Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Anthem: a user customised tool for fast and accurate prediction of binding between peptides and HLA class I molecules
Shutao Mei, Fuyi Li, Dongxu Xiang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 5
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

A transformer-based model to predict peptide–HLA class I binding and optimize mutated peptides for vaccine design
Yanyi Chu, Yan Zhang, Qiankun Wang, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 3, pp. 300-311
Open Access | Times Cited: 118
Informing immunotherapy with multi-omics driven machine learning
Yawei Li, Wu Xin, Deyu Fang, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 24
DeepIPs: comprehensive assessment and computational identification of phosphorylation sites of SARS-CoV-2 infection using a deep learning-based approach
Hao Lv, Fanny Dao, Hasan Zulfiqar, et al.
Briefings in Bioinformatics (2021)
Open Access | Times Cited: 78
Positive-unlabeled learning in bioinformatics and computational biology: a brief review
Fuyi Li, Shuangyu Dong, André Leier, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 56
Artificial intelligence applied in neoantigen identification facilitates personalized cancer immunotherapy
Yu Cai, Rui Chen, Shenghan Gao, et al.
Frontiers in Oncology (2023) Vol. 12
Open Access | Times Cited: 36
TEINet: a deep learning framework for prediction of TCR–epitope binding specificity
Yuepeng Jiang, Miaozhe Huo, Shuai Cheng Li
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Open Access | Times Cited: 34
STAPLER: Efficient learning of TCR-peptide specificity prediction from full-length TCR-peptide data
Bjørn P. Y. Kwee, Marius Messemaker, Eric Marcus, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 25
A unified cross-attention model for predicting antigen binding specificity to both HLA and TCR molecules
Chenpeng Yu, Xing Fang, Shiye Tian, et al.
Nature Machine Intelligence (2025)
Closed Access | Times Cited: 1
TransHLA: a Hybrid Transformer model for HLA-presented epitope detection
Tianchi Lu, Xueying Wang, Wan Nie, et al.
GigaScience (2025) Vol. 14
Open Access | Times Cited: 1
HLAB: learning the BiLSTM features from the ProtBert-encoded proteins for the class I HLA-peptide binding prediction
Yaqi Zhang, Gancheng Zhu, Kewei Li, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Open Access | Times Cited: 32
TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning
Meng Wang, Chuqi Lei, Jianxin Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 6
dbPepNeo2.0: A Database for Human Tumor Neoantigen Peptides From Mass Spectrometry and TCR Recognition
Manman Lu, Linfeng Xu, Xingxing Jian, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 24
MHCpLogics: an interactive machine learning-based tool for unsupervised data visualization and cluster analysis of immunopeptidomes
Mohammad Shahbazy, Sri H. Ramarathinam, Chen Li, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 5
CapsNet-MHC predicts peptide-MHC class I binding based on capsule neural networks
Mahmood Kalemati, Saeid Darvishi, Somayyeh Koohi
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 12
The clinical application of artificial intelligence in cancer precision treatment
Jinyu Wang, Ziyi Zeng, Zehua Li, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
A unified deep framework for peptide–major histocompatibility complex–T cell receptor binding prediction
Yunxiang Zhao, Jijun Yu, Yixin Su, et al.
Nature Machine Intelligence (2025)
Open Access
STMHCpan, an accurate Star-Transformer-based extensible framework for predicting MHC I allele binding peptides
Zheng Ye, Shaohao Li, Xue Mi, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 10
A comprehensive assessment and comparison of tools for HLA class I peptide-binding prediction
Meng Wang, Lukasz Kurgan, Min Li
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 9
Enhancing antigenic peptide discovery: Improved MHC-I binding prediction and methodology
Stanisław Giziński, Grzegorz Preibisch, Piotr Kucharski, et al.
Methods (2024) Vol. 224, pp. 1-9
Closed Access | Times Cited: 3
Staem5: A novel computational approach for accurate prediction of m5C site
Di Chai, Cangzhi Jia, Jia Zheng, et al.
Molecular Therapy — Nucleic Acids (2021) Vol. 26, pp. 1027-1034
Open Access | Times Cited: 23
T Cell Epitope Discovery in the Context of Distinct and Unique Indigenous HLA Profiles
Luca Hensen, Patricia T. Illing, Louise C. Rowntree, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 15
Immunolyser: A web-based computational pipeline for analysing and mining immunopeptidomic data
Prithvi Raj Munday, Joshua Fehring, Jerico Revote, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 1678-1687
Open Access | Times Cited: 7
ProsperousPlus: a one-stop and comprehensive platform for accurate protease-specific substrate cleavage prediction and machine-learning model construction
Fuyi Li, Cong Wang, Xudong Guo, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Closed Access | Times Cited: 7
TransfIGN: A Structure-Based Deep Learning Method for Modeling the Interaction between HLA-A*02:01 and Antigen Peptides
Nanqi Hong, Dejun Jiang, Zhe Wang, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 13, pp. 5016-5027
Closed Access | Times Cited: 2
HLAncPred: a method for predicting promiscuous non-classical HLA binding sites
Anjali Dhall, Sumeet Patiyal, Gajendra P. S. Raghava
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Open Access | Times Cited: 12
Page 1 - Next Page

Scroll to top