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:

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

Showing 1-25 of 36 citing articles:

Biological Sequence Classification: A Review on Data and General Methods
Chunyan Ao, Shihu Jiao, Yansu Wang, et al.
Research (2022) Vol. 2022
Open Access | Times Cited: 70
Class overlap handling methods in imbalanced domain: A comprehensive survey
A. Kumar, Dinesh Singh, Rama Shankar Yadav
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 63243-63290
Closed Access | Times Cited: 11
Protein–DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data
Feifei Cui, Zilong Zhang, Chen Cao, et al.
PROTEOMICS (2022) Vol. 22, Iss. 8
Closed Access | Times Cited: 30
A Perspective on the Prospective Use of AI in Protein Structure Prediction
Raphaëlle Versini, Sujith Sritharan, Burcu Aykaç Fas, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 1, pp. 26-41
Open Access | Times Cited: 16
DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins
Feifei Cui, Shuang Li, Zilong Zhang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 2020-2028
Open Access | Times Cited: 24
Benchmarking deep learning methods for predicting CRISPR/Cas9 sgRNA on- and off-target activities
Guishan Zhang, Ye Luo, Xianhua Dai, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Closed Access | Times Cited: 14
MIND-S is a deep-learning prediction model for elucidating protein post-translational modifications in human diseases
Yu Yan, Jyun‐Yu Jiang, Mingzhou Fu, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 3, pp. 100430-100430
Open Access | Times Cited: 13
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
GDHS: An efficient hybrid sampling method for multi-class imbalanced data classification
Yuanting Yan, Yan Lv, S. G. Han, et al.
Neurocomputing (2025), pp. 130088-130088
Closed Access
MecDDI: Clarified Drug–Drug Interaction Mechanism Facilitating Rational Drug Use and Potential Drug–Drug Interaction Prediction
Wei Hu, Wei Zhang, Ying Zhou, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 5, pp. 1626-1636
Closed Access | Times Cited: 11
FRP-XGBoost: Identification of ferroptosis-related proteins based on multi-view features
Lin Li, Yao Long, Jinkai Liu, et al.
International Journal of Biological Macromolecules (2024) Vol. 262, pp. 130180-130180
Closed Access | Times Cited: 4
Leveraging Protein Dynamics to Identify Functional Phosphorylation Sites using Deep Learning Models
Fei Zhu, Sijie Yang, Fanwang Meng, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 14, pp. 3331-3345
Closed Access | Times Cited: 14
Identification of small open reading frames in plant lncRNA using class-imbalance learning
Siyuan Zhao, Jun Meng, Jael Sanyanda Wekesa, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106773-106773
Closed Access | Times Cited: 7
The Role of Protein SUMOylation in Human Hepatocellular Carcinoma: A Potential Target of New Drug Discovery and Development
Hongchao Yuan, Yuanjun Lu, Yau-Tuen Chan, et al.
Cancers (2021) Vol. 13, Iss. 22, pp. 5700-5700
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
Effector-GAN: prediction of fungal effector proteins based on pretrained deep representation learning methods and generative adversarial networks
Yansu Wang, Ximei Luo, Quan Zou
Bioinformatics (2022) Vol. 38, Iss. 14, pp. 3541-3548
Closed Access | Times Cited: 11
Tumor Suppressor p53 Down-Regulates Programmed Cell Death Protein 4 (PDCD4) Expression
William H. Yang, Andrew P. George, Chiung‐Min Wang, et al.
Current Oncology (2023) Vol. 30, Iss. 2, pp. 1614-1625
Open Access | Times Cited: 5
PPICT: an integrated deep neural network for predicting inter-protein PTM cross-talk
Fei Zhu, Lei Deng, Yuhao Dai, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Open Access | Times Cited: 5
Application of artificial intelligence in brain arteriovenous malformations: Angioarchitectures, clinical symptoms and prognosis prediction
Xiangyu Li, Sishi Xiang, GuiLin Li
Interventional Neuroradiology (2024)
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
PhosBoost: Improved phosphorylation prediction recall using gradient boosting and protein language models
Elly Poretsky, Carson M. Andorf, Taner Z. Sen
Plant Direct (2023) Vol. 7, Iss. 12
Open Access | Times Cited: 4
Jun Dimerization Protein 2 (JDP2) Increases p53 Transactivation by Decreasing MDM2
Kasey Price, William H. Yang, Letícia Silveira Cardoso, et al.
Cancers (2024) Vol. 16, Iss. 5, pp. 1000-1000
Open Access | Times Cited: 1
Forkhead Box Protein P3 (FOXP3) Represses ATF3 Transcriptional Activity
Chiung‐Min Wang, William H. Yang, Letícia Silveira Cardoso, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 21, pp. 11400-11400
Open Access | Times Cited: 10
Prediction Models for Agonists and Antagonists of Molecular Initiation Events for Toxicity Pathways Using an Improved Deep-Learning-Based Quantitative Structure–Activity Relationship System
Yasunari Matsuzaka, Shin Totoki, Kentaro Handa, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 19, pp. 10821-10821
Open Access | Times Cited: 7
Improving performance of decision threshold moving-based strategies by integrating density-based clustering technique
Mengke Lu, Shang Gao, Xibei Yang, et al.
Electronic Research Archive (2023) Vol. 31, Iss. 5, pp. 2501-2518
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top