Open Access Helper

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:

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

Showing 11 citing articles:

Deep-ProBind: binding protein prediction with transformer-based deep learning model
Salman Khan, Sumaiya Noor, Hamid Hussain Awan, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access | Times Cited: 1
DeepAIPs-Pred: Predicting Anti-Inflammatory Peptides Using Local Evolutionary Transformation Images and Structural Embedding-Based Optimal Descriptors with Self-Normalized BiTCNs
Shahid Akbar, Matee Ullah, Ali Raza, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 5
StackAHTPs: An explainable antihypertensive peptides identifier based on heterogeneous features and stacked learning approach
Ali Ghulam, Muhammad Arif, Ahsanullah Unar, et al.
IET Systems Biology (2025) Vol. 19, Iss. 1
Open Access
Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy
Watshara Shoombuatong, Nalini Schaduangrat, Nutta Homdee, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Advancing the Accuracy of Anti-MRSA Peptide Prediction Through Integrating Multi-Source Protein Language Models
Watshara Shoombuatong, Pakpoom Mookdarsanit, Lawankorn Mookdarsanit, et al.
Interdisciplinary Sciences Computational Life Sciences (2025)
Closed Access
StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features
Muhammad Arif, Saleh Musleh, Ali Ghulam, et al.
Methods (2024) Vol. 230, pp. 129-139
Open Access | Times Cited: 4
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: 4
Deep-m5U: a deep learning-based approach for RNA 5-methyluridine modification prediction using optimized feature integration
Sumaiya Noor, Afshan Naseem, Hamid Hussain Awan, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
Deepstack-ACE: A deep stacking-based ensemble learning framework for the accelerated discovery of ACE inhibitory peptides
Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, et al.
Methods (2024)
Closed Access | Times Cited: 2
TargetCLP: clathrin proteins prediction combining transformed and evolutionary scale modeling-based multi-view features via weighted feature integration approach
Matee Ullah, Shahid Akbar, Ali Raza, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
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
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