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:

Recent Advances in Machine Learning-Based Models for Prediction of Antiviral Peptides
Farman Ali, Harish Kumar, Wajdi Alghamdi, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4033-4044
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Bioactive Peptides Derived from Whey Proteins for Health and Functional Beverages
Margarita Saubenova, Yelena Oleinikova, Alexander Rapoport, et al.
Fermentation (2024) Vol. 10, Iss. 7, pp. 359-359
Open Access | Times Cited: 13

Comprehensive Analysis of Computational Models for Prediction of Anticancer Peptides Using Machine Learning and Deep Learning
Farman Ali, Norazlin Ibrahim, Raed Alsini, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access | Times Cited: 1

Structure-aware machine learning strategies for antimicrobial peptide discovery
Mariana del Carmen Aguilera‐Puga, Fabien Plisson
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7

The Orchard Guard: Deep Learning powered apple leaf disease detection with MobileNetV2 model
Snehal J. Banarase, S. D. Shirbahadurkar
Journal of Integrated Science and Technology (2024) Vol. 12, Iss. 4
Open Access | Times Cited: 6

VEGF-ERCNN: A Deep Learning-based Model for Prediction of Vascular Endothelial Growth Factor using Ensemble Residual CNN
Farman Ali, Majdi Khalid, Atef Masmoudi, et al.
Journal of Computational Science (2024), pp. 102448-102448
Closed Access | Times Cited: 6

Deep-AGP: Prediction of angiogenic protein by integrating two-dimensional convolutional neural network with discrete cosine transform
Farman Ali, Wajdi Alghamdi, Alaa Omran Almagrabi, et al.
International Journal of Biological Macromolecules (2023) Vol. 243, pp. 125296-125296
Closed Access | Times Cited: 16

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

An omics-driven computational model for angiogenic protein prediction: Advancing therapeutic strategies with Ens-deep-AGP
Naif Almusallam, Farman Ali, Atef Masmoudi, et al.
International Journal of Biological Macromolecules (2024), pp. 136475-136475
Closed Access | Times Cited: 4

Whey as an Optimal Substrate for the Development of Functional Products Enriched with Bioactive Peptides
Margarita Saubenova, Yelena Oleinikova, Alexander Rapoport, et al.
(2024)
Open Access | Times Cited: 3

Peptide classification landscape: An in-depth systematic literature review on peptide types, databases, datasets, predictors architectures and performance
Muhammad Nabeel Asim, Tayyaba Asif, Faiza Mehmood, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109821-109821
Closed Access

IR-MBiTCN: Computational prediction of insulin receptor using deep learning: A multi-information fusion approach with multiscale bidirectional temporal convolutional network
Farman Ali, Atef Masmoudi, Tamim Alkhalifah, et al.
International Journal of Biological Macromolecules (2025) Vol. 311, pp. 143844-143844
Closed Access

A separable temporal convolutional networks based deep learning technique for discovering antiviral medicines
Vishakha Singh, Sanjay Kumar Singh
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8

A bi-layer model for identification of piwiRNA using deep neural learning
Adnan Adnan, Hongya Wang, Farman Ali, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 11, pp. 5725-5733
Closed Access | Times Cited: 8

Structure-aware machine learning strategies for antimicrobial peptide discovery
Mariana del Carmen Aguilera‐Puga, Fabien Plisson
Research Square (Research Square) (2024)
Open Access | Times Cited: 2

Prediction of anti-freezing proteins from their evolutionary profile
Nishant Kumar, Shubham Choudhury, Nisha Bajiya, et al.
(2024)
Closed Access | Times Cited: 2

Multi-headed Ensemble Residual CNN: A Powerful Tool for Fibroblast Growth Factor Prediction
Naif Almusallam, Farman Ali, Harish Kumar, et al.
Results in Engineering (2024) Vol. 24, pp. 103348-103348
Open Access | Times Cited: 2

Prediction of Anti‐Freezing Proteins From Their Evolutionary Profile
Nishant Kumar, Shubham Choudhury, Nisha Bajiya, et al.
PROTEOMICS (2024)
Closed Access | Times Cited: 1

CTD-Global (CTD-G): A novel composition, transition, and distribution based peptide sequence encoder for hormone peptide prediction
Hina Ghafoor, Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101578-101578
Open Access

Insect Brain Proteomics: A Case Study of Periplaneta americana
Jayaprada Rao Chunduri, Siddharth Sagar
Methods in molecular biology (2024), pp. 99-118
Closed Access

Adoption of machine learning systems within the health sector: a systematic review, synthesis and research agenda
Doreen Nkirote Bundi
Digital Transformation and Society (2023) Vol. 3, Iss. 1, pp. 99-120
Open Access | Times Cited: 1

Diagnostic Framework for Mumps Based on Deep Learning with Enhanced Mayfly Optimization Algorithm
S. Sudha Mercy, S. Madhavi, A Keerthika, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1

Pred-AHCP: Robust feature selection enabled Sequence-Specific Prediction of Anti-Hepatitis C Peptides via Machine Learning
Akash Saraswat, Utsav Sharma, Aryan Gandotra, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Pred-AHCP: Robust Feature Selection-Enabled Sequence-Specific Prediction of Anti-Hepatitis C Peptides via Machine Learning
Akash Saraswat, Utsav Sharma, Aryan Gandotra, et al.
Journal of Chemical Information and Modeling (2024)
Open Access

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