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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:

Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features
Md. Easin Arafat, Md. Wakil Ahmad, S.M. Shovan, et al.
Genes (2020) Vol. 11, Iss. 9, pp. 1023-1023
Open Access | Times Cited: 24

Showing 24 citing articles:

DeepFeature: feature selection in nonimage data using convolutional neural network
Alok Sharma, Artem Lysenko, Keith A. Boroevich, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 55
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
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: 36
Substrate and Functional Diversity of Protein Lysine Post-translational Modifications
Bingbing Hao, Kaifeng Chen, Linhui Zhai, et al.
Genomics Proteomics & Bioinformatics (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 4
CNN-Pred: Prediction of single-stranded and double-stranded DNA-binding protein using convolutional neural networks
Farnoush Manavi, Alok Sharma, Ronesh Sharma, et al.
Gene (2022) Vol. 853, pp. 147045-147045
Closed Access | Times Cited: 13
Emerging trends in post-translational modification: Shedding light on Glioblastoma multiforme
Smita Kumari, Rohan Gupta, Rashmi K. Ambasta, et al.
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2023) Vol. 1878, Iss. 6, pp. 188999-188999
Closed Access | Times Cited: 7
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: 16
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: 12
PLP_FS: prediction of lysine phosphoglycerylation sites in protein using support vector machine and fusion of multiple F_Score feature selection
Md. Sohrawordi, Md. Ali Hossain, Md. Al Mehedi Hasan
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 9
New boosting approaches for improving cluster-based undersampling in problems with imbalanced data
Abdullah All Tanvir, Iftakhar Ali Khandokar, Swakkhar Shatabda
Decision Analytics Journal (2023) Vol. 8, pp. 100316-100316
Open Access | Times Cited: 5
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
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
Prediction of lysine formylation sites using support vector machine based on the sample selection from majority classes and synthetic minority over-sampling techniques
Md. Sohrawordi, Md. Ali Hossain
Biochimie (2021) Vol. 192, pp. 125-135
Closed Access | Times Cited: 9
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
MP-VHPPI: Meta predictor for viral host protein-protein interaction prediction in multiple hosts and viruses
Muhammad Nabeel Asim, Ahtisham Fazeel, Muhammad Ali Ibrahim, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 4
GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier
Xin Liu, Bao Zhu, Xia-Wei Dai, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Unique Posttranslational Modification Sites of Acetylation, Citrullination, Glutarylation, and Phosphorylation Are Found to Be Specific to the Proteins Partitioned in the Triton X-114 Fractions of Leptospira
Homen Phukan, Abhijit Sarma, Rex Devasahayam Arokia Balaya, et al.
ACS Omega (2022) Vol. 7, Iss. 22, pp. 18569-18576
Open Access | Times Cited: 3
iProtGly-SS: A Tool to Accurately Predict Protein Glycation Site Using Structural-Based Features
Abdollah Dehzangi, Alok Sharma, Swakkhar Shatabda
Methods in molecular biology (2022), pp. 125-134
Closed Access | Times Cited: 3
Accurate Prediction of Lysine Methylation Sites Using Evolutionary and Structural-Based Information
Md. Easin Arafat, Md. Wakil Ahmad, S.M. Shovan, et al.
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 1300-1320
Open Access
Computational Prediction of N- and O-Linked Glycosylation Sites for Human and Mouse Proteins
Ghazaleh Taherzadeh, Matthew P. Campbell, Yaoqi Zhou
Methods in molecular biology (2022), pp. 177-186
Closed Access | Times Cited: 1
Enhanced Characterization Performance of Propionylation PTM utilizing multiple feature fusion
S.M. Shovan, Boshir Ahmed
(2022), pp. 1-5
Closed Access | Times Cited: 1
GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on Feature Fusion and GBDT classifier
Xin Liu, Bao Zhu, Xia-Wei Dai, et al.
Research Square (Research Square) (2023)
Open Access
Additional file 1 of GBDT_KgluSite: An improved computational prediction model for lysine glutarylation sites based on feature fusion and GBDT classifier
Xin Liu, Bao Zhu, Xia-Wei Dai, et al.
Figshare (2023)
Open Access
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