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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:

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: 19

Showing 19 citing articles:

Antimicrobial peptides: An alternative to traditional antibiotics
Shuaiqi Ji, Feiyu An, Taowei Zhang, et al.
European Journal of Medicinal Chemistry (2023) Vol. 265, pp. 116072-116072
Closed Access | Times Cited: 56
Deep Learning Combined with Quantitative Structure‒Activity Relationship Accelerates De Novo Design of Antifungal Peptides
Kedong Yin, Ruifang Li, Shaojie Zhang, et al.
Advanced Science (2025)
Open Access | Times Cited: 1
A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy
Jiahui Guan, Lantian Yao, Peilin Xie, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 9
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: 6
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
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
Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning
Jiahui Guan, Lantian Yao, Chia‐Ru Chung, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 24, pp. 7886-7898
Closed Access | Times Cited: 12
Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models
Nawa Raj Pokhrel, Keshab R. Dahal, Ramchandra Rimal, et al.
Software (2024) Vol. 3, Iss. 1, pp. 47-61
Open Access | Times Cited: 4
ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network
Lantian Yao, Peilin Xie, Jiahui Guan, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 4
Protein Language Models and Machine Learning Facilitate the Identification of Antimicrobial Peptides
David Medina-Ortiz, Sebastián Contreras, Diego Fernández, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 16, pp. 8851-8851
Open Access | Times Cited: 3
New Multi-View Feature Learning Method for Accurate Antifungal Peptide Detection
Sayeda Muntaha Ferdous, Shafayat Bin Shabbir Mugdha, Abdollah Dehzangi
Algorithms (2024) Vol. 17, Iss. 6, pp. 247-247
Open Access | Times Cited: 2
The intersection of artificial intelligence and mycology: Advancements and opportunities in fungal identification
Shiraz Khurana, Sakshi Arora
Methods in microbiology (2024), pp. 195-212
Closed Access | Times Cited: 1
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
DeepBP: Ensemble deep learning strategy for bioactive peptide prediction
Ming Zhang, Jianling Zhou, Xiaohua Wang, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open 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
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
Alg-MFDL: A multi-feature deep learning framework for allergenic proteins prediction
Xiang Hu, Jingyi Li, Taigang Liu
Analytical Biochemistry (2024), pp. 115701-115701
Closed Access
Enhanced prediction of hemolytic activity in antimicrobial peptides using deep learning-based sequence analysis
Ibrahim Abdelbaky, Mohamed Elhakeem, Hilal Tayara, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access
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