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:

Control strategy for biopharmaceutical production by model predictive control
Touraj Eslami, Alois Jungbauer
Biotechnology Progress (2024) Vol. 40, Iss. 2
Open Access | Times Cited: 7

Showing 7 citing articles:

Integrating Order-of-Magnitude Analysis to Physics-Informed Neural Networks for Linear Chromatographic Models
Yucheng Chen, Shan‐Jing Yao, Dong‐Qiang Lin
Industrial & Engineering Chemistry Research (2025)
Closed Access

UV‐based dynamic control improves the robustness of multicolumn countercurrent solvent gradient purification of oligonucleotides
Ismaele Fioretti, Thomas Müller‐Späth, Lars Aumann, et al.
Biotechnology Journal (2024) Vol. 19, Iss. 7
Open Access | Times Cited: 3

The future of digital applications in pharmaceutical operations
Constantinos C. Pantelides, Frances E. Pereira
Current Opinion in Chemical Engineering (2024) Vol. 45, pp. 101038-101038
Closed Access | Times Cited: 2

Moving horizon estimation and control of a binary simulated moving bed chromatographic processes with Langmuir isotherms
Valentin Plamenov Chernev, Achim Kienle, Alain Vande Wouwer
Computers & Chemical Engineering (2024) Vol. 189, pp. 108804-108804
Open Access | Times Cited: 1

Assessment of data‐driven modeling approaches for chromatographic separation processes
Foteini Michalopoulou, Maria M. Papathanasiou
AIChE Journal (2024)
Open Access | Times Cited: 1

Model-Based Adaptive Control of Bioreactors—A Brief Review
Velislava Lyubenova, Maya Ignatova, Dafina Zoteva, et al.
Mathematics (2024) Vol. 12, Iss. 14, pp. 2205-2205
Open Access

Developing physics-informed neural networks for model predictive control of periodic counter-current chromatography
S. H. Tang, Yun-Hao Yuan, Yan-Na Sun, et al.
Journal of Chromatography A (2024) Vol. 1739, pp. 465514-465514
Closed Access

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