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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:

Opportunities and challenges of machine learning in bioprocesses: Categorization from different perspectives and future direction
Seung Ji Lim, Moon Son, Seo Jin Ki, et al.
Bioresource Technology (2022) Vol. 370, pp. 128518-128518
Open Access | Times Cited: 20

Showing 20 citing articles:

Optimizing biodiesel production from waste with computational chemistry, machine learning and policy insights: a review
Ahmed I. Osman, Mahmoud Nasr, Mohamed Farghali, et al.
Environmental Chemistry Letters (2024) Vol. 22, Iss. 3, pp. 1005-1071
Open Access | Times Cited: 43
Artificial intelligence and machine learning for smart bioprocesses
Samir Kumar Khanal, Ayon Tarafdar, Siming You
Bioresource Technology (2023) Vol. 375, pp. 128826-128826
Closed Access | Times Cited: 40
An artificial intelligence approach for identification of microalgae cultures
Pablo Otálora, José Luís Guzmán, F.G. Acién, et al.
New Biotechnology (2023) Vol. 77, pp. 58-67
Open Access | Times Cited: 16
Predicting maturity and identifying key factors in organic waste composting using machine learning models
Ning Wang, Wanli Yang, Bingshu Wang, et al.
Bioresource Technology (2024) Vol. 400, pp. 130663-130663
Closed Access | Times Cited: 7
Artificial intelligence applications for fault detection and diagnosis in pharmaceutical bioprocesses: a review
Mohammad Aghaee, Abhishek Mishra, Stéphane Krau, et al.
Current Opinion in Chemical Engineering (2024) Vol. 44, pp. 101025-101025
Open Access | Times Cited: 5
Machine learning in microalgae biotechnology for sustainable biofuel production: Advancements, applications, and prospects
Chao‐Tung Yang, Endah Kristiani, Yoong Kit Leong, et al.
Bioresource Technology (2024), pp. 131549-131549
Closed Access | Times Cited: 5
Advances in modeling analysis for multi-parameter bioreactor process control
Xinsong Lin, Ke Li, Changzhe Wu, et al.
Biotechnology and Bioprocess Engineering (2025)
Closed 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
Effects of Bacillus-based inoculum on odor emissions co-regulation, nutrient element transformations and microbial community tropological structures during chicken manure and sawdust composting
Huaxuan Zhao, Shangmin Li, Junhua Pu, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120328-120328
Closed Access | Times Cited: 4
Hyperbox Mixture Regression for process performance prediction in antibody production
Ali Nik-Khorasani, Thanh Tung Khuat, Bogdan Gabryś
Digital Chemical Engineering (2025), pp. 100221-100221
Open Access
MBR membrane fouling diagnosis based on improved residual neural network
Zhiwen Wang, Jingxiao Zeng, Yaoke Shi, et al.
Journal of environmental chemical engineering (2023) Vol. 11, Iss. 3, pp. 109742-109742
Closed Access | Times Cited: 7
Process Systems Engineering Tools for Optimization of Trained Machine Learning Models: Comparative and Perspective
Francisco Javier López-Flores, César Ramírez‐Márquez, José María Ponce‐Ortega
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 32, pp. 13966-13979
Closed Access | Times Cited: 2
Nonionic surfactant Tween 80-facilitated bacterial transport in porous media: A nonmonotonic concentration-dependent performance, mechanism, and machine learning prediction
Dong Zhang, Jiacheng Jiang, Huading Shi, et al.
Environmental Research (2024) Vol. 251, pp. 118670-118670
Closed Access | Times Cited: 1
Comparative studies on modeling and optimization of fermentation process conditions for fungal asparaginase production using artificial intelligence and machine learning techniques
G. Baskar, Rajendran Sivakumar, Seifedine Kadry, et al.
Preparative Biochemistry & Biotechnology (2024) Vol. 55, Iss. 1, pp. 93-99
Closed Access | Times Cited: 1
Cell-free synthetic biology: Navigating the new frontiers of biomanufacturing and biological engineering
So Jeong Lee, Dong‐Myung Kim
Current Opinion in Systems Biology (2023) Vol. 37, pp. 100488-100488
Closed Access | Times Cited: 2
Reliable calibration and validation of phenomenological and hybrid models of high-cell-density fed-batch cultures subject to metabolic overflow
Francisco Javier Muñoz Ibáñez, Hernán Puentes-Cantor, Lisbel Bárzaga-Martell, et al.
Computers & Chemical Engineering (2024) Vol. 186, pp. 108706-108706
Closed Access
Optimization of phenyllactic acid biosynthesis and separation by machine learning with neural network and overlay sampling uniform design
Jiawei Wu, Zhihong Chen, Lulu Liu, et al.
Biochemical Engineering Journal (2024), pp. 109506-109506
Closed Access
Explainable machine learning for groundwater contamination by arsenic remobilization from a vadose zone
Tho Huu Huynh Tran, Sang Hyun Kim, Quynh Hoang Ngan Nguyen, et al.
Research Square (Research Square) (2024)
Open Access
Possibilities of Sustainable Bioenergy Generation from Palm Oil Mill Effluent using Anaerobic Technology
Santhana Krishnan, Mohd Nasrullah, Zularisam Ab Wahid, et al.
Microorganisms for sustainability (2024), pp. 233-248
Closed Access
Machine learning model-based design and model predictive control of a bioreactor for the improved production of mammalian cell-based bio-therapeutics
Ashley Dan, Bochi Liu, Urjit Patil, et al.
Control Engineering Practice (2024) Vol. 156, pp. 106198-106198
Open Access
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