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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:

Incorporating hybrid models into lysine malonylation sites prediction on mammalian and plant proteins
Chia‐Ru Chung, Yaping Chang, Yu-Lin Hsu, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 16

Showing 16 citing articles:

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
Analysis and review of techniques and tools based on machine learning and deep learning for prediction of lysine malonylation sites in protein sequences
Shahin Ramazi, Seyed Amir Hossein Tabatabaei, Elham Khalili, et al.
Database (2024) Vol. 2024
Open Access | Times Cited: 5
DLBWE-Cys: a deep-learning-based tool for identifying cysteine S-carboxyethylation sites using binary-weight encoding
Zhengtao Luo, Qingyong Wang, Yingchun Xia, et al.
Frontiers in Genetics (2025) Vol. 15
Open Access
Deep Learning–Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction
Subash C. Pakhrin, Suresh Pokharel, Hiroto Saigo, et al.
Methods in molecular biology (2022), pp. 285-322
Closed Access | Times Cited: 15
Protein feature engineering framework for AMPylation site prediction
Hardik Prabhu, Hrushikesh Bhosale, Aamod Sane, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
A bilayer microneedle for therapeutic peptide delivery towards the treatment of diabetes in db/db mice
Shuzhen Zhu, Bo Zhang, Ying Wang, et al.
Journal of Drug Delivery Science and Technology (2021) Vol. 62, pp. 102336-102336
Closed Access | Times Cited: 13
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
Current computational tools for protein lysine acylation site prediction
Zhaohui Qin, Haoran Ren, Pei Zhao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Closed Access | Times Cited: 1
A hybrid feature extraction scheme for efficient malonylation site prediction
Ali Ghanbari Sorkhi, Jamshid Pirgazi, Vahid Ghasemi
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 7
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
Predicting Lysine Phosphoglycerylation Sites using Bidirectional Encoder Representations with Transformers & Protein Feature Extraction and Selection
Songning Lai, Xifeng Hu, Jing Han, et al.
2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) (2022) Vol. 44, pp. 1-6
Closed Access | Times Cited: 4
Residue–Residue Contact Can Be a Potential Feature for the Prediction of Lysine Crotonylation Sites
Rulan Wang, Zhuo Wang, Zhongyan Li, et al.
Frontiers in Genetics (2022) Vol. 12
Open Access | Times Cited: 3
Systematic analysis of the lysine malonylome in Sanghuangporus sanghuang
Tong Wang, Guangyuan Wang, Guoli Zhang, et al.
BMC Genomics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 4
BERT_PLPS: A BERT-based Model for Predicting Lysine Phosphoglycerylation Sites
Songning Lai, Yankun Cao, Pengwei Wang, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
A hybrid feature selection method for predicting lysine malonylation sites in proteins via machine learning
Hananeh Rajabiun, Mahdis MohammadHoseini, Hadi Zarezadeh, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 222, pp. 104496-104496
Closed Access | Times Cited: 1
BERT_PLPS: A BERT-based Model for Predicting Lysine Phosphoglycerylation Sites
Songning Lai, Pengwei Wang, Lan Ye, et al.
(2023)
Open Access
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