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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:

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

Showing 19 citing articles:

Deep learning for advancing peptide drug development: Tools and methods in structure prediction and design
Xinyi Wu, Huitian Lin, Renren Bai, et al.
European Journal of Medicinal Chemistry (2024) Vol. 268, pp. 116262-116262
Closed Access | Times Cited: 13
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: 10
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
ACP-DRL: an anticancer peptides recognition method based on deep representation learning
Xiaofang Xu, Chaoran Li, Xinpu Yuan, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 5
CELA-MFP: a contrast-enhanced and label-adaptive framework for multi-functional therapeutic peptides prediction
Yitian Fang, Mingshuang Luo, Zhixiang Ren, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 5
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
Prediction of Chemically Modified Antimicrobial Peptides and Their Sub-functional Activities Using Hybrid Features
Yan Yao, Dai-Jun Zhang, Henghui Fan, et al.
Probiotics and Antimicrobial Proteins (2025)
Closed Access
SME-MFP: A novel spatiotemporal neural network with multiangle initialization embedding toward multifunctional peptides prediction
Jing Xu, Xiaoli Ruan, Jing Yang, et al.
Computational Biology and Chemistry (2024) Vol. 109, pp. 108033-108033
Closed Access | Times Cited: 1
Crispr-SGRU: Prediction of CRISPR/Cas9 Off-Target Activities with Mismatches and Indels Using Stacked BiGRU
Guishan Zhang, Ye Luo, Huanzeng Xie, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 20, pp. 10945-10945
Open Access | Times Cited: 1
iMFP-LG: Identification of Novel Multi-Functional Peptides by Using Protein Language Models and Graph-Based Deep Learning
Jiawei Luo, Kejuan Zhao, Junjie Chen, et al.
Genomics Proteomics & Bioinformatics (2024)
Open Access | Times Cited: 1
misORFPred: A Novel Method to Mine Translatable sORFs in Plant Pri-miRNAs Using Enhanced Scalable k-mer and Dynamic Ensemble Voting Strategy
Haibin Li, Jun Meng, Zhaowei Wang, et al.
Interdisciplinary Sciences Computational Life Sciences (2024)
Closed Access | Times Cited: 1
Comprehensive Machine Learning Analysis of Long and Middle Peptides: Supervised and Unsupervised Approaches
Ahmed Elgabry, Antonious Saleh, Omar Saeed
Deleted Journal (2024) Vol. 1, Iss. 1, pp. 8-15
Open Access
Predicting multifunctional peptides based on a multi-scale ResNet model combined with channel attention mechanisms
Jing Liu, Hongpu Zhao, Yu Zhang, et al.
Electronic Research Archive (2024) Vol. 32, Iss. 4, pp. 2921-2935
Open Access
Pred-AHCP: Robust feature selection enabled Sequence-Specific Prediction of Anti-Hepatitis C Peptides via Machine Learning
Akash Saraswat, Utsav Sharma, Aryan Gandotra, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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
Peptidomics and machine-learning-based evaluation of ncRNA-derived micropeptides in breast cancer: Expression patterns and functional/therapeutic insights.
Alexandre Luiz Korte de Azevedo, Talita Helen Bombardelli Gomig, Michel Batista, et al.
Laboratory Investigation (2024) Vol. 104, Iss. 12, pp. 102150-102150
Closed Access
Predicting variable-length ACE inhibitory peptides based on graph convolutional network
Yue Rong, Baolong Feng, Xiao‐Shuang Cai, et al.
International Journal of Biological Macromolecules (2024), pp. 137060-137060
Closed Access
AMHF‐TP: Multifunctional therapeutic peptides prediction based on multi‐granularity hierarchical features
Shouheng Tuo, YanLing Zhu, Jack J. Lin, et al.
Quantitative Biology (2024) Vol. 13, Iss. 1
Closed Access
DeepPD: A Deep Learning Method for Predicting Peptide Detectability Based on Multi-feature Representation and Information Bottleneck
Fenglin Li, Yannan Bin, Jianping Zhao, et al.
Interdisciplinary Sciences Computational Life Sciences (2024)
Closed Access
Identification of Multi-functional Therapeutic Peptides Based on Prototypical Supervised Contrastive Learning
Sitong Niu, Henghui Fan, Fei Wang, et al.
Interdisciplinary Sciences Computational Life Sciences (2024)
Closed Access
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