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:
HybridSucc: A Hybrid-Learning Architecture for General and Species-Specific Succinylation Site Prediction
Wanshan Ning, Haodong Xu, Peiran Jiang, et al.
Genomics Proteomics & Bioinformatics (2020) Vol. 18, Iss. 2, pp. 194-207
Open Access | Times Cited: 38
Wanshan Ning, Haodong Xu, Peiran Jiang, et al.
Genomics Proteomics & Bioinformatics (2020) Vol. 18, Iss. 2, pp. 194-207
Open Access | Times Cited: 38
Showing 26-50 of 38 citing articles:
pSuc-FFSEA: Predicting Lysine Succinylation Sites in Proteins Based on Feature Fusion and Stacking Ensemble Algorithm
Jianhua Jia, Genqiang Wu, Wang‐Ren Qiu
Frontiers in Cell and Developmental Biology (2022) Vol. 10
Open Access | Times Cited: 7
Jianhua Jia, Genqiang Wu, Wang‐Ren Qiu
Frontiers in Cell and Developmental Biology (2022) Vol. 10
Open Access | Times Cited: 7
An Improved Computational Prediction Model for Lysine Succinylation Sites Mapping on Homo sapiens by Fusing Three Sequence Encoding Schemes with the Random Forest Classifier
Samme Amena Tasmia, Fee Faysal Ahmed, Parvez Mosharaf, et al.
Current Genomics (2021) Vol. 22, Iss. 2, pp. 122-136
Open Access | Times Cited: 6
Samme Amena Tasmia, Fee Faysal Ahmed, Parvez Mosharaf, et al.
Current Genomics (2021) Vol. 22, Iss. 2, pp. 122-136
Open Access | Times Cited: 6
A Comprehensive Comparative Review of Protein Sequence-Based Computational Prediction Models of Lysine Succinylation Sites
Md. Nurul Haque Mollah, Samme Amena Tasmia, Md. Kaderi Kibria, et al.
Current Protein and Peptide Science (2022) Vol. 23, Iss. 11, pp. 744-756
Closed Access | Times Cited: 4
Md. Nurul Haque Mollah, Samme Amena Tasmia, Md. Kaderi Kibria, et al.
Current Protein and Peptide Science (2022) Vol. 23, Iss. 11, pp. 744-756
Closed Access | Times Cited: 4
Deep_KsuccSite: A novel deep learning method for the identification of lysine succinylation sites
Xin Liu, Linlin Xu, Yaping Lu, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 4
Xin Liu, Linlin Xu, Yaping Lu, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 4
Extensive comparison of protein sequence-based bioinformatics applications for predicting lysine succinylation sites: a comparative review
Hussam Alsharif
Biotechnology & Biotechnological Equipment (2024) Vol. 38, Iss. 1
Open Access
Hussam Alsharif
Biotechnology & Biotechnological Equipment (2024) Vol. 38, Iss. 1
Open Access
PD-BertEDL: An Ensemble Deep Learning Method Using BERT and Multivariate Representation to Predict Peptide Detectability
Huiqing Wang, Juan Wang, Zhipeng Feng, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 20, pp. 12385-12385
Open Access | Times Cited: 2
Huiqing Wang, Juan Wang, Zhipeng Feng, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 20, pp. 12385-12385
Open Access | Times Cited: 2
A parallel model of DenseCNN and ordered‐neuron LSTM for generic and species‐specific succinylation site prediction
Huiqing Wang, Hong Sheng Zhao, Jing Zhang, et al.
Biotechnology and Bioengineering (2022) Vol. 119, Iss. 7, pp. 1755-1767
Closed Access | Times Cited: 1
Huiqing Wang, Hong Sheng Zhao, Jing Zhang, et al.
Biotechnology and Bioengineering (2022) Vol. 119, Iss. 7, pp. 1755-1767
Closed Access | Times Cited: 1
NetBCE: An Interpretable Deep Neural Network for Accurate Prediction of Linear B-Cell Epitopes
Haodong Xu, Zhongming Zhao
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Haodong Xu, Zhongming Zhao
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
SuccSPred2.0: A Two-Step Model to Predict Succinylation Sites Based on Multifeature Fusion and Selection Algorithm
Yixiao Xia, Minchao Jiang, Yizhang Luo, et al.
Journal of Computational Biology (2022) Vol. 29, Iss. 10, pp. 1085-1094
Closed Access | Times Cited: 1
Yixiao Xia, Minchao Jiang, Yizhang Luo, et al.
Journal of Computational Biology (2022) Vol. 29, Iss. 10, pp. 1085-1094
Closed Access | Times Cited: 1
pSuc-EDBAM: Predicting lysine succinylation sites in proteins based on ensemble dense blocks and an attention module
Jianhua Jia, Genqiang Wu, Meifang Li, et al.
Research Square (Research Square) (2022)
Closed Access | Times Cited: 1
Jianhua Jia, Genqiang Wu, Meifang Li, et al.
Research Square (Research Square) (2022)
Closed Access | Times Cited: 1
Multi-Omic Profiling of Plasma Identify Biomarkers and Pathogenesis of COVID-19 in Children
Chong Wang, Xufang Li, Wanshan Ning, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
Chong Wang, Xufang Li, Wanshan Ning, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
SuccSPred: Succinylation Sites Prediction Using Fused Feature Representation and Ranking Method
Ruiquan Ge, Yizhang Luo, Guanwen Feng, et al.
Lecture notes in computer science (2021), pp. 191-202
Closed Access | Times Cited: 1
Ruiquan Ge, Yizhang Luo, Guanwen Feng, et al.
Lecture notes in computer science (2021), pp. 191-202
Closed Access | Times Cited: 1
Succinylated lysine residue prediction revisited
Shehab Ahmed, Zaara T. Rifat, Mohammad Saifur Rahman, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access
Shehab Ahmed, Zaara T. Rifat, Mohammad Saifur Rahman, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access
