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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:

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

Showing 21 citing articles:

Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities
Thanh Tung Khuat, Robert Bassett, Ellen Otte, et al.
Computers & Chemical Engineering (2024) Vol. 182, pp. 108585-108585
Open Access | Times Cited: 19
Enhanced production of mycelium biomass and exopolysaccharides of Pleurotus ostreatus by integrating response surface methodology and artificial neural network
Arman Hamza, Abdul Khalad, Devarai Santhosh Kumar
Bioresource Technology (2024) Vol. 399, pp. 130577-130577
Closed Access | Times Cited: 9
Controlling tangential flow filtration in biomanufacturing processes via machine learning: A literature review
Bastian Oetomo, Ling Luo, Yun Qu, et al.
Digital Chemical Engineering (2025), pp. 100211-100211
Open Access
Machine Learning‐Powered Optimization of a CHO Cell Cultivation Process
Jannik Richter, Qimin Wang, Ferdinand Lange, et al.
Biotechnology and Bioengineering (2025)
Open Access
Machine Learning: A Suitable Method for Biocatalysis
Pedro Sampaio, Pedro Fernandes
Catalysts (2023) Vol. 13, Iss. 6, pp. 961-961
Open Access | Times Cited: 15
A deep learning-aided multi-objective optimization of a downstream process for production of monoclonal antibody products
Md Nasre Alam, Anupa Anupa, Hariprasad Kodamana, et al.
Biochemical Engineering Journal (2024) Vol. 208, pp. 109357-109357
Closed Access | Times Cited: 3
Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead!
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, et al.
Engineering (2023) Vol. 27, pp. 23-30
Open Access | Times Cited: 9
Automating CAR‐T Transfection with Micro and Nano‐Technologies
Tianmu Hu, Arun R. K. Kumar, Yikai Luo, et al.
Small Methods (2023) Vol. 8, Iss. 8
Closed Access | Times Cited: 8
Integrating MLSecOps in the Biotechnology Industry 5.0
Naseela Pervez, Alexander J. Titus
IntechOpen eBooks (2024)
Open Access | Times Cited: 2
Machine learning: an advancement in biochemical engineering
Ritika Saha, Ashutosh Chauhan, Smita Rastogi Verma
Biotechnology Letters (2024) Vol. 46, Iss. 4, pp. 497-519
Closed Access | Times Cited: 2
Regenerative bioelectronics: A strategic roadmap for precision medicine
Asish Panda, Bikramjit Basu
Biomaterials (2023) Vol. 301, pp. 122271-122271
Closed Access | Times Cited: 7
A Systematic Review of Machine-Learning Solutions in Anaerobic Digestion
Harvey Rutland, Jiseon You, Haixia Liu, et al.
Bioengineering (2023) Vol. 10, Iss. 12, pp. 1410-1410
Open Access | Times Cited: 7
Digitalization concepts in academic bioprocess development
Tessa Habich, Sascha Beutel
Engineering in Life Sciences (2024) Vol. 24, Iss. 4
Open Access | Times Cited: 1
Industry 4.0 technologies for cultivated meat manufacturing
Sishir K. Kamalapuram, Deepak Choudhury
Food Bioengineering (2024) Vol. 3, Iss. 1, pp. 14-28
Open Access | Times Cited: 1
Pushing the boundaries of phosphorylase cascade reaction for cellobiose production II: Model‐based multiobjective optimization
Alexander Sigg, Mario Klimacek, Bernd Nidetzky
Biotechnology and Bioengineering (2023) Vol. 121, Iss. 2, pp. 566-579
Open Access | Times Cited: 4
Synthetic Data with Nested Markov Chain for CIMA-Based Smart Lighting Control Deployment Simulation
Aji Gautama Putrada, Maman Abdurohman, Doan Perdana, et al.
(2023), pp. 148-153
Closed Access | Times Cited: 3
Machine Learning and Deep Learning Strategies for Chinese Hamster Ovary Cell Bioprocess Optimization
Tiffany-Marie D. Baako, S Kulkarni, Jerome McClendon, et al.
Fermentation (2024) Vol. 10, Iss. 5, pp. 234-234
Open Access
Inverse design of chemoenzymatic epoxidation of soyabean oil through artificial intelligence-driven experimental approach
Nipon Sarmah, Vazida Mehtab, Kashmiri Borah, et al.
Bioresource Technology (2024) Vol. 412, pp. 131405-131405
Closed Access
Self-driving development of perfusion processes for monoclonal antibody production
Claudio Müller, Thomas Vuillemin, Chethana Janardhana Gadiyar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Self-Driving Development of Perfusion Processes for Monoclonal Antibody Production
Claudio Müller, Thomas Vuillemin, Chethana Janardhana Gadiyar, et al.
(2024)
Closed Access
Development of a software architecture for bioprocess modeling
Priscila Marques da Paz, Caroline S.M. Nakama, G. Roux
Digital Chemical Engineering (2024), pp. 100210-100210
Open Access
Combined in-situ immobilization system of Chlorella sp. in photobioreactor
Carlos Ocampo-López, Margarita Ramírez-Carmona, Leidy Rendón-Castrillón, et al.
Case Studies in Chemical and Environmental Engineering (2023) Vol. 8, pp. 100462-100462
Open Access
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