Open Access Helper

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:

Multiphysical graph neural network (MP-GNN) for COVID-19 drug design
Xiaoshuang Li, Xiang Liu, Le Lü, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Closed Access | Times Cited: 34

Showing 26-50 of 34 citing articles:

A pyramid GNN model for CXR-based COVID-19 classification
Chang Jie, Jiming Chen, Shao Ying, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 4, pp. 5490-5508
Closed Access | Times Cited: 2
Multi-hop Attention-based Graph Pooling: A Personalized PageRank Perspective
Parsa Haddadian, Roya Booryaee, Rooholah Abedian, et al.
(2024), pp. 1-7
Closed Access
3DSGIMD: An accurate and interpretable molecular property prediction method using 3D spatial graph focusing network and structure-based feature fusion
Yanan Tian, Chenbin Wang, Ruiqiang Lu, et al.
Future Generation Computer Systems (2024) Vol. 161, pp. 189-200
Closed Access
Inference and prioritization of tissue-specific regulons in Arabidopsis and Oryza
Honggang Dai, Yaxin Fan, Yichao Mei, et al.
aBIOTECH (2024) Vol. 5, Iss. 3, pp. 309-324
Closed Access
MGATAF: Multi-channel Graph AttentionNetwork with Adaptive Fusion forCancer-Drug Response Prediction
Dhekra Saeed, Huanlai Xing, Barakat AlBadani, et al.
Research Square (Research Square) (2024)
Open Access
T-ALPHA: A Hierarchical Transformer-Based Deep Neural Network for Protein-Ligand Binding Affinity Prediction With Uncertainty-Aware Self-Learning for Protein-Specific Alignment
Gregory W. Kyro, Anthony M. Smaldone, Yu Shee, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Graded multiscale topology optimization with periodic boundary conditions and subdomain coupling
Hondo Eric
i-manager’s Journal on Structural Engineering (2024) Vol. 13, Iss. 3, pp. 12-12
Closed Access
Advances in the Development of Representation Learning and Its Innovations against COVID-19
Peng Li, Md Parvej Mosharaf, Chenghao Zhang, et al.
(2023)
Open Access | Times Cited: 1
DAG: Dual Attention Graph Representation Learning for Node Classification
Siyi Lin, Jie Hong, Bo Lang, et al.
Mathematics (2023) Vol. 11, Iss. 17, pp. 3691-3691
Open Access | Times Cited: 1
Advances in the Development of Representation Learning and Its Innovations against COVID-19
Peng Li, Mosharaf Md Parvej, Chenghao Zhang, et al.
COVID (2023) Vol. 3, Iss. 9, pp. 1389-1415
Open Access | Times Cited: 1
Harness the power of atomistic modeling and deep learning in biofuel separation
Difan Zhang, Haiyi Wu, Brett A. Smith, et al.
Annual reports in computational chemistry (2023), pp. 121-165
Closed Access | Times Cited: 1
3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information
Taojie Kuang, Yiming Ren, Zhixiang Ren
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Predicting Protein-Ligand Binding Affinity with Multi-Scale Structural Features
Han Wang, Shengkun Wang, Xike Ouyang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023)
Closed Access
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