OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Data-driven robust optimization for minimum nitrogen oxide emission under process uncertainty
Minsu Kim, Sunghyun Cho, Kyojin Jang, et al.
Chemical Engineering Journal (2021) Vol. 428, pp. 130971-130971
Closed Access | Times Cited: 25

Showing 25 citing articles:

Design and Global Sensitivity Analysis of a Flexible Hydrogen Regasification Process Integrated with Liquid Air Energy Storage System
Yeonghyun Kim, Haneul Mun, Minsu Kim, et al.
Energy (2025), pp. 134533-134533
Closed Access | Times Cited: 1

Experimental study on the effect of fly ash with ammonium salt content on the properties of cemented paste backfill
Renlong Tang, Bingchao Zhao, Chao Li, et al.
Construction and Building Materials (2023) Vol. 369, pp. 130513-130513
Closed Access | Times Cited: 26

Multi-objective optimization for sustainable and economical polycarbonate production with reaction kinetics inference for real-world industrial process
Eunbyul Lee, Minsu Kim, Il Moon, et al.
Chemical Engineering Journal (2024) Vol. 490, pp. 151484-151484
Closed Access | Times Cited: 6

Integration of wastewater electro-electrodialysis and CO2 capture for sustainable LIB recycling: Process design and economic analyses
Jeongdong Kim, Il Moon, Junghwan Kim
Journal of Cleaner Production (2023) Vol. 391, pp. 136241-136241
Closed Access | Times Cited: 15

Revealing the impact of renewable uncertainty on grid-assisted power-to-X: A data-driven reliability-based design optimization approach
Jeongdong Kim, Meng Qi, Jin‐Woo Park, et al.
Applied Energy (2023) Vol. 339, pp. 121015-121015
Closed Access | Times Cited: 13

Improvements of Particle Filter Optimization algorithm for robust optimization under different types of uncertainties
Éva Kenyeres, Alex Kummer, János Abonyi
Heliyon (2025) Vol. 11, Iss. 1, pp. e41573-e41573
Open Access

Metal Dimers‐Doped h‐BN Structures as Novel Toxic Gases Sensors With Enhanced Sensitivity Properties: An ADFT Study
H. Cruz‐Martínez, H. Rojas‐Chávez, Lidia Santiago-Silva, et al.
Journal of Computational Chemistry (2025) Vol. 46, Iss. 5
Open Access

Propagating input uncertainties into parameter uncertainties and model prediction uncertainties—A review
Kaveh Abdi, Benoît Celse, Kimberley B. McAuley
The Canadian Journal of Chemical Engineering (2023) Vol. 102, Iss. 1, pp. 254-273
Open Access | Times Cited: 11

Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning
Sunghyun Cho, Minsu Kim, Jaewon Lee, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105463-105463
Closed Access | Times Cited: 15

Multi-objective robust optimization of profit for a naphtha cracking furnace considering uncertainties in the feed composition
Jeongdong Kim, Chonghyo Joo, Minsu Kim, et al.
Expert Systems with Applications (2022) Vol. 216, pp. 119464-119464
Closed Access | Times Cited: 12

Promoted catalytic property of Cu/SSZ-13 by introducing a minority of Mn for NO removal from diesel engine exhaust
Runnong Yang, Wuyuan Liu, Zhaoying Wang, et al.
Chinese Journal of Chemical Engineering (2024) Vol. 71, pp. 172-182
Closed Access | Times Cited: 2

Parameter estimation and prediction uncertainties for multi‐response kinetic models with uncertain inputs
Kaveh Abdi, Benoît Celse, Kimberley B. McAuley
AIChE Journal (2023) Vol. 69, Iss. 6
Open Access | Times Cited: 5

Modified Hybrid Strategy Integrating Online Adjustable Oil Property Characterization and Data-Driven Robust Optimization under Uncertainty: Application in Gasoline Blending
Jian Long, Siyi Jiang, Tianbo Liu, et al.
Energy & Fuels (2022) Vol. 36, Iss. 12, pp. 6581-6596
Closed Access | Times Cited: 9

Fast Charging of Lithium-Ion Batteries While Accounting for Degradation and Cell-to-Cell Variability
Minsu Kim, Joachim Schaeffer, Marc D. Berliner, et al.
Journal of The Electrochemical Society (2024) Vol. 171, Iss. 9, pp. 090517-090517
Open Access | Times Cited: 1

Data-driven robust optimization for cyclic scheduling of ethylene cracking furnace system under uncertainty based on kernel learning
Xinwei Lin, Liang Zhao, Chao Shang, et al.
Chemical Engineering Science (2022) Vol. 260, pp. 117919-117919
Closed Access | Times Cited: 5

A bilevel data-driven framework for robust optimization under uncertainty – applied to fluid catalytic cracking unit
Tianyue Li, Jian Long, Liang Zhao, et al.
Computers & Chemical Engineering (2022) Vol. 166, pp. 107989-107989
Closed Access | Times Cited: 4

Multi-objective robust optimization design framework for low-pollution emission burners
Guihua Hu, Qingfeng Tao, Rui Ying, et al.
Process Safety and Environmental Protection (2024) Vol. 210, pp. 180-189
Closed Access

Discovering deposition process regimes: Leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis
Geremy Loachamín Suntaxi, Paris Papavasileiou, Eleni D. Koronaki, et al.
Chemical Engineering Journal Advances (2024), pp. 100667-100667
Open Access

Distributionally Robust Model and Metaheuristic Frame for Liner Ships Fleet Deployment
Mihaela Bukljaš Skočibušić, Kristijan Rogić, Vladimir Jerebić
Sustainability (2022) Vol. 14, Iss. 9, pp. 5551-5551
Open Access | Times Cited: 2

Uncertainty analysis of NOx and CO emissions in industrial ethylene cracking furnace using high-precision sparse polynomial chaos expansion
Guihua Hu, Linghong Xu, Liang Zhao, et al.
Combustion Science and Technology (2022) Vol. 196, Iss. 2, pp. 195-222
Closed Access | Times Cited: 1

Families of similar surrogate forms based on predictive accuracy and model complexity
Maaz Bin Ahmad, Iftekhar A. Karimi
Computers & Chemical Engineering (2022) Vol. 163, pp. 107845-107845
Closed Access

Machine Learning-Based Profit Optimization for a Furnace in Naphtha Cracking Center with Uncertainties in the Feed Composition
Jeongdong Kim, Hyungtae Cho, Minsu Kim, et al.
SSRN Electronic Journal (2022)
Closed Access

Page 1

Scroll to top