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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:

nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learning
Yongzi Chen, Zhuozhi Wang, Yanan Wang, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Protein acylation: mechanisms, biological functions and therapeutic targets
Shuang Shang, Jing Liu, Fang Hua
Signal Transduction and Targeted Therapy (2022) Vol. 7, Iss. 1
Open Access | Times Cited: 92
The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review
Zahra Mohtasham‐Amiri, Arash Heidari, Nima Jafari Navimipour, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 5757-5797
Open Access | Times Cited: 53
STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction
Shaherin Basith, Gwang Lee, Balachandran Manavalan
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 72
ConSIG: consistent discovery of molecular signature from OMIC data
Fengcheng Li, Jiayi Yin, Mingkun Lu, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Closed Access | Times Cited: 59
Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins
Moritz Ertelt, Vikram Khipple Mulligan, Jack B. Maguire, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 3, pp. e1011939-e1011939
Open Access | Times Cited: 11
Improved Prediction Model of Protein Lysine Crotonylation Sites Using Bidirectional Recurrent Neural Networks
Sian Soo Tng, Nguyen Quoc Khanh Le, Hui‐Yuan Yeh, et al.
Journal of Proteome Research (2021) Vol. 21, Iss. 1, pp. 265-273
Closed Access | Times Cited: 54
An interpretable deep learning model for classifying adaptor protein complexes from sequence information
Quang-Hien Kha, Thi-Oanh Tran, Trinh‐Trung‐Duong Nguyen, et al.
Methods (2022) Vol. 207, pp. 90-96
Closed Access | Times Cited: 33
Mini-review: Recent advances in post-translational modification site prediction based on deep learning
Lingkuan Meng, Wai‐Sum Chan, Lei Huang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 3522-3532
Open Access | Times Cited: 31
RMTLysPTM: recognizing multiple types of lysine PTM sites by deep analysis on sequences
Lei Chen, Yuwei Chen
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 13
DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network
Jhabindra Khanal, Hilal Tayara, Quan Zou, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 30
Lysine crotonylation of SERCA2a correlates to cardiac dysfunction and arrhythmia in Sirt1 cardiac-specific knockout mice
Huanxin Chen, Xiang-Chong Wang, Hai‐Tao Hou, et al.
International Journal of Biological Macromolecules (2023) Vol. 242, pp. 125151-125151
Closed Access | Times Cited: 11
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
O-GlcNAcPRED-DL: Prediction of Protein O-GlcNAcylation Sites Based on an Ensemble Model of Deep Learning
Fengzhu Hu, Weiyu Li, Yaoxiang Li, et al.
Journal of Proteome Research (2023) Vol. 23, Iss. 1, pp. 95-106
Closed Access | Times Cited: 9
Post‐translational modifications of proteins in cardiovascular diseases examined by proteomic approaches
Miroslava Št́astná
FEBS Journal (2024)
Open Access | Times Cited: 3
BERT-Kgly: A Bidirectional Encoder Representations From Transformers (BERT)-Based Model for Predicting Lysine Glycation Site for Homo sapiens
Yinbo Liu, Yufeng Liu, Gang-Ao Wang, et al.
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 15
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
iKcr_CNN: A novel computational tool for imbalance classification of human nonhistone crotonylation sites based on convolutional neural networks with focal loss
Lijun Dou, Zilong Zhang, Lei Xu, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 3268-3279
Open Access | Times Cited: 13
iACP-DFSRA: identification of anticancer peptides based on a dual-channel fusion strategy of ResCNN and Attention
Xin Wang, Zimeng Zhang, Chang Liu
Journal of Molecular Biology (2024), pp. 168810-168810
Closed Access | Times Cited: 2
CapsNh-Kcr: Capsule network-based prediction of lysine crotonylation sites in human non-histone proteins
Jhabindra Khanal, Jeevan Kandel, Hilal Tayara, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 21, pp. 120-127
Open Access | Times Cited: 11
Identification of species-specific RNA N6-methyladinosine modification sites from RNA sequences
Rulan Wang, Chia‐Ru Chung, Hsien‐Da Huang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 5
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
PlantNh-Kcr: a deep learning model for predicting non-histone crotonylation sites in plants
Yanming Jiang, Renxiang Yan, Xiaofeng Wang
Plant Methods (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 1
N-GlycoPred: A hybrid deep learning model for accurate identification of N-glycosylation sites
Fengzhu Hu, Jie Gao, Jia Zheng, et al.
Methods (2024) Vol. 227, pp. 48-57
Closed Access | Times Cited: 1
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
PrUb-EL: A hybrid framework based on deep learning for identifying ubiquitination sites in Arabidopsis thaliana using ensemble learning strategy
Houqiang Wang, Hong Li, Weifeng Gao, et al.
Analytical Biochemistry (2022) Vol. 658, pp. 114935-114935
Closed Access | Times Cited: 7
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