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:

iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides Using Informative Physicochemical Properties
Phasit Charoenkwan, Nalini Schaduangrat, Chanin Nantasenamat, et al.
International Journal of Molecular Sciences (2019) Vol. 21, Iss. 1, pp. 75-75
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
Md Mehedi Hasan, Nalini Schaduangrat, Shaherin Basith, et al.
Bioinformatics (2020) Vol. 36, Iss. 11, pp. 3350-3356
Closed Access | Times Cited: 184
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides
Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 112
UniDL4BioPep: a universal deep learning architecture for binary classification in peptide bioactivity
Zhenjiao Du, Xingjian Ding, Yixiang Xu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 69
iBitter-SCM: Identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptides
Phasit Charoenkwan, Janchai Yana, Nalini Schaduangrat, et al.
Genomics (2020) Vol. 112, Iss. 4, pp. 2813-2822
Closed Access | Times Cited: 104
Prediction of lysine formylation sites using the composition of k-spaced amino acid pairs via Chou's 5-steps rule and general pseudo components
Zhe Ju, Shiyun Wang
Genomics (2019) Vol. 112, Iss. 1, pp. 859-866
Closed Access | Times Cited: 85
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
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
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
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
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
ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation
Lijun Cai, Li Wang, Xiangzheng Fu, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Closed Access | Times Cited: 66
PVPred-SCM: Improved Prediction and Analysis of Phage Virion Proteins Using a Scoring Card Method
Phasit Charoenkwan, Sakawrat Kanthawong, Nalini Schaduangrat, et al.
Cells (2020) Vol. 9, Iss. 2, pp. 353-353
Open Access | Times Cited: 58
A survey on computational taste predictors
Marta Malavolta, Lorenzo Pallante, Bojan Mavkov, et al.
European Food Research and Technology (2022) Vol. 248, Iss. 9, pp. 2215-2235
Open Access | Times Cited: 30
Stack-AVP: a stacked ensemble predictor based on multi-view information for fast and accurate discovery of antiviral peptides
Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, et al.
Journal of Molecular Biology (2024), pp. 168853-168853
Closed Access | Times Cited: 8
M3S-ALG: Improved and robust prediction of allergenicity of chemical compounds by using a novel multi-step stacking strategy
Phasit Charoenkwan, Nalini Schaduangrat, Le Thi Phan, et al.
Future Generation Computer Systems (2024) Vol. 162, pp. 107455-107455
Closed Access | Times Cited: 7
iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features
Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 16, pp. 8958-8958
Open Access | Times Cited: 38
Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework
Phasit Charoenkwan, Nalini Schaduangrat, Píetro Lió, et al.
iScience (2022) Vol. 25, Iss. 9, pp. 104883-104883
Open Access | Times Cited: 25
CELA-MFP: a contrast-enhanced and label-adaptive framework for multi-functional therapeutic peptides prediction
Yitian Fang, Mingshuang Luo, Zhixiang Ren, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 5
Predicting Preference of Transcription Factors for Methylated DNA Using Sequence Information
Menglu Liu, Wei Su, Jia-Shu Wang, et al.
Molecular Therapy — Nucleic Acids (2020) Vol. 22, pp. 1043-1050
Open Access | Times Cited: 30
Computational prediction of species-specific yeast DNA replication origin via iterative feature representation
Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Briefings in Bioinformatics (2020)
Open Access | Times Cited: 30
Prediction of N7-methylguanosine sites in human RNA based on optimal sequence features
Yuhe R. Yang, Chi Ma, Jia-Shu Wang, et al.
Genomics (2020) Vol. 112, Iss. 6, pp. 4342-4347
Open Access | Times Cited: 29
SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids
Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, et al.
Pharmaceutics (2022) Vol. 14, Iss. 1, pp. 122-122
Open Access | Times Cited: 19
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides
Phasit Charoenkwan, Nalini Schaduangrat, Píetro Lió, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105700-105700
Closed Access | Times Cited: 19
PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning
Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106784-106784
Closed Access | Times Cited: 11
Deep learning in the discovery of antiviral peptides and peptidomimetics: databases and prediction tools
Maryam Nawaz, Yao Huiyuan, Fahad Akhtar, et al.
Molecular Diversity (2025)
Closed Access
Page 1 - Next Page

Scroll to top