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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:

AI-ML applications in bioprocessing: ML as an enabler of real time quality prediction in continuous manufacturing of mAbs
Saxena Nikita, Garima Thakur, Naveen G. Jesubalan, et al.
Computers & Chemical Engineering (2022) Vol. 164, pp. 107896-107896
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Review on machine learning-based bioprocess optimization, monitoring, and control systems
Partha Pratim Mondal, Abhinav Galodha, Vishal Verma, et al.
Bioresource Technology (2022) Vol. 370, pp. 128523-128523
Closed Access | Times Cited: 68
Advancements in microneedle fabrication techniques: artificial intelligence assisted 3D-printing technology
Anuj A. Biswas, Madhukiran R. Dhondale, Ashish Kumar Agrawal, et al.
Drug Delivery and Translational Research (2024) Vol. 14, Iss. 6, pp. 1458-1479
Closed Access | Times Cited: 12
Roles of mechanistic, data-driven, and hybrid modeling approaches for pharmaceutical process design and operation
Mohamed Rami Gaddem, Junu Kim, Kensaku Matsunami, et al.
Current Opinion in Chemical Engineering (2024) Vol. 44, pp. 101019-101019
Closed Access | Times Cited: 8
Comparison of Machine Learning-Enhanced Dynamic Hybrid Models for a Nanobody Scorpion Antivenom Production with Escherichia Coli
Irene Martínez-Menéndez, Juan C. Acosta-Pavas, David Camilo Corrales, et al.
Lecture notes in networks and systems (2025), pp. 307-316
Closed Access
NIR spectroscopy—CNN‐enabled chemometrics for multianalyte monitoring in microbial fermentation
Shantanu Banerjee, Shyamapada Mandal, Naveen G. Jesubalan, et al.
Biotechnology and Bioengineering (2024) Vol. 121, Iss. 6, pp. 1803-1819
Closed Access | Times Cited: 5
Toward Microfluidic Continuous-flow and Intelligent Downstream Processing of Biopharmaceuticals
Vikas Sharma, Amirreza Mottafegh, Jeong‐Un Joo, et al.
Lab on a Chip (2024) Vol. 24, Iss. 11, pp. 2861-2882
Open Access | Times Cited: 5
A Paradigm of Computer Vision and Deep Learning Empowers the Strain Screening and Bioprocess Detection
Feng Xu, Su Li, Yuan Wang, et al.
Biotechnology and Bioengineering (2025)
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
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: 4
Advances and opportunities in process analytical technologies for viral vector manufacturing
Sobhana A. Sripada, Mahshid Hosseini, Srivatsan Ramesh, et al.
Biotechnology Advances (2024) Vol. 74, pp. 108391-108391
Closed Access | Times Cited: 4
Process Automation and Control Strategy by Quality-by-Design in Total Continuous mRNA Manufacturing Platforms
A. Schmidt, Heribert Helgers, Florian Lukas Vetter, et al.
Processes (2022) Vol. 10, Iss. 9, pp. 1783-1783
Open Access | Times Cited: 20
Development and validation of a hybrid model for prediction of viable cell density, titer and cumulative glucose consumption in a mammalian cell culture system
Bhagya S. Yatipanthalawa, Shauna E. Wallace Fitzsimons, Tizita Horning, et al.
Computers & Chemical Engineering (2024) Vol. 184, pp. 108648-108648
Open Access | Times Cited: 3
Explainable deep learning enhances robust and reliable real‐time monitoring of a chromatographic protein A capture step
Matthias Medl, Friedrich Leisch, Astrid Dürauer, et al.
Biotechnology Journal (2024) Vol. 19, Iss. 2
Closed Access | Times Cited: 2
Holistic process control framework for smart biomanufacturing: A deep learning driven approach
Saxena Nikita, Shantanu Banerjee, Naveen G. Jesubalan, et al.
Computers & Chemical Engineering (2024) Vol. 187, pp. 108742-108742
Closed Access | Times Cited: 2
Sensors and chemometrics in downstream processing
Astrid Dürauer, Alois Jungbauer, Theresa Scharl
Biotechnology and Bioengineering (2023) Vol. 121, Iss. 8, pp. 2347-2364
Open Access | Times Cited: 7
Soft sensor based rapid detection of trace chlorine dioxide (ClO2) concentration in water
Hemlata Chhabra, Naveen G. Jesubalan, Anurag S. Rathore
Water Research (2023) Vol. 242, pp. 120231-120231
Closed Access | Times Cited: 5
Digitalization concepts in academic bioprocess development
Tessa Habich, Sascha Beutel
Engineering in Life Sciences (2024) Vol. 24, Iss. 4
Open Access | Times Cited: 1
Antibody glycan quality predicted from CHO cell culture media markers and machine learning
Meiyappan Lakshmanan, Sean Chia, Kuin Tian Pang, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2497-2506
Open Access | Times Cited: 1
Predictive models for upstream mammalian cell culture development - A review
Bhagya S. Yatipanthalawa, Sally L. Gras
Digital Chemical Engineering (2023) Vol. 10, pp. 100137-100137
Open Access | Times Cited: 4
Towards Digital Twin for Biopharmaceutical Processes: Concept and Progress
Chaoying Ding, Ou Yang, Marianthi Ierapetritou
Cell engineering (2023), pp. 179-211
Closed Access | Times Cited: 4
Monitoring Product Quantity, Purity and Potency of Biopharmaceuticals in Real-time by Predictive Chemometrics and Soft sensors
Astrid Dürauer, Alois Jungbauer, Theresa Scharl
Authorea (Authorea) (2023)
Open Access | Times Cited: 2
Deep neural network for prediction and control of permeability decline in single pass tangential flow ultrafiltration in continuous processing of monoclonal antibodies
Naveen G. Jesubalan, Garima Thakur, Anurag S. Rathore
Frontiers in Chemical Engineering (2023) Vol. 5
Open Access | Times Cited: 2
Rapid total sialic acid monitoring during cell culture process using a machine learning model based soft sensor
Amir M. Behdani, Yuxiang Zhao, Grace Yao, et al.
Biotechnology Progress (2024)
Closed Access
Multi-attribute monitoring applications in biopharmaceutical analysis
Anurag S. Rathore, Deepika Sarin, Sanghati Bhattacharya, et al.
Journal of Chromatography Open (2024) Vol. 6, pp. 100166-100166
Open Access
Physics‐informed neural networks guided modelling and multiobjective optimization of a mAb production process
Md Nasre Alam, Anurag Anurag, Neelesh Gangwar, et al.
The Canadian Journal of Chemical Engineering (2024)
Closed Access
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