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:

Improving the prediction of protein stability changes upon mutations by geometric learning and a pre-training strategy
Yunxin Xu, Ди Лю, Haipeng Gong
Nature Computational Science (2024) Vol. 4, Iss. 11, pp. 840-850
Closed Access | Times Cited: 9

Showing 9 citing articles:

Structure-based self-supervised learning enables ultrafast protein stability prediction upon mutation
Jinyuan Sun, Tong Zhu, Yinglu Cui, et al.
The Innovation (2025) Vol. 6, Iss. 1, pp. 100750-100750
Open Access | Times Cited: 1

High-Temperature Catalytic Platform Powered by Thermophilic Microorganisms and Thermozymes
Jiawei Li, Lichao Sun, Yi‐Xin Huo
Synthetic biology and engineering (2025) Vol. 3, Iss. 1, pp. 10001-10001
Closed Access

VenusMutHub: A systematic evaluation of protein mutation effect predictors on small-scale experimental data
Liang Zhang, Hua Pang, Chenghao Zhang, et al.
Acta Pharmaceutica Sinica B (2025)
Open Access

Fine-tuning of conditional Transformers improves in silico enzyme prediction and generation
Marco Nicolini, Emanuele Saitto, Ruben Emilio Jimenez Franco, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 1318-1334
Open Access

PILOT: Deep Siamese network with hybrid attention improves prediction of mutation impact on protein stability
Yuan Zhang, Jianhua Deng, Mingyuan Dong, et al.
Neural Networks (2025), pp. 107476-107476
Closed Access

EvoAI enables extreme compression and reconstruction of the protein sequence space
Shuyi Zhang, Zi-yuan Ma, Wenjie Li, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 3

EvoAI enables extreme compression and reconstruction of the protein sequence space
Zi-yuan Ma, Wenjie Li, Yunhao Shen, et al.
Nature Methods (2024)
Open Access | Times Cited: 2

Enhancing protein stability prediction with geometric learning and pre-training strategies
Minghui Li
Nature Computational Science (2024) Vol. 4, Iss. 11, pp. 807-808
Closed Access

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