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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:

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: 93

Showing 1-25 of 93 citing articles:

Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 84
Protein codes promote selective subcellular compartmentalization
Henry R. Kilgore, Itamar Chinn, Peter G. Mikhael, et al.
Science (2025)
Closed Access | Times Cited: 3
pLM4ACE: A protein language model based predictor for antihypertensive peptide screening
Zhenjiao Du, Xingjian Ding, William Hsu, et al.
Food Chemistry (2023) Vol. 431, pp. 137162-137162
Open Access | Times Cited: 39
Leveraging transformers‐based language models in proteome bioinformatics
Nguyen Quoc Khanh Le
PROTEOMICS (2023) Vol. 23, Iss. 23-24
Closed Access | Times Cited: 35
From intuition to AI: evolution of small molecule representations in drug discovery
Miles McGibbon, Steven Shave, Jie Dong, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 24
Biophysics-based protein language models for protein engineering
Sam Gelman, Bryce Johnson, Chase R. Freschlin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 10
PIXART-$$\Sigma $$: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
Jun Song Chen, Chongjian Ge, Enze Xie, et al.
Lecture notes in computer science (2024), pp. 74-91
Closed Access | Times Cited: 9
Learnt representations of proteins can be used for accurate prediction of small molecule binding sites on experimentally determined and predicted protein structures
Anna Carbery, Martin Buttenschoen, R. Skyner, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 8
Recent advances in data mining and machine learning for enhanced building energy management
Xinlei Zhou, Han Du, Shan Xue, et al.
Energy (2024) Vol. 307, pp. 132636-132636
Open Access | Times Cited: 8
From genotype to phenotype: computational approaches for inferring microbial traits relevant to the food industry
Signe Tang Karlsen, Martin Holm Rau, Benjamín J. Sánchez, et al.
FEMS Microbiology Reviews (2023) Vol. 47, Iss. 4
Open Access | Times Cited: 18
Deep learning probability flows and entropy production rates in active matter
Nicholas M. Boffi, Eric Vanden‐Eijnden
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 25
Open Access | Times Cited: 7
A Novel Transformer-CNN Approach for Predicting Soil Properties from LUCAS Vis-NIR Spectral Data
Liying Cao, Miao Sun, Zhicheng Yang, et al.
Agronomy (2024) Vol. 14, Iss. 9, pp. 1998-1998
Open Access | Times Cited: 6
SiT: Exploring Flow and Diffusion-Based Generative Models with Scalable Interpolant Transformers
Nanye Ma, Larry B. Goldstein, Michael S. Albergo, et al.
Lecture notes in computer science (2024), pp. 23-40
Closed Access | Times Cited: 6
Assessing the Strengths and Weaknesses of Large Language Models
Shalom Lappin
Journal of Logic Language and Information (2023) Vol. 33, Iss. 1, pp. 9-20
Open Access | Times Cited: 15
Unraveling the role of physicochemical differences in predicting protein–protein interactions
Hamid Teimouri, Angela Medvedeva, Anatoly B. Kolomeisky
The Journal of Chemical Physics (2024) Vol. 161, Iss. 4
Closed Access | Times Cited: 5
Transformer technology in molecular science
Jiang Jian, Ke Lü, Long Chen, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 5
Unveiling novel antimicrobial peptides from the ruminant gastrointestinal microbiomes: A deep learning-driven approach yields an anti-MRSA candidate
Hong Shen, Yanru Li, Qingjie Pi, et al.
Journal of Advanced Research (2025)
Open Access
Molecular Dynamics (MD)-Derived Features for Canonical and Noncanonical Amino Acids
Tiffani Hui, Maxim Secor, Minh Ngoc Ho, et al.
Journal of Chemical Information and Modeling (2025)
Open Access
MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training
Pinxue Zhao, Hailin Zhang, Fangcheng Fu, et al.
Proceedings of the ACM on Management of Data (2025) Vol. 3, Iss. 1, pp. 1-28
Closed Access
Predicting Toxicity toward Nitrifiers by Attention-Enhanced Graph Neural Networks and Transfer Learning from Baseline Toxicity
Kunyang Zhang, Philippe Schwaller, Kathrin Fenner
Environmental Science & Technology (2025)
Open Access
Discordance between a deep learning model and clinical-grade variant pathogenicity classification in a rare disease cohort
Sek Won Kong, In‐Hee Lee, Lauren V. Collen, et al.
npj Genomic Medicine (2025) Vol. 10, Iss. 1
Open Access
Transformers and genome language models
Micaela E. Consens, C Dufault, Michael Wainberg, et al.
Nature Machine Intelligence (2025)
Closed Access
Artificial Intelligence: A New Tool for Structure-Based G Protein-Coupled Receptor Drug Discovery
Jason Chung, Hyunggu Hahn, Emmanuel Flores-Espinoza, et al.
Biomolecules (2025) Vol. 15, Iss. 3, pp. 423-423
Open Access
Protein language model-based prediction for plant miRNA encoded peptides
Yong Yue, Henghui Fan, Jianping Zhao, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2733-e2733
Open Access
Systems biology of Haemonchus contortus – Advancing biotechnology for parasitic nematode control
Yuanting Zheng, Neil D. Young, Tao Wang, et al.
Biotechnology Advances (2025), pp. 108567-108567
Closed Access
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