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:

iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC
Zhendong Su, Yan Huang, Zhao‐Yue Zhang, et al.
Bioinformatics (2018) Vol. 34, Iss. 24, pp. 4196-4204
Open Access | Times Cited: 273

Showing 26-50 of 273 citing articles:

CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning
Xiaoli Qiang, Chen Zhou, Xiucai Ye, et al.
Briefings in Bioinformatics (2018)
Closed Access | Times Cited: 121
PredT4SE-Stack: Prediction of Bacterial Type IV Secreted Effectors From Protein Sequences Using a Stacked Ensemble Method
Yi Xiong, Qiankun Wang, Junchen Yang, et al.
Frontiers in Microbiology (2018) Vol. 9
Open Access | Times Cited: 116
Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms
Leyi Wei, Jie Hu, Fuyi Li, et al.
Briefings in Bioinformatics (2018)
Closed Access | Times Cited: 115
LncSEA: a platform for long non-coding RNA related sets and enrichment analysis
Jiaxin Chen, Jian Zhang, Yu Gao, et al.
Nucleic Acids Research (2020) Vol. 49, Iss. D1, pp. D969-D980
Open Access | Times Cited: 110
M6AMRFS: Robust Prediction of N6-Methyladenosine Sites With Sequence-Based Features in Multiple Species
Xiaoli Qiang, Huangrong Chen, Xiucai Ye, et al.
Frontiers in Genetics (2018) Vol. 9
Open Access | Times Cited: 106
iPPI-PseAAC(CGR): Identify protein-protein interactions by incorporating chaos game representation into PseAAC
Jianhua Jia, Xiaoyan Li, Wang‐Ren Qiu, et al.
Journal of Theoretical Biology (2018) Vol. 460, pp. 195-203
Closed Access | Times Cited: 105
Predictive models of subcellular localization of long RNAs
B. M. Zuckerman, Igor Ulitsky
RNA (2019) Vol. 25, Iss. 5, pp. 557-572
Open Access | Times Cited: 98
RNALocate v2.0: an updated resource for RNA subcellular localization with increased coverage and annotation
Tianyu Cui, Yiying Dou, Puwen Tan, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D333-D339
Open Access | Times Cited: 96
pLoc_bal-mHum: Predict subcellular localization of human proteins by PseAAC and quasi-balancing training dataset
Kuo‐Chen Chou, Xiang Cheng, Xuan Xiao
Genomics (2018) Vol. 111, Iss. 6, pp. 1274-1282
Open Access | Times Cited: 92
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods
Fuyi Li, Yanan Wang, Chen Li, et al.
Briefings in Bioinformatics (2018) Vol. 20, Iss. 6, pp. 2150-2166
Open Access | Times Cited: 92
Advances in Predicting Subcellular Localization of Multi-label Proteins and its Implication for Developing Multi-target Drugs
Kuo‐Chen Chou
Current Medicinal Chemistry (2019) Vol. 26, Iss. 26, pp. 4918-4943
Closed Access | Times Cited: 91
iPSW(2L)-PseKNC: A two-layer predictor for identifying promoters and their strength by hybrid features via pseudo K-tuple nucleotide composition
Xuan Xiao, Zhaochun Xu, Wang‐Ren Qiu, et al.
Genomics (2018) Vol. 111, Iss. 6, pp. 1785-1793
Open Access | Times Cited: 88
lncLocator 2.0: a cell-line-specific subcellular localization predictor for long non-coding RNAs with interpretable deep learning
Yang Lin, Xiaoyong Pan, Hong‐Bin Shen
Bioinformatics (2021) Vol. 37, Iss. 16, pp. 2308-2316
Closed Access | Times Cited: 86
Progresses in Predicting Post-translational Modification
Kuo‐Chen Chou
International Journal of Peptide Research and Therapeutics (2019) Vol. 26, Iss. 2, pp. 873-888
Closed Access | Times Cited: 82
iDPPIV-SCM: A Sequence-Based Predictor for Identifying and Analyzing Dipeptidyl Peptidase IV (DPP-IV) Inhibitory Peptides Using a Scoring Card Method
Phasit Charoenkwan, Sakawrat Kanthawong, Chanin Nantasenamat, et al.
Journal of Proteome Research (2020) Vol. 19, Iss. 10, pp. 4125-4136
Closed Access | Times Cited: 81
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding
Min Zeng, Yifan Wu, Chengqian Lu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 63
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation
Min Li, Baoying Zhao, Rui Yin, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 44
TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization
Young-Jun Jeon, Md Mehedi Hasan, Hyun Woo Park, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 42
GM-lncLoc: LncRNAs subcellular localization prediction based on graph neural network with meta-learning
Junzhe Cai, Ting Wang, Xi Deng, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 24
A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens
Zhao‐Yue Zhang, Zheng Zhang, Xiucai Ye, et al.
International Journal of Biological Macromolecules (2024) Vol. 265, pp. 130659-130659
Open Access | Times Cited: 12
DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localization with domain-specific transfer-learning
Jun Wang, Marc Horlacher, Lixin Cheng, et al.
Bioinformatics (2024) Vol. 40, Iss. 2
Open Access | Times Cited: 9
Predicting subcellular localization of multi-label proteins by incorporating the sequence features into Chou's PseAAC
Faisal Javed, Maqsood Hayat
Genomics (2018) Vol. 111, Iss. 6, pp. 1325-1332
Closed Access | Times Cited: 77
iDNA6mA-Rice: A Computational Tool for Detecting N6-Methyladenine Sites in Rice
Hao Lv, Fanny Dao, Zheng-Xing Guan, et al.
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 72
Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation
Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
Journal of Computer-Aided Molecular Design (2020) Vol. 34, Iss. 10, pp. 1105-1116
Closed Access | Times Cited: 69
UbiSitePred: A novel method for improving the accuracy of ubiquitination sites prediction by using LASSO to select the optimal Chou's pseudo components
Xiaoqiang Cui, Zhaomin Yu, Bin Yu, et al.
Chemometrics and Intelligent Laboratory Systems (2018) Vol. 184, pp. 28-43
Open Access | Times Cited: 67

Scroll to top