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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:

Machine learning-based ethylene concentration estimation, real-time optimization and feedback control of an experimental electrochemical reactor
Berkay Çıtmacı, Junwei Luo, Joonbaek Jang, et al.
Process Safety and Environmental Protection (2022) Vol. 185, pp. 87-107
Open Access | Times Cited: 17

Showing 17 citing articles:

Modeling diurnal and annual ethylene generation from solar-driven electrochemical CO2 reduction devices
Kyra M. K. Yap, William J. Wei, Melanie Rodríguez Pabón, et al.
Energy & Environmental Science (2024) Vol. 17, Iss. 7, pp. 2453-2467
Closed Access | Times Cited: 10
Computational applications using data driven modeling in process Systems: A review
Sumit K. Bishnu, Sabla Y. Alnouri, Dhabia M. Al-Mohannadi
Digital Chemical Engineering (2023) Vol. 8, pp. 100111-100111
Open Access | Times Cited: 18
A novel modeling strategy for the prediction on the concentration of H2 and CH4 in raw coke oven gas
Yang Lei, Yuming Chen, Jinghai Chen, et al.
Energy (2023) Vol. 273, pp. 127126-127126
Open Access | Times Cited: 15
Machine learning-based ethylene and carbon monoxide estimation, real-time optimization, and multivariable feedback control of an experimental electrochemical reactor
Berkay Çıtmacı, Junwei Luo, Joonbaek Jang, et al.
Process Safety and Environmental Protection (2023) Vol. 191, pp. 658-681
Open Access | Times Cited: 13
Machine learning-based predictive control using on-line model linearization: Application to an experimental electrochemical reactor
Junwei Luo, Berkay Çıtmacı, Joonbaek Jang, et al.
Process Safety and Environmental Protection (2023) Vol. 197, pp. 721-737
Closed Access | Times Cited: 11
AI-enhanced multi-scale smart systems for decarbonization in the chemical industry: a pathway to sustainable and efficient production
Xuequn Chong, Lanyu Li, Chuan Zhang, et al.
(2025)
Closed Access
Análise Bibliométrica Sobre A Indústria 4.0 na Engenharia Química
Igor Oliveira Bachieti, Carlos Minoru Nascimento Yoshioka, Ana Beatriz Neves Brito
(2025) Vol. 8, Iss. 1, pp. 23-44
Closed Access
Feedback control of an experimental electrically-heated steam methane reformer
Berkay Çıtmacı, Dominic Peters, Xiaodong Cui, et al.
Process Safety and Environmental Protection (2024) Vol. 206, pp. 469-488
Closed Access | Times Cited: 3
Model predictive control of nonlinear processes using neural ordinary differential equation models
Junwei Luo, Fahim Abdullah, Panagiotis D. Christofides
Computers & Chemical Engineering (2023) Vol. 178, pp. 108367-108367
Closed Access | Times Cited: 8
Physics‐informed learning of chemical reactor systems using decoupling–coupling training framework
Zhi‐Yong Wu, Mingjian Li, Chang He, et al.
AIChE Journal (2024) Vol. 70, Iss. 7
Closed Access | Times Cited: 2
Digitalization of an experimental electrochemical reactor via the smart manufacturing innovation platform
Berkay Çıtmacı, Junwei Luo, Joonbaek Jang, et al.
Digital Chemical Engineering (2022) Vol. 5, pp. 100050-100050
Open Access | Times Cited: 8
A tutorial review of machine learning-based model predictive control methods
Zhe Wu, Panagiotis D. Christofides, Wanlu Wu, et al.
Reviews in Chemical Engineering (2024)
Open Access | Times Cited: 1
A Fractional-Order On-Line Self Optimizing Control Framework and a Benchmark Control System Accelerated Using Fractional-Order Stochasticity
Jairo Viola, YangQuan Chen
Fractal and Fractional (2022) Vol. 6, Iss. 10, pp. 549-549
Open Access | Times Cited: 5
Smart manufacturing inspired approach to research, development, and scale-up of electrified chemical manufacturing systems
Derek Richard, Joonbaek Jang, Berkay Çıtmacı, et al.
iScience (2023) Vol. 26, Iss. 6, pp. 106966-106966
Open Access | Times Cited: 2
Enhanced Concentration Control in Electrochemical Reactors Using Fuzzy Logic with Conventional PID and PI Controllers
Maha Nazar Ismael, Fatin H. Yahya
International Journal of Computational Methods and Experimental Measurements (2024) Vol. 12, Iss. 2, pp. 147-153
Open Access
Data-driven digitalization of an armfield UOP3CC distillation unit
Willy Araújo, Marcílio Máximo, Jailson Nicácio, et al.
Digital Chemical Engineering (2022) Vol. 6, pp. 100079-100079
Open Access | Times Cited: 1
Machine learning-based product concentration estimation, real-time optimization, and multivariable control of an experimental electrochemical reactor
Berkay Çıtmacı, Junwei Luo, Joonbaek Jang, et al.
Computer-aided chemical engineering/Computer aided chemical engineering (2023), pp. 1519-1524
Closed Access
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