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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:

Deep-AVPpred: Artificial Intelligence Driven Discovery of Peptide Drugs for Viral Infections
Ritesh Sharma, Sameer Shrivastava, Sanjay Kumar Singh, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 10, pp. 5067-5074
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

MLCPP 2.0: An Updated Cell-penetrating Peptides and Their Uptake Efficiency Predictor
Balachandran Manavalan, Mahesh Chandra Patra
Journal of Molecular Biology (2022) Vol. 434, Iss. 11, pp. 167604-167604
Closed Access | Times Cited: 73
Recent Progress in the Discovery and Design of Antimicrobial Peptides Using Traditional Machine Learning and Deep Learning
Jielu Yan, Jianxiu Cai, Bob Zhang, et al.
Antibiotics (2022) Vol. 11, Iss. 10, pp. 1451-1451
Open Access | Times Cited: 71
iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities
Jing Xu, Fuyi Li, Chen Li, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 42
MLACP 2.0: An updated machine learning tool for anticancer peptide prediction
Le Thi Phan, Hyun Woo Park, Thejkiran Pitti, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 4473-4480
Open Access | Times Cited: 49
The role and future prospects of artificial intelligence algorithms in peptide drug development
Zhiheng Chen, Ruoxi Wang, Junqi Guo, et al.
Biomedicine & Pharmacotherapy (2024) Vol. 175, pp. 116709-116709
Open Access | Times Cited: 15
Predicting Antimicrobial Peptides Using ESMFold-Predicted Structures and ESM-2-Based Amino Acid Features with Graph Deep Learning
Greneter Cordoves‐Delgado, César R. García‐Jacas
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 10, pp. 4310-4321
Closed Access | Times Cited: 15
Do deep learning models make a difference in the identification of antimicrobial peptides?
César R. García‐Jacas, Sergio A. Pinacho-Castellanos, Luis A. García‐González, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 33
Innovative applications of artificial intelligence in zoonotic disease management
Wenqiang Guo, Chenrui Lv, Meng Guo, et al.
Science in One Health (2023) Vol. 2, pp. 100045-100045
Open Access | Times Cited: 18
Examining evolutionary scale modeling‐derived different‐dimensional embeddings in the antimicrobial peptide classification through a KNIME workflow
Karla L. Martínez‐Mauricio, César R. García‐Jacas, Greneter Cordoves‐Delgado
Protein Science (2024) Vol. 33, Iss. 4
Closed Access | Times Cited: 8
Accelerating the discovery of antifungal peptides using deep temporal convolutional networks
Vishakha Singh, Sameer Shrivastava, Sanjay Kumar Singh, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 23
OMICs Technologies for Natural Compounds-based Drug Development
Abdullahi Tunde Aborode, Wireko Andrew Awuah, Tatiana Mikhailova, et al.
Current Topics in Medicinal Chemistry (2022) Vol. 22, Iss. 21, pp. 1751-1765
Closed Access | Times Cited: 19
Artificial intelligence for the discovery of antimicrobial peptides
Paola Ruiz Puentes, Nicolás Aparicio, Pablo Arbeláez
Elsevier eBooks (2025), pp. 59-79
Closed Access
Exploring the repository of de novo designed bifunctional antimicrobial peptides through deep learning
Ruihan Dong, Rongrong Liu, Ziyu Liu, et al.
(2025)
Open Access
VITALdb: to select the best viroinformatics tools for a desired virus or application
M. K. Koul, Shalini kaushik, Kavya Singh, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Exploring the repository of de novo-designed bifunctional antimicrobial peptides through deep learning
Ruihan Dong, Rongrong Liu, Ziyu Liu, et al.
eLife (2025) Vol. 13
Open Access
A novel framework based on explainable AI and genetic algorithms for designing neurological medicines
Vishakha Singh, Sanjay Kumar Singh, Ritesh Sharma
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
XAI-INVENT: An explainable artificial intelligence based framework for rapid discovery of novel antibiotics
Ritesh Sharma, Sameer Shrivastava, Sanjay Kumar Singh, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110098-110098
Closed Access
Review and perspective on bioinformatics tools using machine learning and deep learning for predicting antiviral peptides
Nicolás Lefin, Lisandra Herrera-Belén, Jorge G. Farías, et al.
Molecular Diversity (2023) Vol. 28, Iss. 4, pp. 2365-2374
Closed Access | Times Cited: 9
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
Rational Design of Antiviral Therapeutics
Sneha Dokhale, Samiksha Garse, Shine Devarajan, et al.
(2024), pp. 423-443
Closed Access | Times Cited: 3
Viral informatics: bioinformatics-based solution for managing viral infections
Sanjay Kumar, Geethu S. Kumar, Subhrangsu Sundar Maitra, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 14
EnDL-HemoLyt: Ensemble Deep Learning-Based Tool for Identifying Therapeutic Peptides With Low Hemolytic Activity
Ritesh Sharma, Sameer Shrivastava, Sanjay Kumar Singh, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 1896-1905
Closed Access | Times Cited: 7
Artificial Intelligence-Based Model for Predicting the Minimum Inhibitory Concentration of Antibacterial Peptides Against ESKAPEE Pathogens
Ritesh Sharma, Sameer Shrivastava, Sanjay Kumar Singh, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 1949-1958
Closed Access | Times Cited: 7
AntiViralDL: Computational Antiviral Drug Repurposing Using Graph Neural Network and Self-Supervised Learning
Pan Zhang, Xiaowen Hu, Guangdi Li, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 1, pp. 548-556
Closed Access | Times Cited: 7
Multi-scale temporal convolutional networks and continual learning based in silico discovery of alternative antibiotics to combat multi-drug resistance
Vishakha Singh, Sameer Shrivastava, Sanjay Kumar Singh, et al.
Expert Systems with Applications (2022) Vol. 215, pp. 119295-119295
Closed Access | Times Cited: 10
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