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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:

Attention-aware contrastive learning for predicting T cell receptor–antigen binding specificity
Yiming Fang, Xuejun Liu, Hui Liu
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Open Access | Times Cited: 11

Showing 11 citing articles:

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
Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics
Milena Pavlović, Ghadi S. Al Hajj, Chakravarthi Kanduri, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 1, pp. 15-24
Closed Access | Times Cited: 11
Contrastive learning of T cell receptor representations
Yuta Nagano, Andrew G. T. Pyo, Martina Milighetti, et al.
Cell Systems (2025), pp. 101165-101165
Open Access | Times Cited: 1
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
Quantitative approaches for decoding the specificity of the human T cell repertoire
Zahra S. Ghoreyshi, Jason T. George
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 15
TEPCAM: Prediction of T‐cell receptor–epitope binding specificity via interpretable deep learning
Junwei Chen, Bowen Zhao, Shenggeng Lin, et al.
Protein Science (2023) Vol. 33, Iss. 1
Closed Access | Times Cited: 11
TCR clustering by contrastive learning on antigen specificity
Margarita Pertseva, Océane M. Follonier, Daniele Scarcella, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 2
TCR clustering by contrastive learning on antigen specificity.
Margarita Pertseva, Océane M. Follonier, Daniele Scarcella, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Transformers meets neoantigen detection: a systematic literature review
Vicente Machaca, Valeria Goyzueta, María Graciel Cruz, et al.
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (2024) Vol. 21, Iss. 2
Open Access
RLpMIEC: High-Affinity Peptide Generation Targeting Major Histocompatibility Complex-I Guided and Interpreted by Interaction Spectrum-Navigated Reinforcement Learning
Qirui Deng, Zhe Wang, Sutong Xiang, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6432-6449
Closed Access
Attention-Aware Contrastive Learning for Predicting Peptide-HLA Binding Specificity
Pengyu Luo, Yuehan Huang, Xinyi Zhang, et al.
Lecture notes in computer science (2023), pp. 544-555
Closed Access
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