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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:

iAMP-CA2L: a new CNN-BiLSTM-SVM classifier based on cellular automata image for identifying antimicrobial peptides and their functional types
Xuan Xiao, Yutao Shao, Xiang Cheng, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Identification of antimicrobial peptides from the human gut microbiome using deep learning
Yue Ma, Zhengyan Guo, Binbin Xia, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 6, pp. 921-931
Closed Access | Times Cited: 302
A review on antimicrobial peptides databases and the computational tools
Shahin Ramazi, Neda Mohammadi, Abdollah Allahverdi, et al.
Database (2022) Vol. 2022
Open Access | Times Cited: 91
Machine learning for antimicrobial peptide identification and design
Fangping Wan, Felix Wong, James J. Collins, et al.
Nature Reviews Bioengineering (2024) Vol. 2, Iss. 5, pp. 392-407
Closed Access | Times Cited: 42
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: 40
Diff-AMP: tailored designed antimicrobial peptide framework with all-in-one generation, identification, prediction and optimization
Rui Wang, Tao Wang, Linlin Zhuo, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 21
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: 67
Design Methods for Antimicrobial Peptides with Improved Performance
James Mwangi, Peter Muiruri Kamau, Rebecca Caroline Thuku, et al.
动物学研究 (2023)
Open Access | Times Cited: 23
iAMP-Attenpred: a novel antimicrobial peptide predictor based on BERT feature extraction method and CNN-BiLSTM-Attention combination model
Wenxuan Xing, Jie Zhang, Chen Li, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 22
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: 12
deep-AMPpred: A Deep Learning Method for Identifying Antimicrobial Peptides and Their Functional Activities
Jun Zhao, Hangcheng Liu, Liang‐I Kang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access | Times Cited: 1
StaBle-ABPpred: a stacked ensemble predictor based on biLSTM and attention mechanism for accelerated discovery of antibacterial peptides
Vishakha Singh, Sameer Shrivastava, Sanjay Kumar Singh, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 45
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: 32
PrMFTP: Multi-functional therapeutic peptides prediction based on multi-head self-attention mechanism and class weight optimization
Wenhui Yan, Wending Tang, Lihua Wang, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 9, pp. e1010511-e1010511
Open Access | Times Cited: 30
Deep learning-based multi-functional therapeutic peptides prediction with a multi-label focal dice loss function
Henghui Fan, Wenhui Yan, Lihua Wang, et al.
Bioinformatics (2023) Vol. 39, Iss. 6
Open Access | Times Cited: 19
Perspectives in Searching Antimicrobial Peptides (AMPs) Produced by the Microbiota
Luigui Gallardo-Becerra, Melany Cervantes-Echeverría, Fernanda Cornejo‐Granados, et al.
Microbial Ecology (2023) Vol. 87, Iss. 1
Open Access | Times Cited: 19
Accelerating the Discovery and Design of Antimicrobial Peptides with Artificial Intelligence
Mariana del Carmen Aguilera‐Puga, Natalia L. Cancelarich, Mariela M. Marani, et al.
Methods in molecular biology (2023), pp. 329-352
Closed Access | Times Cited: 17
Novel antimicrobial peptides against Cutibacterium acnes designed by deep learning
Qichang Dong, Shaohua Wang, Ying Miao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Screening antimicrobial peptides and probiotics using multiple deep learning and directed evolution strategies
Yu Zhang, Lihua Liu, Bo Xu, et al.
Acta Pharmaceutica Sinica B (2024) Vol. 14, Iss. 8, pp. 3476-3492
Open Access | Times Cited: 6
CapsNet-LDA: predicting lncRNA-disease associations using attention mechanism and capsule network based on multi-view data
Zequn Zhang, Junlin Xu, Yanan Wu, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 26
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
MSCMamba: Prediction of Antimicrobial Peptide Activity Values by Fusing Multiscale Convolution with Mamba Module
Mingyue He, Yongquan Jiang, Yan Yang, et al.
The Journal of Physical Chemistry B (2025)
Closed 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
Deep Learning Accelerates the Development of Antimicrobial Peptides Comprising 15 Amino Acids
Yuchen Hu, Junchao Zhou, Yuhang Gao, et al.
Assay and Drug Development Technologies (2025)
Closed Access
AntiDMPpred: a web service for identifying anti-diabetic peptides
Xue Chen, Jian Huang, Bifang He
PeerJ (2022) Vol. 10, pp. e13581-e13581
Open Access | Times Cited: 20
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
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