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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:

Hybrid modeling for biopharmaceutical processes: advantages, opportunities, and implementation
Harini Narayanan, Moritz von Stosch, Fabian Feidl, et al.
Frontiers in Chemical Engineering (2023) Vol. 5
Open Access | Times Cited: 25

Showing 25 citing articles:

What should next-generation analytical platforms for biopharmaceutical production look like?
Anurag S. Rathore, Deepika Sarin
Trends in biotechnology (2023) Vol. 42, Iss. 3, pp. 282-292
Closed Access | Times Cited: 18
End-to-end process flowsheet modeling for biopharmaceutical production: current state and future potential
Nikola G Malinov, Katherine Raudenbush-Henderson, Chaoying Ding, et al.
Current Opinion in Chemical Engineering (2024) Vol. 45, pp. 101044-101044
Closed Access | Times Cited: 6
Hybrid deep modeling of a CHO-K1 fed-batch process: combining first-principles with deep neural networks
José M. Pinto, João R. C. Ramos, Rafael S. Costa, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 12
An innovative hybrid modeling approach for simultaneous prediction of cell culture process dynamics and product quality
Jakub Polak, Zhuangrong Huang, Michael Sokolov, et al.
Biotechnology Journal (2024) Vol. 19, Iss. 3
Closed Access | Times Cited: 4
Machine learning for viscoelastic constitutive model identification and parameterisation using Large Amplitude Oscillatory Shear
Thomas John, Max Mowbray, A. Alalwyat, et al.
Chemical Engineering Science (2024) Vol. 294, pp. 120075-120075
Open Access | Times Cited: 4
Real-time process safety and systems decision-making toward safe and smart chemical manufacturing
Austin Braniff, Sahithi Srijana Akundi, Yuanxing Liu, et al.
Digital Chemical Engineering (2025), pp. 100227-100227
Open Access
Spectroscopic Advances in Real Time Monitoring of Pharmaceutical Bioprocesses: A Review of Vibrational and Fluorescence Techniques
Abhishek Mishra, Mohammad Aghaee, Ibrahim Melih Tamer, et al.
Spectroscopy Journal (2025) Vol. 3, Iss. 2, pp. 12-12
Open Access
Recurrent Neural Networks for Forecasting Time-Varying Process Behavior in Mammalian Cell Culture
Yen‐An Lu, Yudai Fukae, Wei‐Shou Hu, et al.
Industrial & Engineering Chemistry Research (2025)
Closed Access
Hybrid Modeling of the Reversed‐Phase Chromatographic Purification of an Oligonucleotide: Few‐Shot Learning From Differentiable Physics Solver‐in‐the‐Loop
Y. Z. Chen, Ismaele Fioretti, Dong‐Qiang Lin, et al.
Biotechnology and Bioengineering (2025)
Open Access
A hybrid system for design space estimation in a rotary tablet press
Mohammad Shahab, Sunidhi Bachawala, Marcial Gonzalez, et al.
International Journal of Pharmaceutics (2025), pp. 125663-125663
Closed Access
Accelerating vaccine manufacturing development through model-based approaches: current advances and future opportunities
Elham Ramin, A. Cardillo, Reinhard Liebers, et al.
Current Opinion in Chemical Engineering (2023) Vol. 43, pp. 100998-100998
Open Access | Times Cited: 9
Artificial intelligence and machine learning at various stages and scales of process systems engineering
Karthik K. Srinivasan, Anjana Puliyanda, Devavrat Thosar, et al.
The Canadian Journal of Chemical Engineering (2024) Vol. 103, Iss. 3, pp. 1004-1035
Open Access | Times Cited: 3
Advances on hybrid modelling for bioprocesses engineering: insights into research trends and future directions from a bibliometric approach
Juan Federico Herrera-Ruiz, Javier Fontalvo, Oscar Andrés Prado-Rúbio
Results in Engineering (2024), pp. 103548-103548
Open Access | Times Cited: 3
Physics‐informed neural networks for biopharmaceutical cultivation processes: Consideration of varying process parameter settings
Niklas Adebar, Sabine Arnold, Liliana Montano-Herrera, et al.
Biotechnology and Bioengineering (2024)
Closed Access | Times Cited: 2
Transfer learning Bayesian optimization for competitor DNA molecule design for use in diagnostic assays
Ruby Sedgwick, John Goertz, Molly M. Stevens, et al.
Biotechnology and Bioengineering (2024)
Open Access | Times Cited: 2
A multiscale hybrid modelling methodology for cell cultures enabled by enzyme-constrained dynamic metabolic flux analysis under uncertainty
Oliver Pennington, Sebastián Espinel‐Ríos, Mauro Torres Sebastian, et al.
Metabolic Engineering (2024) Vol. 86, pp. 274-287
Open Access | Times Cited: 2
Mechanistic modeling of anti-Langmuirian to Langmuirian behavior of Fc-fusion proteins in cation exchange chromatography
Yu‐Cheng Chen, Xue‐Zhao Zhong, Ce Shi, et al.
Journal of Chromatography A (2024), pp. 465602-465602
Closed Access | Times Cited: 2
Regression Metamodel-Based Digital Twin for an Industrial Dynamic Crossflow Filtration Process
Matthias Heusel, Gunnar Grim, J B Rauhut, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 212-212
Open Access | Times Cited: 1
Machine learning uncovers analytical kinetic models of bioprocesses
Tim Forster, Daniel Vázquez, Claudio Müller, et al.
Chemical Engineering Science (2024) Vol. 300, pp. 120606-120606
Open Access | Times Cited: 1
Navigating industry 4.0 and 5.0: the role of hybrid modelling in (bio)chemical engineering’s digital transition
Carina L. Gargalo, Alina Anamaria Malanca, Adem R.N. Aouichaoui, et al.
Frontiers in Chemical Engineering (2024) Vol. 6
Open Access | Times Cited: 1
Advanced Modeling of Biomanufacturing Processes
Giannis Penloglou, Alexandros Kiparissides
Processes (2024) Vol. 12, Iss. 2, pp. 387-387
Open Access
Regression Metamodel-Based Digital Twin for an Industrial Dynamic Crossflow Filtration Process
Matthias Heusel, Gunnar Grim, J B Rauhut, et al.
(2024)
Open Access
Correlating the partitioning of organic molecules between water and [MeoeMPyrr]+ [FAP]- through machine learning
Flora Esposito, Ulderico Di Caprio, Florence H. Vermeire, et al.
Computer-aided chemical engineering/Computer aided chemical engineering (2024), pp. 2959-2964
Closed Access
Application of flowsheet modeling for scheduling and debottlenecking analysis to support the development and scale-up of a plasma-derived therapeutic protein purification process
Chaoying Ding, Matthew Kujawa, Michael Bartkovsky, et al.
Biochemical Engineering Journal (2024) Vol. 212, pp. 109501-109501
Closed Access
Comparing in silico flowsheet optimization strategies in biopharmaceutical downstream processes
Daphne Keulen, Myrto Elvira Apostolidi, Geoffroy Geldhof, et al.
Biotechnology Progress (2024)
Open Access
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