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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:

BERTMHC: improved MHC–peptide class II interaction prediction with transformer and multiple instance learning
Jun Cheng, Kaïdre Bendjama, Karola Rittner, et al.
Bioinformatics (2021) Vol. 37, Iss. 22, pp. 4172-4179
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Transformer-based deep learning for predicting protein properties in the life sciences
Abel Chandra, Laura Tünnermann, Tommy Löfstedt, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 90
Leveraging mRNA technology for antigen based immuno-oncology therapies
Charalampos S. Floudas, Siranush Sarkizova, Michele Ceccarelli, et al.
Journal for ImmunoTherapy of Cancer (2025) Vol. 13, Iss. 1, pp. e010569-e010569
Open Access | Times Cited: 1
Leveraging transformers‐based language models in proteome bioinformatics
Nguyen Quoc Khanh Le
PROTEOMICS (2023) Vol. 23, Iss. 23-24
Closed Access | Times Cited: 35
Deep learning in structural bioinformatics: current applications and future perspectives
Niranjan Kumar, Rakesh Srivastava
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 11
Large language models in bioinformatics: applications and perspectives
Jiajia Liu, Mengyuan Yang, Yankai Yu, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 8
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
Neoantigens in precision cancer immunotherapy: from identification to clinical applications
Qiao Zhang, Qingzhu Jia, Jing Zhang, et al.
Chinese Medical Journal (2022) Vol. 135, Iss. 11, pp. 1285-1298
Open Access | Times Cited: 28
MHCII-peptide presentation: an assessment of the state-of-the-art prediction methods
Yaqing Yang, Zhonghui Wei, Gabriel Cia, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 6
The role of artificial intelligence in crop improvement
Karlene L. Negus, Xianran Li, Stephen M. Welch, et al.
Advances in agronomy (2024), pp. 1-66
Closed Access | Times Cited: 5
Large-scale transcript variants dictate neoepitopes for cancer immunotherapy
Shiliang Ji, Feifan Wang, Yongjie Wu, et al.
Science Advances (2025) Vol. 11, Iss. 5
Open Access
DeepMHCII: a novel binding core-aware deep interaction model for accurate MHC-II peptide binding affinity prediction
Ronghui You, Wei Qu, Hiroshi Mamitsuka, et al.
Bioinformatics (2022) Vol. 38, Iss. Supplement_1, pp. i220-i228
Open Access | Times Cited: 23
ConvNeXt-MHC: improving MHC–peptide affinity prediction by structure-derived degenerate coding and the ConvNeXt model
Le Zhang, Wenkai Song, Tinghao Zhu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 5
Structure-aware deep model for MHC-II peptide binding affinity prediction
Yingyan Yu, Lipeng Zu, Jiaye Jiang, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 4
Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy
Alla Bulashevska, Zsófia Nacsa, Franziska Lang, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 4
Fast and accurate modeling of TCR-peptide-MHC complexes using tFold-TCR
Fandi Wu, Yu Zhao, Yang Xiao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine
Sakhaa B. Alsaedi, Xin Gao, Takashi Gojobori
FEBS Open Bio (2025)
Open Access
Exploring diverse approaches for predicting interferon-gamma release: utilizing MHC class II and peptide sequences
A A Omran, Alexander Amberg, Gerhard F. Ecker
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Machine Learning Approaches to TCR Repertoire Analysis
Yotaro Katayama, Ryo Yokota, Taishin Akiyama, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 21
Improved prediction of MHC-peptide binding using protein language models
Nasser Hashemi, Boran Hao, Mikhail Ignatov, et al.
Frontiers in Bioinformatics (2023) Vol. 3
Open Access | Times Cited: 11
RPEMHC: improved prediction of MHC–peptide binding affinity by a deep learning approach based on residue–residue pair encoding
Xuejiao Wang, Tingfang Wu, Yelu Jiang, et al.
Bioinformatics (2024) Vol. 40, Iss. 1
Open Access | Times Cited: 3
Sliding Window INteraction Grammar (SWING): a generalized interaction language model for peptide and protein interactions
Alisa A. Omelchenko, Jane C. Siwek, Prabal Chhibbar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Vaccine development using artificial intelligence and machine learning: A review
Varun Asediya, Pranav Anjaria, R. A. Mathakiya, et al.
International Journal of Biological Macromolecules (2024), pp. 136643-136643
Closed Access | Times Cited: 3
Chemical complexity challenge: Is multi‐instance machine learning a solution?
Dmitry Zankov, Timur Madzhidov, Alexandre Varnek, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 8
A Highly Effective System for Predicting MHC-II Epitopes With Immunogenicity
Shi Xu, Xiao Hua Wang, Caiyi Fei
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 13
Attentive Variational Information Bottleneck for TCR–peptide interaction prediction
Filippo Grazioli, Pierre Machart, Anja Mösch, et al.
Bioinformatics (2022) Vol. 39, Iss. 1
Open Access | Times Cited: 12
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