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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:

DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations
Yelu Jiang, Lijun Quan, Kailong Li, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 3, pp. 2089-2100
Closed Access | Times Cited: 11

Showing 11 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: 86
DDMut-PPI: predicting effects of mutations on protein–protein interactions using graph-based deep learning
Yunzhuo Zhou, Yoochan Myung, Carlos H. M. Rodrigues, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. W1, pp. W207-W214
Open Access | Times Cited: 8
Pretrainable geometric graph neural network for antibody affinity maturation
Huiyu Cai, Zuobai Zhang, Mingkai Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Multimodal Deep Learning for Enhanced Prediction of Molecular Binding Affinities Integrating Chemical Structures and Protein Sequences
L. Prasika, G. R. Karish Prajaishma, M. Yoga Vardhani
Algorithms for intelligent systems (2025), pp. 125-135
Closed Access
Decoding the effects of mutation on protein interactions using machine learning
Xu Wang, Anbang Li, Yunjie Zhao, et al.
Biophysics Reviews (2025) Vol. 6, Iss. 1
Closed Access
Predicting the structure-altering mechanisms of disease variants
Matteo Arnaudi, Mattia Utichi, Matteo Tiberti, et al.
Current Opinion in Structural Biology (2025) Vol. 91, pp. 102994-102994
Open Access
SFM-Net: Selective Fusion of Multiway Protein Feature Network for Predicting Binding Affinity Changes upon Mutations
C. Karen Liu, Sudong Cai, Tong Pan, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
MpbPPI: a multi-task pre-training-based equivariant approach for the prediction of the effect of amino acid mutations on protein–protein interactions
Yang Yue, Shu Li, Lingling Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Open Access | Times Cited: 8
Graph masked self-distillation learning for prediction of mutation impact on protein–protein interactions
Yuan Zhang, Mingyuan Dong, Jianhua Deng, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Pretrainable Geometric Graph Neural Network for Antibody Affinity Maturation
Huiyu Cai, Zuobai Zhang, Mingkai Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
MechPPI: Binding Mechanism-based Machine-Learning tool for Predicting Protein-Protein Binding Affinity Changes Upon Mutations
Yangying Liu, Grant Armstrong, Justin Tam, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
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