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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:

Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method
Hao Lv, Fanny Dao, Zheng-Xing Guan, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Closed Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides
Jing Xu, Fuyi Li, André Leier, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 115
Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using ordinal positional encoding
Qitong Yuan, Keyi Chen, Yimin Yu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 75
Protein lysine crotonylation: past, present, perspective
Gaoyue Jiang, Chunxia Li, Meng Kai Lü, et al.
Cell Death and Disease (2021) Vol. 12, Iss. 7
Open Access | Times Cited: 91
DeepIPs: comprehensive assessment and computational identification of phosphorylation sites of SARS-CoV-2 infection using a deep learning-based approach
Hao Lv, Fanny Dao, Hasan Zulfiqar, et al.
Briefings in Bioinformatics (2021)
Open Access | Times Cited: 78
A heterogeneous network embedding framework for predicting similarity-based drug-target interactions
Qi An, Liang Yu
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 73
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
UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning
Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 23, pp. 13124-13124
Open Access | Times Cited: 72
BERT-Kcr: prediction of lysine crotonylation sites by a transfer learning method with pre-trained BERT models
Yanhua Qiao, Xiaolei Zhu, Haipeng Gong
Bioinformatics (2021) Vol. 38, Iss. 3, pp. 648-654
Closed Access | Times Cited: 64
StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides
Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
Methods (2021) Vol. 204, pp. 189-198
Closed Access | Times Cited: 60
AcrPred: A hybrid optimization with enumerated machine learning algorithm to predict Anti-CRISPR proteins
Fanny Dao, Menglu Liu, Wei Su, et al.
International Journal of Biological Macromolecules (2022) Vol. 228, pp. 706-714
Closed Access | Times Cited: 48
DeepKla: An attention mechanism‐based deep neural network for protein lysine lactylation site prediction
Hao Lv, Fanny Dao, Hao Lin
iMeta (2022) Vol. 1, Iss. 1
Closed Access | Times Cited: 47
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins
Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105704-105704
Closed Access | Times Cited: 47
Bitter-RF: A random forest machine model for recognizing bitter peptides
Yufei Zhang, Yuhao Wang, Zhi-Feng Gu, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 42
Auto-Kla: a novel web server to discriminate lysine lactylation sites using automated machine learning
Fei-Liao Lai, Feng Gao
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 31
MA‐PEP: A novel anticancer peptide prediction framework with multimodal feature fusion based on attention mechanism
Liang Xiao, Haochen Zhao, Jianxin Wang
Protein Science (2024) Vol. 33, Iss. 4
Closed 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
EPSOL: sequence-based protein solubility prediction using multidimensional embedding
Xiang Wu, Liang Yu
Bioinformatics (2021) Vol. 37, Iss. 23, pp. 4314-4320
Closed Access | Times Cited: 45
iThermo: A Sequence-Based Model for Identifying Thermophilic Proteins Using a Multi-Feature Fusion Strategy
Zahoor Ahmed, Hasan Zulfiqar, Abdullah Aman Khan, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 33
Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture
Zutan Li, Jingya Fang, Shining Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 32
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
PMHO: Point-supervised Oriented Object Detection Based on Segmentation-Driven Proposal Generation
Shun Zhang, Jihui Long, Yaohui Xu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-18
Closed Access | Times Cited: 7
iTTCA-RF: a random forest predictor for tumor T cell antigens
Shihu Jiao, Quan Zou, Huannan Guo, et al.
Journal of Translational Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 41
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
iEnhancer-EBLSTM: Identifying Enhancers and Strengths by Ensembles of Bidirectional Long Short-Term Memory
Kun Niu, Ximei Luo, Shumei Zhang, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 35
DeepAc4C: a convolutional neural network model with hybrid features composed of physicochemical patterns and distributed representation information for identification of N4-acetylcytidine in mRNA
Chao Wang, Ying Ju, Quan Zou, et al.
Bioinformatics (2021) Vol. 38, Iss. 1, pp. 52-57
Closed Access | Times Cited: 35
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