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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 26-50 of 198 citing articles:

Beyond In Vivo, Pharmaceutical Molecule Production in Cell-Free Systems and the Use of Noncanonical Amino Acids Therein
Marco G. Casteleijn, Ulrike Abendroth, Anne Zemella, et al.
Chemical Reviews (2025)
Open Access
Different Strategies for the Biosynthesis of Bioactive Peptide Using Bioengineering Technology in Pichia pastoris: A Review
Kai Hong, Yefei Rong, Yi Jiang, et al.
Food and Bioprocess Technology (2025)
Closed Access
Machine learning for synthetic gene circuit engineering
Sebastian Palacios, James J. Collins, Domitilla Del Vecchio
Current Opinion in Biotechnology (2025) Vol. 92, pp. 103263-103263
Closed Access
Challenges and opportunities in biological funneling of heterogeneous and toxic substrates beyond lignin
Andrew J. Borchert, William R. Henson, Gregg T. Beckham
Current Opinion in Biotechnology (2021) Vol. 73, pp. 1-13
Open Access | Times Cited: 49
Synthetic biology for future food: Research progress and future directions
Xueqin Lv, Yaokang Wu, Mengyue Gong, et al.
Future Foods (2021) Vol. 3, pp. 100025-100025
Open Access | Times Cited: 47
Synthetic biology as driver for the biologization of materials sciences
Orlando Burgos‐Morales, Marième Gueye, L. Lacombe, et al.
Materials Today Bio (2021) Vol. 11, pp. 100115-100115
Open Access | Times Cited: 45
Integrated knowledge mining, genome-scale modeling, and machine learning for predicting Yarrowia lipolytica bioproduction
Jeffrey J. Czajka, Tolutola Oyetunde, Yinjie Tang
Metabolic Engineering (2021) Vol. 67, pp. 227-236
Open Access | Times Cited: 42
Machine learning in the identification, prediction and exploration of environmental toxicology: Challenges and perspectives
Xiaotong Wu, Qixing Zhou, Mu Li, et al.
Journal of Hazardous Materials (2022) Vol. 438, pp. 129487-129487
Closed Access | Times Cited: 33
Toward improved terpenoids biosynthesis: strategies to enhance the capabilities of cell factories
Eric Fordjour, Emmanuel Osei Mensah, Yunpeng Hao, et al.
Bioresources and Bioprocessing (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 32
Optimizing cellulase production from Aspergillus flavus using response surface methodology and machine learning models
Anjali Singhal, Neeta Kumari, Pooja Ghosh, et al.
Environmental Technology & Innovation (2022) Vol. 27, pp. 102805-102805
Open Access | Times Cited: 32
Recent advances in facemask devices for in vivo sampling of human exhaled breath aerosols and inhalable environmental exposures
Bin Hu
TrAC Trends in Analytical Chemistry (2022) Vol. 151, pp. 116600-116600
Open Access | Times Cited: 29
Towards next-generation cell factories by rational genome-scale engineering
Suzan Yilmaz, Ákos Nyerges, John van der Oost, et al.
Nature Catalysis (2022) Vol. 5, Iss. 9, pp. 751-765
Closed Access | Times Cited: 29
Digitally enabled approaches for the scale up of mammalian cell bioreactors
Masih Karimi Alavijeh, Irene Baker, Yih Yean Lee, et al.
Digital Chemical Engineering (2022) Vol. 4, pp. 100040-100040
Closed Access | Times Cited: 28
Artificial intelligence: a solution to involution of design–build–test–learn cycle
Xiaoping Liao, Hongwu Ma, Yinjie Tang
Current Opinion in Biotechnology (2022) Vol. 75, pp. 102712-102712
Closed Access | Times Cited: 27
Biotechnological production of omega-3 fatty acids: current status and future perspectives
Jiansong Qin, Elif Kurt, Tyler LBassi, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 17
Data‐driven prediction models for forecasting multistep ahead profiles of mammalian cell culture toward bioprocess digital twins
Seo‐Young Park, S.H. Kim, C.-Y. Park, et al.
Biotechnology and Bioengineering (2023) Vol. 120, Iss. 9, pp. 2494-2508
Closed Access | Times Cited: 14
Diagnosis of Parkinson's Disease via the Metabolic Fingerprint in Saliva by Deep Learning
Wei Xu, Lina Chen, Guoen Cai, et al.
Small Methods (2023) Vol. 7, Iss. 7
Closed Access | Times Cited: 14
Strategies, Achievements, and Potential Challenges of Plant and Microbial Chassis in the Biosynthesis of Plant Secondary Metabolites
Taotao Han, Guopeng Miao
Molecules (2024) Vol. 29, Iss. 9, pp. 2106-2106
Open Access | Times Cited: 5
Enhancing compound confidence in suspect and non-target screening through machine learning-based retention time prediction
Dehao Song, Ting Tang, Rui Wang, et al.
Environmental Pollution (2024) Vol. 347, pp. 123763-123763
Closed Access | Times Cited: 4
Prediction of Asphaltene Deposition Dynamics in Various Microfluidic Geometries Using Computational Fluid Dynamics
Hossein Mohammadghasemi, Saeed Mozaffari, Milad Shakouri Kalfati, et al.
Energy & Fuels (2024) Vol. 38, Iss. 9, pp. 7786-7800
Closed Access | Times Cited: 4
A versatile microbial platform as a tunable whole-cell chemical sensor
Javier M Hernández-Sancho, Arnaud Boudigou, Maria V G Alván-Vargas, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Autofluorescence-spectral imaging as an innovative method for rapid, non-destructive and reliable assessing of soybean seed quality
Clíssia Barboza da Silva, Nielsen Moreira Oliveira, Marcia Eugenia Amaral Carvalho, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 32
Perspective: Multiomics and Machine Learning Help Unleash the Alternative Food Potential of Microalgae
Mohamed Helmy, Hosam Elhalis, Yan Liu, et al.
Advances in Nutrition (2022) Vol. 14, Iss. 1, pp. 1-11
Open Access | Times Cited: 24
Construction of Multiscale Genome-Scale Metabolic Models: Frameworks and Challenges
Xinyu Bi, Yanfeng Liu, Jianghua Li, et al.
Biomolecules (2022) Vol. 12, Iss. 5, pp. 721-721
Open Access | Times Cited: 22
When bioprocess engineering meets machine learning: A survey from the perspective of automated bioprocess development
Nghia Duong‐Trung, Stefan Born, Jong Woo Kim, et al.
Biochemical Engineering Journal (2022) Vol. 190, pp. 108764-108764
Open Access | Times Cited: 21

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