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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:

Combination of deep neural network with attention mechanism enhances the explainability of protein contact prediction
Chen Chen, Tianqi Wu, Zhiye Guo, et al.
Proteins Structure Function and Bioinformatics (2021) Vol. 89, Iss. 6, pp. 697-707
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

AlphaFold 2: Why It Works and Its Implications for Understanding the Relationships of Protein Sequence, Structure, and Function
Jeffrey Skolnick, Mu Gao, Hongyi Zhou, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 10, pp. 4827-4831
Open Access | Times Cited: 185
Artificial intelligence in the prediction of protein–ligand interactions: recent advances and future directions
Ashwin Dhakal, Cole McKay, John J. Tanner, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 171
Explainable AI approaches in deep learning: Advancements, applications and challenges
Md. Tanzib Hosain, Jamin Rahman Jim, M. F. Mridha, et al.
Computers & Electrical Engineering (2024) Vol. 117, pp. 109246-109246
Closed Access | Times Cited: 27
Deep Learning-Based Advances in Protein Structure Prediction
Subash C. Pakhrin, Bikash Shrestha, Badri Adhikari, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 11, pp. 5553-5553
Open Access | Times Cited: 98
Artificial Intelligence: The Milestone in Modern Biomedical Research
Konstantina Athanasopoulou, Glykeria N. Daneva, Panagiotis G. Adamopoulos, et al.
BioMedInformatics (2022) Vol. 2, Iss. 4, pp. 727-744
Open Access | Times Cited: 39
Generative models for protein sequence modeling: recent advances and future directions
Mehrsa Mardikoraem, Zirui Wang, Nathaniel Pascual, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Open Access | Times Cited: 19
A Survey on Attention Mechanisms for Medical Applications: are we Moving Toward Better Algorithms?
Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira, et al.
IEEE Access (2022) Vol. 10, pp. 98909-98935
Open Access | Times Cited: 26
Revolutionizing Medical Practice: The Impact of Artificial Intelligence (AI) on Healthcare
S. Author, Shahin Javanmard
Open Access Journal of Applied Science and Technology (2024) Vol. 2, Iss. 1, pp. 01-16
Open Access | Times Cited: 5
Deep learning methods for 3D structural proteome and interactome modeling
Dongjin Lee, Dapeng Xiong, Shayne D. Wierbowski, et al.
Current Opinion in Structural Biology (2022) Vol. 73, pp. 102329-102329
Open Access | Times Cited: 22
Artificial intelligence in tumor drug resistance: Mechanisms and treatment prospects
Jianyou Gu, Junfeng Zhang, Silüe Zeng, et al.
(2025)
Open Access
AirSeg: Learnable Interconnected Attention Framework for Robust Airway Segmentation
Chetana Krishnan, Shah Hussain, Denise Stanford, et al.
Deleted Journal (2025)
Open Access
Drug Discovery in the Age of Artificial Intelligence: Transformative Target-Based Approaches
Akshata Y. Patne, Sai Madhav Dhulipala, William F. Lawless, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 22, pp. 12233-12233
Open Access | Times Cited: 3
Improved protein contact prediction using dimensional hybrid residual networks and singularity enhanced loss function
Yunda Si, Chengfei Yan
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 16
Improving deep learning-based protein distance prediction in CASP14
Zhiye Guo, Tianqi Wu, Jian Liu, et al.
Bioinformatics (2021) Vol. 37, Iss. 19, pp. 3190-3196
Open Access | Times Cited: 15
Predicting protein thermal stability changes upon single and multi-point mutations via restricted attention subgraph neural network
Mohammad Madani, Anna Tarakanova
Journal of the Mechanics and Physics of Solids (2024) Vol. 184, pp. 105531-105531
Closed Access | Times Cited: 2
Unveiling the evolution of policies for enhancing protein structure predictions: A comprehensive analysis
Faezeh Rahimzadeh, Leyli Mohammad Khanli, Pedram Salehpoor, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108815-108815
Closed Access | Times Cited: 2
Improved inter-residue contact prediction via a hybrid generative model and dynamic loss function
Mohammad Madani, Mohammad Mahdi Behzadi, Dongjin Song, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 6138-6148
Open Access | Times Cited: 10
Artificial intelligence for template-free protein structure prediction: a comprehensive review
M. M. Mohamed Mufassirin, M. A. Hakim Newton, Abdul Sattar
Artificial Intelligence Review (2022) Vol. 56, Iss. 8, pp. 7665-7732
Closed Access | Times Cited: 10
Coevolutionary signals in metabotropic glutamate receptors capture residue contacts and long-range functional interactions
Eunna Huh, Melina A. Agosto, Theodore G. Wensel, et al.
Journal of Biological Chemistry (2023) Vol. 299, Iss. 4, pp. 103030-103030
Open Access | Times Cited: 5
High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function
Mu Gao, Peik K. Lund-Andersen, Alex Morehead, et al.
(2021), pp. 46-57
Open Access | Times Cited: 12
Enhancing protein inter-residue real distance prediction by scrutinising deep learning models
Julia Rahman, M. A. Hakim Newton, Md Khaled Ben Islam, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 8
CGAN-Cmap: protein contact map prediction using deep generative adversarial neural networks
Mohammad Madani, Mohammad Mahdi Behzadi, Dongjin Song, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 7
Understanding and Therapeutic Application of Immune Response in Major Histocompatibility Complex (MHC) Diversity Using Multimodal Artificial Intelligence
Yasunari Matsuzaka, Ryu Yashiro
BioMedInformatics (2024) Vol. 4, Iss. 3, pp. 1835-1864
Open Access | Times Cited: 1
Geometric Transformers for Protein Interface Contact Prediction
Alex Morehead, Chen Chen
arXiv (Cornell University) (2021)
Open Access | Times Cited: 9
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