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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:

AFP-MFL: accurate identification of antifungal peptides using multi-view feature learning
Yitian Fang, Fan Xu, Lesong Wei, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks
Shahid Akbar, Quan Zou, Ali Raza, et al.
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102860-102860
Closed Access | Times Cited: 53
ERNIE-ac4C: A novel deep learning model for effectively predicting N4-acetylcytidine sites
Ronglin Lu, Jianbo Qiao, Kaixiang Li, et al.
Journal of Molecular Biology (2025), pp. 168978-168978
Closed Access | Times Cited: 1
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: 20
ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview information
Shaherin Basith, Nhat Truong Pham, Minkyung Song, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107386-107386
Closed Access | Times Cited: 19
Prediction of protein-ATP binding residues using multi-view feature learning via contextual-based co-attention network
Jia‐shun Wu, Yan Liu, Fang Ge, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108227-108227
Closed Access | Times Cited: 7
Classification of bioactive peptides: A systematic benchmark of models and encodings
Edoardo Bizzotto, Guido Zampieri, Laura Treu, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2442-2452
Open Access | Times Cited: 6
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
Interpretable feature extraction and dimensionality reduction in ESM2 for protein localization prediction
Zeyu Luo, Rui Wang, Yawen Sun, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 2
Open Access | Times Cited: 11
PDNAPred: Interpretable prediction of protein-DNA binding sites based on pre-trained protein language models
Lingrong Zhang, Taigang Liu
International Journal of Biological Macromolecules (2024), pp. 136147-136147
Closed Access | Times Cited: 4
DLBWE-Cys: a deep-learning-based tool for identifying cysteine S-carboxyethylation sites using binary-weight encoding
Zhengtao Luo, Qingyong Wang, Yingchun Xia, et al.
Frontiers in Genetics (2025) Vol. 15
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
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
ATP-Pred: Prediction of Protein-ATP Binding Residues via Fusion of Residue-Level Embeddings and Kolmogorov–Arnold Network
Lingrong Zhang, Taigang Liu
Journal of Chemical Information and Modeling (2025)
Closed Access
How Machine Learning Helps in Combating Antimicrobial Resistance: A Review of AMP Analysis and Generation Methods
Khalit Musin, Elvina Asyanova
International Journal of Peptide Research and Therapeutics (2025) Vol. 31, Iss. 4
Closed Access
IAS-FET: An intelligent assistant system and an online platform for enhancing successful rate of in-vitro fertilization embryo transfer technology based on clinical features
Ying Ma, Bowen Zhang, Zhao‐Qing Liu, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 245, pp. 108050-108050
Closed Access | Times Cited: 3
ACP-ESM2: The prediction of anticancer peptides based on pre-trained classifier
Huijia Song, Xiaozhu Lin, Huainian Zhang, et al.
Computational Biology and Chemistry (2024) Vol. 110, pp. 108091-108091
Closed Access | Times Cited: 3
Bi-level Deep Feature Synthesis Through Variational Autoencoder For Predicting Peptide Antiviral Activity Using Optimized Deep Ensemble
Aditya Kumar, Deepak Kumar Singh
Expert Systems with Applications (2025), pp. 128093-128093
Closed Access
DeepPepPI: A deep cross-dependent framework with information sharing mechanism for predicting plant peptide-protein interactions
Zhaowei Wang, Jun Meng, Qiguo Dai, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124168-124168
Closed Access | Times Cited: 3
Research on Bitter Peptides in the Field of Bioinformatics: A Comprehensive Review
Shanghua Liu, Tianyu Shi, Junwen Yu, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 18, pp. 9844-9844
Open Access | Times Cited: 3
TMSC-m7G: A transformer architecture based on multi-sense-scaled embedding features and convolutional neural network to identify RNA N7-methylguanosine sites
Shengli Zhang, Yujie Xu, Yunyun Liang
Computational and Structural Biotechnology Journal (2023) Vol. 23, pp. 129-139
Open Access | Times Cited: 7
AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides
Shengli Zhang, Ya Zhao, Yunyun Liang
Bioinformatics (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 2
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
Umami-gcForest: Construction of a predictive model for umami peptides based on deep forest
Shuaiqi Ji, Junrui Wu, Feiyu An, et al.
Food Chemistry (2024) Vol. 464, pp. 141826-141826
Closed Access | Times Cited: 2
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
A deep learning model for anti-inflammatory peptides identification based on deep variational autoencoder and contrastive learning
Yujie Xu, Shengli Zhang, Feng Zhu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
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