Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 1-25 of 137 citing articles:

AI in drug discovery and its clinical relevance
Rizwan Qureshi, Muhammad Irfan, Taimoor Muzaffar Gondal, et al.
Heliyon (2023) Vol. 9, Iss. 7, pp. e17575-e17575
Open Access | Times Cited: 148
Deep learning methods for molecular representation and property prediction
Zhen Li, Mingjian Jiang, Shuang Wang, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 12, pp. 103373-103373
Closed Access | Times Cited: 130
PLANET: A Multi-objective Graph Neural Network Model for Protein–Ligand Binding Affinity Prediction
Xiangying Zhang, Haotian Gao, Haojie Wang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2205-2220
Open Access | Times Cited: 46
Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models
Yuchi Qiu, Guo‐Wei Wei
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Open Access | Times Cited: 43
Machine Learning for Sequence and Structure-Based Protein–Ligand Interaction Prediction
Yunjiang Zhang, Shuyuan Li, Kong Meng, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 5, pp. 1456-1472
Closed Access | Times Cited: 20
Multiscale topology-enabled structure-to-sequence transformer for protein–ligand interaction predictions
Dong Chen, Jian Liu, Guo‐Wei Wei
Nature Machine Intelligence (2024) Vol. 6, Iss. 7, pp. 799-810
Open Access | Times Cited: 20
Artificial Intelligence Enabled Biomineralization for Eco‐Friendly Nanomaterial Synthesis: Charting Future Trends
Vaisali Chandrasekar, Anu Jayanthi Panicker, Ajay Vikram Singh, et al.
Nano Select (2025)
Open Access | Times Cited: 2
A point cloud-based deep learning strategy for protein–ligand binding affinity prediction
Yeji Wang, Shuo Wu, Yanwen Duan, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 60
Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2
Kaifu Gao, Rui Wang, Jiahui Chen, et al.
Chemical Reviews (2022) Vol. 122, Iss. 13, pp. 11287-11368
Open Access | Times Cited: 58
Persistent Laplacian projected Omicron BA.4 and BA.5 to become new dominating variants
Jiahui Chen, Yuchi Qiu, Rui Wang, et al.
Computers in Biology and Medicine (2022) Vol. 151, pp. 106262-106262
Open Access | Times Cited: 54
Delta Machine Learning to Improve Scoring-Ranking-Screening Performances of Protein–Ligand Scoring Functions
Chao Yang, Yingkai Zhang
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 11, pp. 2696-2712
Open Access | Times Cited: 47
A practical guide to machine-learning scoring for structure-based virtual screening
Viet‐Khoa Tran‐Nguyen, Muhammad Junaid, Saw Simeon, et al.
Nature Protocols (2023) Vol. 18, Iss. 11, pp. 3460-3511
Closed Access | Times Cited: 40
A fully differentiable ligand pose optimization framework guided by deep learning and a traditional scoring function
Zechen Wang, Liangzhen Zheng, Sheng Wang, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 39
Persistent spectral theory-guided protein engineering
Yuchi Qiu, Guo‐Wei Wei
Nature Computational Science (2023) Vol. 3, Iss. 2, pp. 149-163
Open Access | Times Cited: 38
HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein–Ligand Binding Affinity Prediction
Gregory W. Kyro, Rafael I. Brent, Víctor S. Batista
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 7, pp. 1947-1960
Open Access | Times Cited: 37
K-nearest-neighbors induced topological PCA for single cell RNA-sequence data analysis
Sean Cottrell, Yuta Hozumi, Guo‐Wei Wei
Computers in Biology and Medicine (2024) Vol. 175, pp. 108497-108497
Open Access | Times Cited: 8
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.
Journal of Chemical Information and Modeling (2025)
Open Access | Times Cited: 1
Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction
JunJie Wee, Kelin Xia
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 4, pp. 1617-1626
Closed Access | Times Cited: 47
Extracting Predictive Representations from Hundreds of Millions of Molecules
Dong Chen, Jiaxin Zheng, Guo‐Wei Wei, et al.
The Journal of Physical Chemistry Letters (2021) Vol. 12, Iss. 44, pp. 10793-10801
Open Access | Times Cited: 45
Persistent spectral based ensemble learning (PerSpect-EL) for protein–protein binding affinity prediction
JunJie Wee, Kelin Xia
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 31
Path Topology in Molecular and Materials Sciences
Dong Chen, Jian Liu, Jie Wu, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 4, pp. 954-964
Open Access | Times Cited: 21
SS-GNN: A Simple-Structured Graph Neural Network for Affinity Prediction
Shuke Zhang, Yanzhao Jin, Tianmeng Liu, et al.
ACS Omega (2023) Vol. 8, Iss. 25, pp. 22496-22507
Open Access | Times Cited: 19
Persistent Dirac for molecular representation
JunJie Wee, Ginestra Bianconi, Kelin Xia
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 19
SVSBI: sequence-based virtual screening of biomolecular interactions
Li Shen, Hongsong Feng, Yuchi Qiu, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 18
Beware of Simple Methods for Structure-Based Virtual Screening: The Critical Importance of Broader Comparisons
Viet‐Khoa Tran‐Nguyen, Pedro J. Ballester
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 5, pp. 1401-1405
Open Access | Times Cited: 17
Page 1 - Next Page

Scroll to top