Open Access Helper

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:

Harnessing generative AI to decode enzyme catalysis and evolution for enhanced engineering
Wen Jun Xie, Arieh Warshel
National Science Review (2023) Vol. 10, Iss. 12
Open Access | Times Cited: 11

Showing 11 citing articles:

A Survey on Multimodal Large Language Models
Shukang Yin, Chaoyou Fu, Sirui Zhao, et al.
National Science Review (2024) Vol. 11, Iss. 12
Open Access | Times Cited: 52
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
Smart estimation of protective antioxidant enzymes’ activity in savory (Satureja rechingeri L.) under drought stress and soil amendments
Amin Taheri‐Garavand, Mojgan Beiranvandi, Abdolreza Ahmadi, et al.
BMC Plant Biology (2025) Vol. 25, Iss. 1
Open Access
Generative Artificial Intelligence (GenAI) in the research process – a survey of researchers’ practices and perceptions
Jens Peter Andersen, Lise Degn, Rachel Fishberg, et al.
Technology in Society (2025), pp. 102813-102813
Open Access
Biochemical and Computational Characterization of Haloalkane Dehalogenase Variants Designed by Generative AI: Accelerating the SN2 Step
Natalia Gelfand, Vojtěch Orel, W.P. Cui, et al.
Journal of the American Chemical Society (2025)
Closed Access
Merits and Demerits of Machine Learning of Ferroelectric, Flexoelectric, and Electrolytic Properties of Ceramic Materials
Kyuichi Yasui
Materials (2024) Vol. 17, Iss. 11, pp. 2512-2512
Open Access | Times Cited: 1
New advances in protein engineering for industrial applications: Key takeaways
Giles Obinna Ndochinwa, Qingyan Wang, Nkwachukwu Oziamara Okoro, et al.
Open Life Sciences (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Discovery of alkaline laccases from basidiomycete fungi through machine learning-based approach
Xing Wan, Sazzad Shahrear, Shea Wen Chew, et al.
Biotechnology for Biofuels and Bioproducts (2024) Vol. 17, Iss. 1
Open Access
Bioengineered therapeutic systems for improving antitumor immunity
Ying Cao, Wenlu Yan, Wenzhe Yi, et al.
National Science Review (2024) Vol. 12, Iss. 1
Open Access
Advances in Zero‐Shot Prediction‐Guided Enzyme Engineering Using Machine Learning
Chang Liu, Junxian Wu, Yongbo Chen, et al.
ChemCatChem (2024)
Closed Access
Preface: paving the road for AI in molecular sciences
Yi Qin Gao
National Science Review (2023) Vol. 10, Iss. 12
Open Access
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