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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:

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

Showing 1-25 of 31 citing articles:

Computational Approaches to Predict Protein–Protein Interactions in Crowded Cellular Environments
Greta Grassmann, Mattia Miotto, Fausta Desantis, et al.
Chemical Reviews (2024) Vol. 124, Iss. 7, pp. 3932-3977
Open Access | Times Cited: 34
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: 16
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
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
Recent Advances in Deep Learning for Protein-Protein Interaction Analysis: A Comprehensive Review
Minhyeok Lee
Molecules (2023) Vol. 28, Iss. 13, pp. 5169-5169
Open Access | Times Cited: 37
Persistent Dirac for molecular representation
JunJie Wee, Ginestra Bianconi, Kelin Xia
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 19
Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery
H. Choo, JunJie Wee, Cong Shen, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 10, pp. 2928-2935
Closed Access | Times Cited: 17
Emerging Dominant SARS-CoV-2 Variants
Jiahui Chen, Rui Wang, Yuta Hozumi, et al.
Journal of Chemical Information and Modeling (2022) Vol. 63, Iss. 1, pp. 335-342
Open Access | Times Cited: 27
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
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
Machine learning methods for protein-protein binding affinity prediction in protein design
Zhongliang Guo, Rui Yamaguchi
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 22
Benchmarking AlphaFold3's protein-protein complex accuracy and machine learning prediction reliability for binding free energy changes upon mutation.
JunJie Wee, Guo-Wei Wei
arXiv (Cornell University) (2024)
Open Access | Times Cited: 4
Rapid response to fast viral evolution using AlphaFold 3-assisted topological deep learning
JunJie Wee, Guo-Wei Wei
Virus Evolution (2025)
Open Access
Estimating Absolute Protein–Protein Binding Free Energies by a Super Learner Model
Elton José Ferreira Chaves, João Sartori, Willian Melo dos Santos, et al.
Journal of Chemical Information and Modeling (2025)
Open Access
Decoding the effects of mutation on protein interactions using machine learning
Xu Wang, Anbang Li, Yunjie Zhao, et al.
Biophysics Reviews (2025) Vol. 6, Iss. 1
Closed Access
TopoQA: a topological deep learning-based approach for protein complex structure interface quality assessment
Bingqing Han, Yipeng Zhang, Longlong Li, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
SFM-Net: Selective Fusion of Multiway Protein Feature Network for Predicting Binding Affinity Changes upon Mutations
C. Karen Liu, Sudong Cai, Tong Pan, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
MpbPPI: a multi-task pre-training-based equivariant approach for the prediction of the effect of amino acid mutations on protein–protein interactions
Yang Yue, Shu Li, Lingling Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Open Access | Times Cited: 9
Pan-genomic comparison of a potential solvent-tolerant alkaline protease-producing Exiguobacterium sp. TBG-PICH-001 isolated from a marine habitat
Nitin Srivastava, Shiburaj Sugathan, Sunil Kumar Khare
3 Biotech (2023) Vol. 13, Iss. 11
Closed Access | Times Cited: 6
Persistent Topological Laplacian Analysis of SARS-CoV-2 Variants
Xiaoqi Wei, Jiahui Chen, Guo‐Wei Wei
Journal of Computational Biophysics and Chemistry (2023) Vol. 22, Iss. 05, pp. 569-587
Open Access | Times Cited: 4
A Big Data-Driven Risk Assessment Method Using Machine Learning for Supply Chains in Airport Economic Promotion Areas
Zhijun Ma, Xiaobei Yang, Ruili Miao
Journal of Circuits Systems and Computers (2023) Vol. 32, Iss. 10
Closed Access | Times Cited: 4
Revolutionizing Pharmaceutical Industry: The Radical Impact of Artificial Intelligence and Machine Learning
Aashveen Chhina, Karan Trehan, Muskaan Saini, et al.
Current Pharmaceutical Design (2023) Vol. 29, Iss. 21, pp. 1645-1658
Closed Access | Times Cited: 4
Predictive Models and Impact of Interfacial Contacts and Amino Acids on Protein–Protein Binding Affinity
Carey Huang Yi, Mitchell Lee Taylor, Jesse D. Ziebarth, et al.
ACS Omega (2024)
Open Access | Times Cited: 1
AttABseq: an attention-based deep learning prediction method for antigen–antibody binding affinity changes based on protein sequences
Ruofan Jin, Qing Ye, Jike Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 1
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