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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:

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

Showing 23 citing articles:

DPI_CDF: druggable protein identifier using cascade deep forest
Muhammad Arif, Fang Ge, Ali Ghulam, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 11
Machine learning-based model for accurate identification of druggable proteins using light extreme gradient boosting
Omar Alghushairy, Farman Ali, Wajdi Alghamdi, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 22, pp. 12330-12341
Closed Access | Times Cited: 16
IP-GCN: A Deep Learning Model for Prediction of Insulin using Graph Convolutional Network for Diabetes Drug Design
Farman Ali, Majdi Khalid, Abdullah Almuhaimeed, et al.
Journal of Computational Science (2024) Vol. 81, pp. 102388-102388
Closed Access | Times Cited: 7
A stacking ensemble model for predicting soil organic carbon content based on visible and near-infrared spectroscopy
Ke Tang, Xing Zhao, Zong Xu, et al.
Infrared Physics & Technology (2024) Vol. 140, pp. 105404-105404
Closed Access | Times Cited: 5
Collective in-silico and in-vitro evaluation indicate natural phenolics as a potential therapeutic candidate targeting antimicrobial-resistant genes of Helicobacter pylori
Neha Jaiswal, Meenakshi Kandpal, Hem Chandra Jha, et al.
International Journal of Biological Macromolecules (2025), pp. 142197-142197
Closed Access
Identification of potential novel therapeutic drug target against Elizabethkingia anophelis by integrative pan and subtractive genomic analysis: An in silico approach
Parth Sarker, Arnob Mitro, Hammadul Hoque, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107436-107436
Closed Access | Times Cited: 11
PMPred-AE: a computational model for the detection and interpretation of pathological myopia based on artificial intelligence
Hongqi Zhang, Muhammad Arif, Maha A. Thafar, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Repositioning of clinically approved drug Bazi Bushen capsule for treatment of Aizheimer's disease using network pharmacology approach and in vitro experimental validation
Tongxing Wang, Meng Chen, Huixin Li, et al.
Heliyon (2023) Vol. 9, Iss. 7, pp. e17603-e17603
Open Access | Times Cited: 7
DeepThal: A Deep Learning-Based Framework for the Large-Scale Prediction of the α+-Thalassemia Trait Using Red Blood Cell Parameters
Krittaya Phirom, Phasit Charoenkwan, Watshara Shoombuatong, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 21, pp. 6305-6305
Open Access | Times Cited: 11
In silico protein function prediction: the rise of machine learning-based approaches
Jiaxiao Chen, Zhonghui Gu, Luhua Lai, et al.
Medical Review (2023) Vol. 3, Iss. 6, pp. 487-510
Open Access | Times Cited: 6
PINNED: identifying characteristics of druggable human proteins using an interpretable neural network
Michael Cunningham, Danielle Pins, Zoltán Dezső, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 5
TROLLOPE: A novel sequence-based stacked approach for the accelerated discovery of linear T-cell epitopes of hepatitis C virus
Phasit Charoenkwan, Sajee Waramit, Pramote Chumnanpuen, et al.
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0290538-e0290538
Open Access | Times Cited: 5
Pretoria: An effective computational approach for accurate and high-throughput identification of CD8+ t-cell epitopes of eukaryotic pathogens
Phasit Charoenkwan, Nalini Schaduangrat, Nhat Truong Pham, et al.
International Journal of Biological Macromolecules (2023) Vol. 238, pp. 124228-124228
Closed Access | Times Cited: 4
StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens
Phasit Charoenkwan, Nalini Schaduangrat, Watshara Shoombuatong
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Deciphering Breast Cancer Metastasis Cascade: A Systems Biology Approach Integrating Transcriptome and Interactome Insights for Target Discovery
Bikashita Kalita, Mohane Selvaraj Coumar
OMICS A Journal of Integrative Biology (2024) Vol. 28, Iss. 3, pp. 148-161
Closed Access | Times Cited: 1
Druggable protein prediction using a multi-canal deep convolutional neural network based on autocovariance method
Mohammad Saber Iraji, Jafar Tanha, Mahboobeh Habibinejad
Computers in Biology and Medicine (2022) Vol. 151, pp. 106276-106276
Closed Access | Times Cited: 7
Empirical comparison and analysis of machine learning-based approaches for druggable protein identification.
Watshara Shoombuatong, Nalini Schaduangrat, Jaru Nikom
PubMed (2023) Vol. 22, pp. 915-927
Closed Access | Times Cited: 2
Drug-Target Interactions Prediction Using Stacking Ensemble Learning Approach
Viko Pradana Prasetyo, Wiwik Anggraeni
2022 International Electronics Symposium (IES) (2024) Vol. 551, pp. 681-686
Closed Access
DrugProtAI: A guide to the future research of investigational target proteins
Ankit Halder, Sabyasachi Samantaray, Sahil Barbade, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
The usability of stacking-based ensemble learning model in crime prediction: a systematic review
Canan Başar Eroğlu, Hüseyin Çakır
Crime Prevention and Community Safety (2024) Vol. 26, Iss. 4, pp. 440-489
Closed Access
Predicting cyclins based on key features and machine learning methods
Chengyan Wu, Zhi‐Xue Xu, Nan Li, et al.
Methods (2024)
Closed Access
Repurposing FDA-Approved Drugs Against Potential Drug Targets Involved in Brain Inflammation Contributing to Alzheimer’s Disease
Catherine Sharo, Jilei Zhang, Tianhua Zhai, et al.
Targets (2024) Vol. 2, Iss. 4, pp. 446-469
Open Access
PINNED: Identifying Characteristics of Druggable Human Proteins Using an Interpretable Neural Network
Michael Cunningham, Danielle Pins, Zoltán Dezső, et al.
(2023)
Open Access
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