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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:

Machine learning-enabled retrobiosynthesis of molecules
Tianhao Yu, Aashutosh Girish Boob, Michael Volk, et al.
Nature Catalysis (2023) Vol. 6, Iss. 2, pp. 137-151
Closed Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

From nature to industry: Harnessing enzymes for biocatalysis
Rebecca Buller, Stefan Lutz, Romas J. Kazlauskas, et al.
Science (2023) Vol. 382, Iss. 6673
Open Access | Times Cited: 168
Enzyme function prediction using contrastive learning
Tianhao Yu, Haiyang Cui, Jianan Canal Li, et al.
Science (2023) Vol. 379, Iss. 6639, pp. 1358-1363
Closed Access | Times Cited: 158
Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 65
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
Automated in vivo enzyme engineering accelerates biocatalyst optimization
Enrico Orsi, Lennart Schada von Borzyskowski, Stephan Noack, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 18
Biocatalytic reductive aminations with NAD(P)H-dependent enzymes: enzyme discovery, engineering and synthetic applications
Bo Yuan, Dameng Yang, Ge Qu, et al.
Chemical Society Reviews (2023) Vol. 53, Iss. 1, pp. 227-262
Closed Access | Times Cited: 23
A comprehensive review of sustainable bioremediation techniques: Eco friendly solutions for waste and pollution management
Narendra Kuppan, Midhila Padman, M Mahadeva, et al.
Waste Management Bulletin (2024) Vol. 2, Iss. 3, pp. 154-171
Open Access | Times Cited: 11
Learning from Protein Engineering by Deconvolution of Multi‐Mutational Variants
Frank Hollmann, Joaquin Sanchis, Manfred T. Reetz
Angewandte Chemie International Edition (2024) Vol. 63, Iss. 36
Open Access | Times Cited: 10
Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects
George Obaido, Ibomoiye Domor Mienye, Oluwaseun Francis Egbelowo, et al.
Machine Learning with Applications (2024) Vol. 17, pp. 100576-100576
Open Access | Times Cited: 10
Enzyme engineering for biocatalysis
Caroline E. Paul, Ulf Hanefeld, Frank Hollmann, et al.
Molecular Catalysis (2024) Vol. 555, pp. 113874-113874
Open Access | Times Cited: 9
Practical Machine Learning-Assisted Design Protocol for Protein Engineering: Transaminase Engineering for the Conversion of Bulky Substrates
Marian J. Menke, Yu‐Fei Ao, Uwe T. Bornscheuer
ACS Catalysis (2024) Vol. 14, Iss. 9, pp. 6462-6469
Closed Access | Times Cited: 7
Developing BioNavi for Hybrid Retrosynthesis Planning
Tao Zeng, Zhehao Jin, Shuangjia Zheng, et al.
JACS Au (2024) Vol. 4, Iss. 7, pp. 2492-2502
Open Access | Times Cited: 7
Enhanced Deep-Learning Model for Carbon Footprints of Chemicals
Dachuan Zhang, Zhanyun Wang, Christopher Oberschelp, et al.
ACS Sustainable Chemistry & Engineering (2024) Vol. 12, Iss. 7, pp. 2700-2708
Open Access | Times Cited: 6
Iterative design of training data to control intricate enzymatic reaction networks
Bob van Sluijs, Tao Zhou, Britta Helwig, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Artificial Intelligence in Retrosynthesis Prediction and its Applications in Medicinal Chemistry
Lanxin Long, Rui Li, Jian Zhang
Journal of Medicinal Chemistry (2025)
Closed Access
HiRXN: Hierarchical Attention-Based Representation Learning for Chemical Reaction
Yahui Cao, Tao Zhang, Xin Zhao, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Machine Learning-Enabled Genome Mining and Bioactivity Prediction of Natural Products
Yujie Yuan, Chengyou Shi, Huimin Zhao
ACS Synthetic Biology (2023) Vol. 12, Iss. 9, pp. 2650-2662
Open Access | Times Cited: 15
DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering
Jason Yang, Julie Ducharme, Kadina E. Johnston, et al.
ACS Synthetic Biology (2023) Vol. 12, Iss. 8, pp. 2444-2454
Open Access | Times Cited: 14
READRetro: natural product biosynthesis predicting with retrieval‐augmented dual‐view retrosynthesis
Taein Kim, Seul Lee, Yejin Kwak, et al.
New Phytologist (2024) Vol. 243, Iss. 6, pp. 2512-2527
Closed Access | Times Cited: 5
Overcoming barriers to medium-chain fatty alcohol production
Yun Su, Anna Mangus, William T. Cordell, et al.
Current Opinion in Biotechnology (2024) Vol. 85, pp. 103063-103063
Open Access | Times Cited: 4
The Scent of Change: Sustainable Fragrances Through Industrial Biotechnology
Freideriki Michailidou
ChemBioChem (2023) Vol. 24, Iss. 19
Closed Access | Times Cited: 11
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
High-throughput prediction of enzyme promiscuity based on substrate–product pairs
Huadong Xing, Pengli Cai, Dongliang Liu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 3
Forecasting of energy efficiency in buildings using multilayer perceptron regressor with waterwheel plant algorithm hyperparameter
Amal H. Alharbi, Doaa Sami Khafaga, Ahmed Mohamed Zaki, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 3
Multidisciplinary approaches for enzyme biocatalysis in pharmaceuticals: protein engineering, computational biology, and nanoarchitectonics
Suhyeon Kim, Seongmin Ga, Hayeon Bae, et al.
EES Catalysis (2023) Vol. 2, Iss. 1, pp. 14-48
Open Access | Times Cited: 10
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