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:

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: 20

Showing 20 citing articles:

Painting Peptides with Antimicrobial Potency through Deep Reinforcement Learning
Ruihan Dong, Qiushi Cao, Chen Song
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access

Characterization of Novel Plantaricin-Derived Antiviral Peptides Against Flaviviruses
Abubakr A. M. Omer, Sanjiv Kumar, Robert Selegård, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 3, pp. 1038-1038
Open 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

AMP-Atlas: Comprehensive Atlas of Antimicrobial Peptides to Combat Multidrug-resistant Bacteria
Yuki Otani, Daisuke Koga, Yasunari Wakizaka, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access

Advancements in Antibacterial Therapy: Feature Papers
Giancarlo Angeles Flores, Gaia Cusumano, Roberto Venanzoni, et al.
Microorganisms (2025) Vol. 13, Iss. 3, pp. 557-557
Open Access

LncRNA–miRNA interactions prediction based on meta‐path similarity and Gaussian kernel similarity
Jingxuan Xie, Peng Xu, Lin Ye, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 19
Open Access | Times Cited: 4

Predicting the potential associations between circRNA and drug sensitivity using a multisource feature‐based approach
Shuaidong Yin, Peng Xu, Yefeng Jiang, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 19
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

Recent approaches in the application of antimicrobial peptides in food preservation
Satparkash Singh, Bhavna Jha, Pratiksha Tiwari, et al.
World Journal of Microbiology and Biotechnology (2024) Vol. 40, Iss. 10
Closed Access | Times Cited: 3

Predicting potential microbe–disease associations based on dual branch graph convolutional network
Jing Chen, Yongjun Zhu, Qun Yuan
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 15
Open Access | Times Cited: 2

An Ensemble Deep Learning Model for Predicting Minimum Inhibitory Concentrations of Antimicrobial Peptides Against Pathogenic Bacteria
Chia‐Ru Chung, Chung-Yu Chien, Yun Tang, et al.
iScience (2024) Vol. 27, Iss. 9, pp. 110718-110718
Open Access | Times Cited: 2

Microbe–disease associations prediction by graph regularized non‐negative matrix factorization with L2,1$$ {L}_{2,1} $$ norm regularization terms
Ziwei Chen, Liangzhe Zhang, Jingyi Li, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 17
Open Access | Times Cited: 2

HPTRMF: Collaborative Matrix Factorization-Based Prediction Method for LncRNA-Disease Associations Using High-Order Perturbation and Flexible Trifactor Regularization
Guobo Xie, Dayin Li, Zhiyi Lin, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 1

Advances in Artificially Designed Antibacterial Active Antimicrobial Peptides
Ying Guo, Muhammad Haris Raza Farhan, Fei Gan, et al.
Biotechnology and Bioengineering (2024)
Closed Access | Times Cited: 1

Applying Machine Learning for Antibiotic Development and Prediction of Microbial Resistance
Apurva Panjla, Saurabh Joshi, Geetanjali Singh, et al.
Chemistry - An Asian Journal (2024)
Closed Access

Dual-neighbourhood information aggregation and feature fusion for prediction of miRNA–disease association
Wei Liu, Zixin Lan, Zejun Li, et al.
Computers in Biology and Medicine (2024) Vol. 181, pp. 109068-109068
Closed Access

CMFHMDA: a prediction framework for human disease-microbe associations based on cross-domain matrix factorization
Jing Chen, Ran Tao, Yi Qiu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access

MKAN-MMI: empowering traditional medicine-microbe interaction prediction with masked graph autoencoders and KANs
Sheng Ye, Jue D. Wang, Mingmin Zhu, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access

dbAMP 3.0: updated resource of antimicrobial activity and structural annotation of peptides in the post-pandemic era
Lantian Yao, Jiahui Guan, Peilin Xie, et al.
Nucleic Acids Research (2024) Vol. 53, Iss. D1, pp. D364-D376
Open Access

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