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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 for metabolic engineering: A review
Christopher E. Lawson, Jose Manuel Martí, Tijana Radivojević, et al.
Metabolic Engineering (2020) Vol. 63, pp. 34-60
Open Access | Times Cited: 198

Showing 1-25 of 198 citing articles:

Microbial production of advanced biofuels
Jay D. Keasling, Héctor García Martín, Taek Soon Lee, et al.
Nature Reviews Microbiology (2021) Vol. 19, Iss. 11, pp. 701-715
Open Access | Times Cited: 200
Machine learning for biochemical engineering: A review
Max Mowbray, Thomas Savage, Chufan Wu, et al.
Biochemical Engineering Journal (2021) Vol. 172, pp. 108054-108054
Open Access | Times Cited: 130
Metabolic Engineering: Methodologies and Applications
Michael Volk, Vinh Tran, Shih‐I Tan, et al.
Chemical Reviews (2022) Vol. 123, Iss. 9, pp. 5521-5570
Closed Access | Times Cited: 86
Application of Artificial Intelligence in Lung Cancer
Hwa‐Yen Chiu, Heng‐Sheng Chao, Yuh‐Min Chen
Cancers (2022) Vol. 14, Iss. 6, pp. 1370-1370
Open Access | Times Cited: 70
Artificial Intelligence in Biological Sciences
Abhaya Bhardwaj, Shristi Kishore, Dhananjay K. Pandey
Life (2022) Vol. 12, Iss. 9, pp. 1430-1430
Open Access | Times Cited: 70
The emerging role of nanotechnology in plant genetic engineering
Henry Squire, Sophia Tomatz, Elizabeth Voke, et al.
Nature Reviews Bioengineering (2023) Vol. 1, Iss. 5, pp. 314-328
Closed Access | Times Cited: 47
Perspectives for self-driving labs in synthetic biology
Héctor García Martín, Tijana Radivojević, Jeremy Zucker, et al.
Current Opinion in Biotechnology (2023) Vol. 79, pp. 102881-102881
Open Access | Times Cited: 36
Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges
Manoj Kumar Goshisht
ACS Omega (2024) Vol. 9, Iss. 9, pp. 9921-9945
Open Access | Times Cited: 20
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
Machine learning prediction models for battery-electric bus energy consumption in transit
Hatem Abdelaty, Abdullah Al-Obaidi, Moataz Mohamed, et al.
Transportation Research Part D Transport and Environment (2021) Vol. 96, pp. 102868-102868
Closed Access | Times Cited: 77
Alternative metabolic pathways and strategies to high-titre terpenoid production inEscherichia coli
Mauro A. Rinaldi, Clara A. Ferraz, Nigel S. Scrutton
Natural Product Reports (2021) Vol. 39, Iss. 1, pp. 90-118
Open Access | Times Cited: 58
Modelling microbial communities: Harnessing consortia for biotechnological applications
Maziya Ibrahim, Lavanya Raajaraam, Karthik Raman
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 3892-3907
Open Access | Times Cited: 55
Machine learning in bioprocess development: from promise to practice
Laura M. Helleckes, Johannes Hemmerich, Wolfgang Wiechert, et al.
Trends in biotechnology (2022) Vol. 41, Iss. 6, pp. 817-835
Open Access | Times Cited: 55
Current status and future prospects in cannabinoid production through in vitro culture and synthetic biology
Mohsen Hesami, Marco Pepe, Austin Baiton, et al.
Biotechnology Advances (2022) Vol. 62, pp. 108074-108074
Closed Access | Times Cited: 54
A comprehensive review of Design of experiment (DOE) for water and wastewater treatment application - Key concepts, methodology and contextualized application
B.C.Y. Lee, Mohd Salim Mahtab, Teck Heng Neo, et al.
Journal of Water Process Engineering (2022) Vol. 47, pp. 102673-102673
Closed Access | Times Cited: 49
Machine learning for data integration in human gut microbiome
Peishun Li, Hao Luo, Boyang Ji, et al.
Microbial Cell Factories (2022) Vol. 21, Iss. 1
Open Access | Times Cited: 49
Machine learning: its challenges and opportunities in plant system biology
Mohsen Hesami, Milad Alizadeh, Andrew Maxwell Phineas Jones, et al.
Applied Microbiology and Biotechnology (2022) Vol. 106, Iss. 9-10, pp. 3507-3530
Closed Access | Times Cited: 46
Recent advances in machine learning applications in metabolic engineering
Pradipta Patra, Disha B.R., Pritam Kundu, et al.
Biotechnology Advances (2022) Vol. 62, pp. 108069-108069
Closed Access | Times Cited: 44
Merging automation and fundamental discovery into the design–build–test–learn cycle of nontraditional microbes
Nicolás Gurdo, Daniel C. Volke, Pablo I. Nikel
Trends in biotechnology (2022) Vol. 40, Iss. 10, pp. 1148-1159
Open Access | Times Cited: 40
Enabling technology and core theory of synthetic biology
Xian‐En Zhang, Chenli Liu, Junbiao Dai, et al.
Science China Life Sciences (2023) Vol. 66, Iss. 8, pp. 1742-1785
Open Access | Times Cited: 30
Artificial Intelligence and Lung Cancer: Impact on Improving Patient Outcomes
Zainab Gandhi, Priyatham Gurram, Birendra Amgai, et al.
Cancers (2023) Vol. 15, Iss. 21, pp. 5236-5236
Open Access | Times Cited: 30
An improved breast cancer disease prediction system using ML and PCA
Sara Laghmati, Soufiane Hamida, Khadija Hicham, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 33785-33821
Closed Access | Times Cited: 29
Deep flanking sequence engineering for efficient promoter design using DeepSEED
Pengcheng Zhang, Haochen Wang, Hanwen Xu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 29
Bridging the gap between mechanistic biological models and machine learning surrogates
Ioana M. Gherman, Zahraa S. Abdallah, Wei Pang, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 4, pp. e1010988-e1010988
Open Access | Times Cited: 25
New Frontiers in CRISPR: Addressing Antimicrobial Resistance with Cas9, Cas12, Cas13, and Cas14
Ahmed S.A. Ali Agha, Ali Al‐Samydai, Talal Aburjai
Heliyon (2025), pp. e42013-e42013
Open Access
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