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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:

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

Showing 1-25 of 69 citing articles:

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: 109
Resolving the structure of phage–bacteria interactions in the context of natural diversity
Kathryn M. Kauffman, William K. Chang, Julia M. Brown, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 79
iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides
Phasit Charoenkwan, Janchai Yana, Chanin Nantasenamat, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 12, pp. 6666-6678
Closed Access | Times Cited: 118
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
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: 66
MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors
Robson Parmezan Bonidia, Douglas Silva Domingues, Danilo Sipoli Sanches, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 60
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: 58
AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning
Phasit Charoenkwan, Saeed Ahmed, Chanin Nantasenamat, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 49
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: 45
A machine learning-based predictor for the identification of the recurrence of patients with gastric cancer after operation
Chengmao Zhou, Junhong Hu, Ying Wang, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 51
Application of machine learning in bacteriophage research
Yousef Nami, Nazila Imeni, Bahman Panahi
BMC Microbiology (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 44
A novel sequence-based predictor for identifying and characterizing thermophilic proteins using estimated propensity scores of dipeptides
Phasit Charoenkwan, Warot Chotpatiwetchkul, Vannajan Sanghiran Lee, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 41
Towards a better prediction of subcellular location of long non-coding RNA
Zhao‐Yue Zhang, Zi‐Jie Sun, Yuhe Yang, et al.
Frontiers of Computer Science (2022) Vol. 16, Iss. 5
Closed Access | Times Cited: 35
SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins
Saeed Ahmad, Phasit Charoenkwan, Julian M.W. Quinn, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 33
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: 23
Empathi: Embedding-based Phage Protein Annotation Tool by Hierarchical Assignment
Alexandre Boulay, Audrey Leprince, François Enault, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Phage‐derived proteins: Advancing food safety through biocontrol and detection of foodborne pathogens
Dahee Choi, Sangryeol Ryu, Minsuk Kong
Comprehensive Reviews in Food Science and Food Safety (2025) Vol. 24, Iss. 2
Closed Access
A review of neural networks for metagenomic binning
Jair Herazo-Álvarez, Marco Mora, Sara Cuadros-Orellana, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
i6mA-stack: A stacking ensemble-based computational prediction of DNA N6-methyladenine (6mA) sites in the Rosaceae genome
Jhabindra Khanal, Dae Young Lim, Hilal Tayara, et al.
Genomics (2020) Vol. 113, Iss. 1, pp. 582-592
Open Access | Times Cited: 38
DeePVP: Identification and classification of phage virion proteins using deep learning
Zhencheng Fang, Tao Feng, Hongwei Zhou, et al.
GigaScience (2022) Vol. 11
Open Access | Times Cited: 19
PhaVIP: Phage VIrion Protein classification based on chaos game representation and Vision Transformer
Jiayu Shang, Cheng Peng, Xubo Tang, et al.
Bioinformatics (2023) Vol. 39, Iss. Supplement_1, pp. i30-i39
Open Access | Times Cited: 11
In Silico Approaches for the Prediction and Analysis of Antiviral Peptides: A Review
Phasit Charoenkwan, Nuttapat Anuwongcharoen, Chanin Nantasenamat, et al.
Current Pharmaceutical Design (2020) Vol. 27, Iss. 18, pp. 2180-2188
Closed 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: 27
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