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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:

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

Showing 1-25 of 71 citing articles:

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: 52
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics
Kyle Swanson, Gary Liu, Denise B. Catacutan, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 3, pp. 338-353
Closed Access | Times Cited: 50
Structure–activity relationships of antibacterial peptides
Maria Gessica Ciulla, Fabrizio Gelain
Microbial Biotechnology (2023) Vol. 16, Iss. 4, pp. 757-777
Open Access | Times Cited: 45
AI Methods for Antimicrobial Peptides: Progress and Challenges
Carlos A. Brizuela, Gary Liu, J Stokes, et al.
Microbial Biotechnology (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 3
Advances in Antimicrobial Peptide Discovery via Machine Learning and Delivery via Nanotechnology
Alexa Sowers, Guangshun Wang, Malcolm Xing, et al.
Microorganisms (2023) Vol. 11, Iss. 5, pp. 1129-1129
Open Access | Times Cited: 27
Deep learning tools to accelerate antibiotic discovery
Angela Cesaro, Mojtaba Bagheri, Marcelo D. T. Torres, et al.
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 11, pp. 1245-1257
Closed Access | Times Cited: 27
Geometric deep learning as a potential tool for antimicrobial peptide prediction
Fabiano C. Fernandes, Marlon H. Cardoso, Abel Gil-Ley, et al.
Frontiers in Bioinformatics (2023) Vol. 3
Open Access | Times Cited: 25
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: 25
Immunomodulation, Bioavailability and Safety of Bacteriocins
Svetlana V. Guryanova
Life (2023) Vol. 13, Iss. 7, pp. 1521-1521
Open Access | Times Cited: 24
Machine Learning-Enabled Genome Mining and Bioactivity Prediction of Natural Products
Yujie Yuan, Chengyou Shi, Huimin Zhao
ACS Synthetic Biology (2023) Vol. 12, Iss. 9, pp. 2650-2662
Open Access | Times Cited: 23
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
From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance – a Comprehensive Review
José Manuel Pérez de la Lastra, Samuel J. T. Wardell, Tarun Pal, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 14
Harnessing AI for Enhanced Screening of Antimicrobial Bioactive Compounds in Food Safety and Preservation
Mengyue Zhou, Juliana Pinto de Lima, Hefei Zhao, et al.
Trends in Food Science & Technology (2025), pp. 104887-104887
Closed Access | Times Cited: 1
The NIH Comparative Genomics Resource: addressing the promises and challenges of comparative genomics on human health
Kristin Bornstein, Gary Gryan, E. Sally Chang, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 18
PepNet: an interpretable neural network for anti-inflammatory and antimicrobial peptides prediction using a pre-trained protein language model
Jiyun Han, Tongxin Kong, Juntao Liu
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 8
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
Advancements in peptide-based antimicrobials: A possible option for emerging drug-resistant infections
Nitin Yadav, Virander S. Chauhan
Advances in Colloid and Interface Science (2024) Vol. 333, pp. 103282-103282
Closed Access | Times Cited: 6
Strategies to Mitigate and Treat Orthopaedic Device-Associated Infections
Darragh G. Kennedy, Aoife O’Mahony, Eamonn P. Culligan, et al.
Antibiotics (2022) Vol. 11, Iss. 12, pp. 1822-1822
Open Access | Times Cited: 27
Rotating machinery fault diagnosis based on optimized Hilbert curve images and a novel bi-channel CNN with attention mechanism
Kun Sun, Dongdong Liu, Lingli Cui
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125022-125022
Closed Access | Times Cited: 15
Activity and mechanism of action of antimicrobial peptide ACPs against Candida albicans
K Zou, Kedong Yin, Shiming Ren, et al.
Life Sciences (2024) Vol. 350, pp. 122767-122767
Closed Access | Times Cited: 5
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
Multi-dimensional deep learning drives efficient discovery of novel neuroprotective peptides from walnut protein isolates
Like Lin, Cong Li, Li Zhang, et al.
Food & Function (2023) Vol. 14, Iss. 15, pp. 6969-6984
Closed Access | Times Cited: 12
AI-driven antimicrobial peptides for drug development
Y. K. Arora, H. B. Lalwani, Ajay Kumar, et al.
Methods in microbiology (2025)
Closed Access
Artificial intelligence for the discovery of antimicrobial peptides
Paola Ruiz Puentes, Nicolás Aparicio, Pablo Arbeláez
Elsevier eBooks (2025), pp. 59-79
Closed Access
Deep Learning for Antimicrobial Peptides: Computational Models and Databases
Xiangrun Zhou, Guixia Liu, Shuyuan Cao, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
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