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:

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: 36

Showing 1-25 of 36 citing articles:

Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 142

Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering
Jason Yang, Francesca-Zhoufan Li, Frances H. Arnold
ACS Central Science (2024) Vol. 10, Iss. 2, pp. 226-241
Open Access | Times Cited: 51

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: 38

Biophysics-based protein language models for protein engineering
Sam Gelman, Bryce Johnson, Chase R. Freschlin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 9

Protein Engineering with Lightweight Graph Denoising Neural Networks
Bingxin Zhou, Lirong Zheng, Banghao Wu, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 9, pp. 3650-3661
Open Access | Times Cited: 8

Evaluation of AlphaFold 3’s Protein–Protein Complexes for Predicting Binding Free Energy Changes upon Mutation
JunJie Wee, Guo‐Wei Wei
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6676-6683
Open Access | Times Cited: 8

Topological deep learning: a review of an emerging paradigm
Ali Zia, Abdelwahed Khamis, James D. Nichols, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 6

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: 6

Different Strategies for the Biosynthesis of Bioactive Peptide Using Bioengineering Technology in Pichia pastoris: A Review
Kai Hong, Yefei Rong, Yi Jiang, et al.
Food and Bioprocess Technology (2025)
Closed Access

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: 14

Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation
JunJie Wee, Jiahui Chen, Kelin Xia, et al.
Computers in Biology and Medicine (2024) Vol. 169, pp. 107918-107918
Open Access | Times Cited: 5

Persistent sheaf Laplacians
Xiaoqi Wei, Guo‐Wei Wei
Foundations of Data Science (2024)
Open Access | Times Cited: 5

Analyzing single cell RNA sequencing with topological nonnegative matrix factorization
Yuta Hozumi, Guo‐Wei Wei
Journal of Computational and Applied Mathematics (2024) Vol. 445, pp. 115842-115842
Open Access | Times Cited: 4

Multiscale topology in interactomic network: from transcriptome to antiaddiction drug repurposing
Hongyan Du, Guo‐Wei Wei, Tingjun Hou
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 4

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: 13

Peptides of a Feather: How Computation Is Taking Peptide Therapeutics under Its Wing
Tom Kazmirchuk, Calvin Bradbury-Jost, Taylor Ann Withey, et al.
Genes (2023) Vol. 14, Iss. 6, pp. 1194-1194
Open Access | Times Cited: 13

PLPCA: Persistent Laplacian-Enhanced PCA for Microarray Data Analysis
Sean Cottrell, Rui Wang, Guo‐Wei Wei
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2405-2420
Open Access | Times Cited: 11

Accurate top protein variant discovery via low-N pick-and-validate machine learning
Hoi Yee Chu, John H.C. Fong, Dawn Thean, et al.
Cell Systems (2024) Vol. 15, Iss. 2, pp. 193-203.e6
Closed Access | Times Cited: 3

Contrastive Fitness Learning: Reprogramming Protein Language Models for Low-NLearning of Protein Fitness Landscape
Junming Zhao, Chao Zhang, Yunan Luo
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3

A review of transformers in drug discovery and beyond
Jian Jiang, Long Chen, Ke Lü, et al.
Journal of Pharmaceutical Analysis (2024), pp. 101081-101081
Open Access | Times Cited: 3

Combinatorial and Hodge Laplacians: Similarities and Differences
Emily Ribando-Gros, Rui Wang, Jiahui Chen, et al.
SIAM Review (2024) Vol. 66, Iss. 3, pp. 575-601
Closed Access | Times Cited: 2

Topological deep learning based deep mutational scanning
Jiahui Chen, Daniel Woldring, Faqing Huang, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107258-107258
Open Access | Times Cited: 6

Machine Learning of Three-Dimensional Protein Structures to Predict the Functional Impacts of Genome Variation
Kriti Shukla, Kelvin Idanwekhai, Martin S. Naradikian, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 13, pp. 5328-5343
Open Access | Times Cited: 1

Advancing microbial production through artificial intelligence-aided biology
Xinyu Gong, Jianli Zhang, Qi Gan, et al.
Biotechnology Advances (2024) Vol. 74, pp. 108399-108399
Closed Access | Times Cited: 1

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