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:

Characterizing the interaction conformation between T-cell receptors and epitopes with deep learning
Xingang Peng, Yipin Lei, Peiyuan Feng, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 395-407
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access | Times Cited: 12

Adaptive immune receptor repertoire analysis
Vanessa Mhanna, Habib Bashour, Khang Lê Quý, et al.
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 12

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: 7

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

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

Supervised contrastive learning enhances MHC-II peptide binding affinity prediction
Long-Chen Shen, Yan Liu, Zi Liu, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126463-126463
Closed Access

Feature selection enhances peptide binding predictions for TCR-specific interactions
Hamid Teimouri, Zahra S. Ghoreyshi, Anatoly B. Kolomeisky, et al.
Frontiers in Immunology (2025) Vol. 15
Open Access

Unveiling fundamental principles: visualizing T cell immunity with explainable artificial intelligence
Liyun Tu, Aoyu Xu, Hantao Lou, et al.
Medicine Plus (2025), pp. 100072-100072
Open Access

Integration of proteomics profiling data to facilitate discovery of cancer neoantigens: a survey
S. Luo, Hui Peng, Ying Shi, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access

Learning the language of protein–protein interactions
Varun Ullanat, Bowen Jing, Samuel Sledzieski, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access

Structure-Directed Pan-Specific T-Cell Receptor–Peptide-Major Histocompatibility Complex Interaction Prediction
Lijuan Gao, Yumeng Zhang, Fang Ge, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access

Sliding-attention transformer neural architecture for predicting T cell receptor–antigen–human leucocyte antigen binding
Ziyan Feng, Jingyang Chen, Youlong Hai, et al.
Nature Machine Intelligence (2024)
Open Access | Times Cited: 3

Predicting Lactobacillus delbrueckii subsp. bulgaricus-Streptococcus thermophilus interactions based on a highly accurate semi-supervised learning method
Shujuan Yang, Mei Bai, Weichi Liu, et al.
Science China Life Sciences (2024)
Closed Access | Times Cited: 3

Epitope-anchored contrastive transfer learning for paired CD8+ T cell receptor–antigen recognition
Yumeng Zhang, Zhikang Wang, Yunzhe Jiang, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 11, pp. 1344-1358
Closed Access | Times Cited: 2

Systems immunology spanning tumors, lymph nodes, and periphery
Dimitrios N. Sidiropoulos, Won Jin Ho, Elizabeth M. Jaffee, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 12, pp. 100670-100670
Open Access | Times Cited: 5

Epitope-anchored contrastive transfer learning for paired CD8+T cell receptor-antigen recognition
Yumeng Zhang, Zhikang Wang, Yunzhe Jiang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

epiTCR-KDA: Knowledge Distillation model on Dihedral Angles for TCR-peptide prediction
My-Diem Nguyen Pham, Chinh Tran-To Su, Thanh-Nhan Nguyen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

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

An Artificial Intelligence Model for Profiling the Landscape of Antigen-binding Affinities of Massive BCR Sequencing Data
Bing Song, Kaiwen Wang, Saiyang Na, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity
Feng Jiang, Yuzhi Guo, Hehuan Ma, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 1

Benchmarking of T-Cell Receptor - Epitope Predictors with ePytope-TCR
Felix Drost, Anna Chernysheva, Mahmoud Albahah, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Depletion of regulatory T cells enhances the T cell response induced by the neoantigen vaccine with weak immunogenicity
Ruichen Huang, Qiao Zhou, Jiajun Liu, et al.
Neoplasia (2024) Vol. 59, pp. 101088-101088
Open Access | Times Cited: 1

Accurate TCR-pMHC interaction prediction using a BERT-based transfer learning method
Jiawei Zhang, Wang Ma, Hui Yao
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 3

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