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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:

Prediction of Antifungal Activity of Antimicrobial Peptides by Transfer Learning from Protein Pretrained Models
Fernando Lobo, Maily Selena González, Alicia Boto, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 12, pp. 10270-10270
Open Access | Times Cited: 12

Showing 12 citing articles:

iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks
Shahid Akbar, Quan Zou, Ali Raza, et al.
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102860-102860
Closed Access | Times Cited: 53
Therapeutic Peptide Development Revolutionized: Harnessing the Power of Artificial Intelligence for Drug Discovery
Samaneh Hashemi, Parisa Vosough, Saeed Taghizadeh, et al.
Heliyon (2024) Vol. 10, Iss. 22, pp. e40265-e40265
Open Access | Times Cited: 9
DeepAFP: An effective computational framework for identifying antifungal peptides based on deep learning
Lantian Yao, Yuntian Zhang, Wenshuo Li, et al.
Protein Science (2023) Vol. 32, Iss. 10
Closed Access | Times Cited: 20
Advances of deep Neural Networks (DNNs) in the development of peptide drugs
Yuzhen Niu, Pingyang Qin, Ping Lin
Future Medicinal Chemistry (2025), pp. 1-15
Closed Access
In Silico Design and Synthesis of Antifungal Peptides Guided by Quantitative Antifungal Activity
Jin Zhang, Xinhao Sun, Hongwei Zhao, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 10, pp. 4277-4285
Closed Access | Times Cited: 2
dsAMP and dsAMPGAN: Deep Learning Networks for Antimicrobial Peptides Recognition and Generation
Min Zhao, Yu Zhang, M.Z. Wang, et al.
Antibiotics (2024) Vol. 13, Iss. 10, pp. 948-948
Open Access | Times Cited: 2
MLAFP-XN: Leveraging Neural Network Model for Development of Antifungal Peptide Identification Tool
Md. Fahim Sultan, Md. Shazzad Hossain Shaon, Tasmin Karim, et al.
Heliyon (2024) Vol. 10, Iss. 18, pp. e37820-e37820
Open Access | Times Cited: 1
Computational Prediction and Structural Analysis of α-Hairpinins, a Ubiquitous Family of Antimicrobial Peptides, Using the Cysmotif Searcher Pipeline
Anna A. Slavokhotova, Andrey Shelenkov, Е. А. Рогожин
Antibiotics (2024) Vol. 13, Iss. 11, pp. 1019-1019
Open Access | Times Cited: 1
Comparative Analysis of Machine Learning Approaches for Antimicrobial Peptide Prediction
Thirumurthy Madhavan, Anchita Das Sharma, S. Chowdhury, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 187-213
Closed Access
Cycle-ESM: Generation-assisted classification of antifungal peptides using ESM protein language model
Yiming Wang, Chun Fang
Computational Biology and Chemistry (2024) Vol. 113, pp. 108240-108240
Closed Access
Experimental Assays: Chemical Properties, Biochemical and Cellular Assays,and In Vivo Evaluations
Mateus Sá Magalhães Serafim, Erik Vinicius de Sousa Reis, Jordana Grazziela Alves Coelho-dos-Reis, et al.
(2024), pp. 347-383
Closed Access
Translocation of Antimicrobial Peptides across Model Membranes: The Role of Peptide Chain Length
Amanda Eriksson Skog, Nicolò Paracini, Yuri Gerelli, et al.
Molecular Pharmaceutics (2024)
Open Access
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