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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:

Modern Hopfield Networks and Attention for Immune Repertoire Classification
Michael Widrich, Bernhard Schäfl, Milena Pavlović, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 88

Showing 1-25 of 88 citing articles:

DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires
John-William Sidhom, H. Benjamin Larman, Drew M. Pardoll, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 188
Animal Immunization, in Vitro Display Technologies, and Machine Learning for Antibody Discovery
Andreas H. Laustsen, Victor Greiff, Aneesh Karatt-Vellatt, et al.
Trends in biotechnology (2021) Vol. 39, Iss. 12, pp. 1263-1273
Open Access | Times Cited: 111
CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations
Leila Arras, Ahmed Osman, Wojciech Samek
Information Fusion (2021) Vol. 81, pp. 14-40
Open Access | Times Cited: 106
In silico proof of principle of machine learning-based antibody design at unconstrained scale
Rahmad Akbar, Philippe A. Robert, Cédric R. Weber, et al.
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 75
Disease diagnostics using machine learning of B cell and T cell receptor sequences
Maxim Zaslavsky, Erin Craig, Jackson Michuda, et al.
Science (2025) Vol. 387, Iss. 6736
Closed Access | Times Cited: 3
Mining adaptive immune receptor repertoires for biological and clinical information using machine learning
Victor Greiff, Gur Yaari, Lindsay G. Cowell
Current Opinion in Systems Biology (2020) Vol. 24, pp. 109-119
Open Access | Times Cited: 84
Recent advances in deep learning for retrosynthesis
Zipeng Zhong, Jie Song, Zunlei Feng, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2023) Vol. 14, Iss. 1
Closed Access | Times Cited: 23
Leveraging Artificial Intelligence to Expedite Antibody Design and Enhance Antibody–Antigen Interactions
Doo Nam Kim, Andrew McNaughton, Neeraj Kumar
Bioengineering (2024) Vol. 11, Iss. 2, pp. 185-185
Open Access | Times Cited: 10
Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy
John-William Sidhom, Giacomo Oliveira, Petra Ross‐Macdonald, et al.
Science Advances (2022) Vol. 8, Iss. 37
Open Access | Times Cited: 38
Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks
Yonghao Xu, Weikang Yu, Pedram Ghamisi, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 5737-5750
Open Access | Times Cited: 20
DeepAIR: A deep learning framework for effective integration of sequence and 3D structure to enable adaptive immune receptor analysis
Yu Zhao, Bing He, Fan Xu, et al.
Science Advances (2023) Vol. 9, Iss. 32
Open Access | Times Cited: 19
Applications of Machine and Deep Learning in Adaptive Immunity
Margarita Pertseva, Beichen Gao, Daniel Neumeier, et al.
Annual Review of Chemical and Biomolecular Engineering (2021) Vol. 12, Iss. 1, pp. 39-62
Open Access | Times Cited: 35
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
Large Associative Memory Problem in Neurobiology and Machine Learning
Dmitry Krotov, J. J. Hopfield
arXiv (Cornell University) (2020)
Open Access | Times Cited: 34
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
Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification
Chakravarthi Kanduri, Milena Pavlović, Lonneke Scheffer, et al.
GigaScience (2022) Vol. 11
Open Access | Times Cited: 19
Machine learning in biological physics: From biomolecular prediction to design
Jonathan Martin, M. Mateos, José N. Onuchic, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 27
Open Access | Times Cited: 4
Assemblies, synapse clustering and network topology interact with plasticity to explain structure-function relationships of the cortical connectome
András Ecker, Daniela Egas Santander, Marwan Abdellah, et al.
(2024)
Open Access | Times Cited: 4
Learning predictive signatures of HLA type from T-cell repertoires
María Ruiz Ortega, Mikhail V. Pogorelyy, Anastasia A. Minervina, et al.
PLoS Computational Biology (2025) Vol. 21, Iss. 1, pp. e1012724-e1012724
Open Access
Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning
Maria Chernigovskaya, Milena Pavlović, Chakravarthi Kanduri, et al.
Nucleic Acids Research (2025) Vol. 53, Iss. 3
Open Access
Neural learning rules from associative networks theory
Daniele Lotito
Neurocomputing (2025), pp. 129865-129865
Closed Access
Single Layers of Attention Suffice to Predict Protein Contacts
Nicholas Bhattacharya, Neil Thomas, Roshan Rao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 32
Associative Memories via Predictive Coding
Tommaso Salvatori, Yuhang Song, Yujian Hong, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 26
A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions
Sharnil Pandya, Aanchal Thakur, Santosh Saxena, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 7786-7786
Open Access | Times Cited: 26
Reference-based comparison of adaptive immune receptor repertoires
Cédric R. Weber, Teresa Rubio, Longlong Wang, et al.
Cell Reports Methods (2022) Vol. 2, Iss. 8, pp. 100269-100269
Open Access | Times Cited: 16
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