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:

Persistent spectral hypergraph based machine learning (PSH-ML) for protein-ligand binding affinity prediction
Xiang Liu, Huitao Feng, Jie Wu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 44

Showing 1-25 of 44 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
Application of Computational Biology and Artificial Intelligence in Drug Design
Yue Zhang, Mengqi Luo, Peng Wu, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 21, pp. 13568-13568
Open Access | Times Cited: 70
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
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
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
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
Featurization strategies for protein–ligand interactions and their applications in scoring function development
Guo‐Li Xiong, Chao Shen, Ziyi Yang, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2021) Vol. 12, Iss. 2
Closed Access | Times Cited: 41
Persistent Dirac for molecular representation
JunJie Wee, Ginestra Bianconi, Kelin Xia
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 19
Prediction of Binding Free Energy of Protein–Ligand Complexes with a Hybrid Molecular Mechanics/Generalized Born Surface Area and Machine Learning Method
Lina Dong, Xiaoyang Qu, Yuan Zhao, et al.
ACS Omega (2021) Vol. 6, Iss. 48, pp. 32938-32947
Open Access | Times Cited: 36
Review of unsupervised pretraining strategies for molecules representation
Linhui Yu, Yansen Su, Yuansheng Liu, et al.
Briefings in Functional Genomics (2021) Vol. 20, Iss. 5, pp. 323-332
Closed Access | Times Cited: 33
Dowker complex based machine learning (DCML) models for protein-ligand binding affinity prediction
Xiang Liu, Huitao Feng, Jie Wu, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 4, pp. e1009943-e1009943
Open Access | Times Cited: 25
Protein pKa Prediction by Tree-Based Machine Learning
Ada Y. Chen, Juyong Lee, Ana Damjanović, et al.
Journal of Chemical Theory and Computation (2022) Vol. 18, Iss. 4, pp. 2673-2686
Open Access | Times Cited: 24
MGPLI: exploring multigranular representations for protein–ligand interaction prediction
Junjie Wang, Jie Hu, Huiting Sun, et al.
Bioinformatics (2022) Vol. 38, Iss. 21, pp. 4859-4867
Open Access | Times Cited: 23
Persistent hyperdigraph homology and persistent hyperdigraph Laplacians
Dong Chen, Jian Liu, Jie Wu, et al.
Foundations of Data Science (2023) Vol. 5, Iss. 4, pp. 558-588
Open Access | Times Cited: 16
Persistent Path-Spectral (PPS) Based Machine Learning for Protein–Ligand Binding Affinity Prediction
Ran Liu, Xiang Liu, Jie Wu
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 3, pp. 1066-1075
Closed Access | Times Cited: 13
Enhancing Generalizability in Protein–Ligand Binding Affinity Prediction with Multimodal Contrastive Learning
Ding Luo, Dandan Liu, Xiaoyang Qu, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 6, pp. 1892-1906
Closed Access | Times Cited: 5
Persistent Mayer homology and persistent Mayer Laplacian
Li Shen, Jian Liu, Guo‐Wei Wei
Foundations of Data Science (2024) Vol. 6, Iss. 4, pp. 584-612
Open Access | Times Cited: 4
CL-GNN: Contrastive Learning and Graph Neural Network for Protein–Ligand Binding Affinity Prediction
Yunjiang Zhang, Chenyu Huang, Yaxin Wang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Predicting Reaction Rate Constant of Organic Compounds with Singlet Oxygen and Revealing Its Contributors Using Machine Learning
Tengyi Zhu, F. Z. Qi, Cuicui Tao, et al.
Industrial & Engineering Chemistry Research (2025)
Closed Access
Join Persistent Homology (JPH)-Based Machine Learning for Metalloprotein–Ligand Binding Affinity Prediction
Yaxing Wang, Xiang Liu, Yipeng Zhang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Persistent Directed Flag Laplacian (PDFL)-Based Machine Learning for Protein–Ligand Binding Affinity Prediction
Mushal Zia, Benjamin Jones, Hongsong Feng, et al.
Journal of Chemical Theory and Computation (2025)
Open Access
Directional ΔG Neural Network (DrΔG-Net): A Modular Neural Network Approach to Binding Free Energy Prediction
Derek P. Metcalf, Zachary L. Glick, Andrea Bortolato, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 6, pp. 1907-1918
Open Access | Times Cited: 3
ChatGPT for computational topology
Jian Liu, Li Shen, Guo‐Wei Wei
Foundations of Data Science (2024) Vol. 6, Iss. 2, pp. 221-250
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top