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:

MotifCNN-fold: protein fold recognition based on fold-specific features extracted by motif-based convolutional neural networks
Chenchen Li, Bin Liu
Briefings in Bioinformatics (2019) Vol. 21, Iss. 6, pp. 2133-2141
Closed Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions
Ankit Thakkar, Kinjal Chaudhari
Expert Systems with Applications (2021) Vol. 177, pp. 114800-114800
Closed Access | Times Cited: 178
BioSeq-BLM: a platform for analyzing DNA, RNA and protein sequences based on biological language models
Hongliang Li, Yihe Pang, Bin Liu
Nucleic Acids Research (2021) Vol. 49, Iss. 22, pp. e129-e129
Open Access | Times Cited: 171
ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning
Lesong Wei, Xiucai Ye, Tetsuya Sakurai, et al.
Bioinformatics (2022) Vol. 38, Iss. 6, pp. 1514-1524
Open Access | Times Cited: 104
Contrastive learning on protein embeddings enlightens midnight zone
Michael Heinzinger, Maria Littmann, Ian Sillitoe, et al.
NAR Genomics and Bioinformatics (2022) Vol. 4, Iss. 2
Open Access | Times Cited: 78
sgRNACNN: identifying sgRNA on-target activity in four crops using ensembles of convolutional neural networks
Mengting Niu, Yuan Lin, Quan Zou
Plant Molecular Biology (2021) Vol. 105, Iss. 4-5, pp. 483-495
Closed Access | Times Cited: 105
Computational identification of N6-methyladenosine sites in multiple tissues of mammals
Fanny Dao, Hao Lv, Yuhe R. Yang, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 1084-1091
Open Access | Times Cited: 84
RF-PseU: A Random Forest Predictor for RNA Pseudouridine Sites
Zhibin Lv, Jun Zhang, Hui Ding, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 81
ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism
Lesong Wei, Xiucai Ye, Yuyang Xue, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 75
ECFS-DEA: an ensemble classifier-based feature selection for differential expression analysis on expression profiles
Xudong Zhao, Qing Jiao, Hangyu Li, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 68
Sequence representation approaches for sequence-based protein prediction tasks that use deep learning
Feifei Cui, Zilong Zhang, Quan Zou
Briefings in Functional Genomics (2020) Vol. 20, Iss. 1, pp. 61-73
Closed Access | Times Cited: 62
Fold-LTR-TCP: protein fold recognition based on triadic closure principle
Bin Liu, Yulin Zhu, Ke Yan
Briefings in Bioinformatics (2019) Vol. 21, Iss. 6, pp. 2185-2193
Closed Access | Times Cited: 61
iDRBP_MMC: Identifying DNA-Binding Proteins and RNA-Binding Proteins Based on Multi-Label Learning Model and Motif-Based Convolutional Neural Network
Jun Zhang, Qingcai Chen, Bin Liu
Journal of Molecular Biology (2020) Vol. 432, Iss. 22, pp. 5860-5875
Closed Access | Times Cited: 60
FoldRec-C2C: protein fold recognition by combining cluster-to-cluster model and protein similarity network
Jiangyi Shao, Ke Yan, Bin Liu
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Open Access | Times Cited: 54
Advances in the Identification of Circular RNAs and Research Into circRNAs in Human Diseases
Shihu Jiao, Song Wu, Shan Huang, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 47
An analysis of protein language model embeddings for fold prediction
Amelia Villegas-Morcillo, Ángel M. Gómez, Victoria Sánchez
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Open Access | Times Cited: 32
DeepAFP: An effective computational framework for identifying antifungal peptides based on deep learning
Lantian Yao, Yuntian Zhang, Wenshuo Li, et al.
Protein Science (2023) Vol. 32, Iss. 10
Closed Access | Times Cited: 20
Predicting enhancer-promoter interactions by deep learning and matching heuristic
Xiaoping Min, Congmin Ye, Xiangrong Liu, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Closed Access | Times Cited: 50
iLncRNAdis-FB: Identify lncRNA-Disease Associations by Fusing Biological Feature Blocks Through Deep Neural Network
Hang Wei, Qing Liao, Bin Liu
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 18, Iss. 5, pp. 1946-1957
Closed Access | Times Cited: 48
DeepDRBP-2L: A New Genome Annotation Predictor for Identifying DNA-Binding Proteins and RNA-Binding Proteins Using Convolutional Neural Network and Long Short-Term Memory
Jun Zhang, Qingcai Chen, Bin Liu
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2019) Vol. 18, Iss. 4, pp. 1451-1463
Closed Access | Times Cited: 45
ProtFold-DFG: protein fold recognition by combining Directed Fusion Graph and PageRank algorithm
Jiangyi Shao, Bin Liu
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Closed Access | Times Cited: 44
iRNA5hmC: The First Predictor to Identify RNA 5-Hydroxymethylcytosine Modifications Using Machine Learning
Yuan Liu, Dasheng Chen, Ran Su, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 40
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
PreRBP-TL: prediction of species-specific RNA-binding proteins based on transfer learning
Jun Zhang, Ke Yan, Qingcai Chen, et al.
Bioinformatics (2022) Vol. 38, Iss. 8, pp. 2135-2143
Closed Access | Times Cited: 25
iGlu_AdaBoost: Identification of Lysine Glutarylation Using the AdaBoost Classifier
Lijun Dou, Xiaoling Li, Lichao Zhang, et al.
Journal of Proteome Research (2020) Vol. 20, Iss. 1, pp. 191-201
Closed Access | Times Cited: 32
DeepMal: Accurate prediction of protein malonylation sites by deep neural networks
Minghui Wang, Xiaoqiang Cui, Shan Li, et al.
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 207, pp. 104175-104175
Closed Access | Times Cited: 31
Page 1 - Next Page

Scroll to top