Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Accurate prediction of species-specific 2-hydroxyisobutyrylation sites based on machine learning frameworks
You‐Gan Wang, Shuyun Huang, Lina Wang, et al.
Analytical Biochemistry (2020) Vol. 602, pp. 113793-113793
Closed Access | Times Cited: 11

Showing 11 citing articles:

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
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
iRice-MS: An integrated XGBoost model for detecting multitype post-translational modification sites in rice
Hao Lv, Yang Zhang, Jia-Shu Wang, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 23
DeepKhib: A Deep-Learning Framework for Lysine 2-Hydroxyisobutyrylation Sites Prediction
Luna Zhang, Yang Zou, Ningning He, et al.
Frontiers in Cell and Developmental Biology (2020) Vol. 8
Open Access | Times Cited: 18
Proteome-Wide Analysis of Lysine 2-Hydroxyisobutyrylation in Candida albicans
Hailin Zheng, Nana Song, Xiaowei Zhou, et al.
mSystems (2021) Vol. 6, Iss. 1
Open Access | Times Cited: 14
ResNetKhib: a novel cell type-specific tool for predicting lysine 2-hydroxyisobutylation sites via transfer learning
Xiaoti Jia, Pei Zhao, Fuyi Li, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Open Access | Times Cited: 5
Proteome-Wide Analysis of Lysine 2-Hydroxyisobutyrylation in Aspergillus fumigatus
Hailin Zheng, Huan Mei, Xiaofang Li, et al.
Current Microbiology (2024) Vol. 81, Iss. 3
Open Access | Times Cited: 1
Improved protein relative solvent accessibility prediction using deep multi-view feature learning framework
Xueqiang Fan, Jun Hu, Ning-Xin Jia, et al.
Analytical Biochemistry (2021) Vol. 631, pp. 114358-114358
Closed Access | Times Cited: 3
DeepCSO: a deep-learning network approach to predicting Cysteine S-sulphenylation sites
Xiaru Lyu, Ningning He, Zhen Chen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 1
DeepKhib: a deep-learning framework for lysine 2-hydroxyisobutyrylation sites prediction
Luna Zhang, Yang Zou, Ningning He, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 1
DeepKPred: Prediction and Functional Analysis of Lysine 2-Hydroxyisobutyrylation Sites Based on Deep Learning
Shiqi Fan, Yan Xu
Annals of Data Science (2023) Vol. 11, Iss. 2, pp. 693-707
Closed Access
Page 1

Scroll to top