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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:

EPIC-TRACE: predicting TCR binding to unseen epitopes using attention and contextualized embeddings
Dani Korpela, Emmi Jokinen, Alexandru Dumitrescu, et al.
Bioinformatics (2023) Vol. 39, Iss. 12
Open Access | Times Cited: 12

Showing 12 citing articles:

Predicting TCR sequences for unseen antigen epitopes using structural and sequence features
Hongchen Ji, Xiang-Xu Wang, Qiong Zhang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 6
T-cell receptor binding prediction: A machine learning revolution
Anna Weber, Aurélien Pélissier, María Rodríguez Martínez
ImmunoInformatics (2024) Vol. 15, pp. 100040-100040
Open Access | Times Cited: 5
Current developments in T-cell receptor therapy for Acute Myeloid Leukaemia
Steven D. Gore, Emily Blyth, Marie Bleakley, et al.
Blood Advances (2025)
Open Access
EpicPred: Predicting phenotypes driven by epitope binding TCRs using attention-based multiple instance learning
Jaemin Jeon, Suwan Yu, Sangam Lee, et al.
Bioinformatics (2025) Vol. 41, Iss. 3
Open Access
Tαβ-Bphg: A Dual-Branch Heterogeneous Graph Neural Network for Tcrαβ-Peptide Binding Prediction
Yun Xie, Lin Tang, Guifei Zhou, et al.
(2025)
Closed Access
Single-cell analysis of aplastic anemia reveals a convergence of NK and NK-like CD8 + T cells with a disease-associated TCR signature
Sofie Lundgren, Jani Huuhtanen, Mikko Keränen, et al.
Science Translational Medicine (2025) Vol. 17, Iss. 787
Closed Access
TCR-H: explainable machine learning prediction of T-cell receptor epitope binding on unseen datasets
Rajitha Rajeshwar T., Omar Demerdash, Jeremy C. Smith
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 3
Development and Clinical Applications of Therapeutic Cancer Vaccines with Individualized and Shared Neoantigens
Qing Hao, Yuhang Long, Yi Yang, et al.
Vaccines (2024) Vol. 12, Iss. 7, pp. 717-717
Open Access | Times Cited: 1
Probing TCR Specificity Using Artificial In Vivo Diversification of CDR3 Regions
Orlando B. Giorgetti, Annette Haas‐Assenbaum, Thomas Boehm
European Journal of Immunology (2024)
Open Access | Times Cited: 1
Predicting TCR sequences for unseen antigen epitopes using structural and sequence features
Hongmei Zhang, Hongchen Ji, Chengkai Zhang, et al.
Research Square (Research Square) (2024)
Open Access
Assessing the Generalization Capabilities of TCR Binding Predictors via Peptide Distance Analysis
Leonardo V. Castorina, Filippo Grazioli, Pierre Machart, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
T cell receptor binding prediction: A machine learning revolution
Anna Weber, Aurélien Pélissier, María Rodríguez Martínez
arXiv (Cornell University) (2023)
Open Access
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