Rong Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 18

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

DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins
Feifei Cui, Shuang Li, Zilong Zhang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 2020-2028
Open Access | Times Cited: 24

Chromatin lysine acylation: On the path to chromatin homeostasis and genome integrity
Feng Chen, Xingkai He, Wenchao Xu, et al.
Cancer Science (2024) Vol. 115, Iss. 11, pp. 3506-3519
Open Access | Times Cited: 4

MMEASE: enhanced analytical workflow for single-cell metabolomics
Qingxia Yang, Yuntao Dai, Shijie Huang, et al.
Nucleic Acids Research (2025)
Open Access

DeepDN_iGlu: prediction of lysine glutarylation sites based on attention residual learning method and DenseNet
Jianhua Jia, Mingwei Sun, Genqiang Wu, et al.
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 2, pp. 2815-2830
Open Access | Times Cited: 13

Accurate prediction and key protein sequence feature identification of cyclins
Shaoyou Yu, Bo Liao, Wen Zhu, et al.
Briefings in Functional Genomics (2023) Vol. 22, Iss. 5, pp. 411-419
Closed Access | Times Cited: 8

Functions and Mechanisms of Lysine Glutarylation in Eukaryotes
Longxiang Xie, Yafei Xiao, Fucheng Meng, et al.
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 17

ProtTrans-Glutar: Incorporating Features From Pre-trained Transformer-Based Models for Predicting Glutarylation Sites
Fatma Indriani, Kunti Robiatul Mahmudah, Bedy Purnama, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 12

A chemical field guide to histone nonenzymatic modifications
Sarah Faulkner, Igor Maksimovic, Yael David
Current Opinion in Chemical Biology (2021) Vol. 63, pp. 180-187
Open Access | Times Cited: 12

EnRank: An Ensemble Method to Detect Pulmonary Hypertension Biomarkers Based on Feature Selection and Machine Learning Models
Xiangju Liu, Yu Zhang, Chunli Fu, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 10

Network accounting information security based on classification and regression tree algorithm
zongmin li, Jacquline Tham
(2023), pp. 84-84
Closed Access | Times Cited: 4

WGAN-GP_Glu: A semi-supervised model based on double generator-Wasserstein GAN with gradient penalty algorithm for glutarylation site identification
Ning Qiao, Zedong Qi
Computers in Biology and Medicine (2024) Vol. 184, pp. 109328-109328
Closed Access | Times Cited: 1

FCCCSR_Glu: a semi-supervised learning model based on FCCCSR algorithm for prediction of glutarylation sites
Ning Qiao, Zedong Qi, Yue Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 5

Prediction of cell penetrating peptides and their uptake efficiency using random forest‐based feature selections
Peng Liu, Yijie Ding, Ying Rong, et al.
AIChE Journal (2022) Vol. 68, Iss. 9
Open Access | Times Cited: 4

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