Jay H. Lee

19.9k total citations · 4 hit papers
414 papers, 14.4k citations indexed

About

Jay H. Lee is a scholar working on Control and Systems Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Jay H. Lee has authored 414 papers receiving a total of 14.4k indexed citations (citations by other indexed papers that have themselves been cited), including 226 papers in Control and Systems Engineering, 81 papers in Mechanical Engineering and 76 papers in Biomedical Engineering. Recurrent topics in Jay H. Lee's work include Advanced Control Systems Optimization (155 papers), Fault Detection and Control Systems (112 papers) and Control Systems and Identification (78 papers). Jay H. Lee is often cited by papers focused on Advanced Control Systems Optimization (155 papers), Fault Detection and Control Systems (112 papers) and Control Systems and Identification (78 papers). Jay H. Lee collaborates with scholars based in South Korea, United States and Denmark. Jay H. Lee's co-authors include Manfred Morari, Matthew J. Realff, Kwang‐Sik Lee, James B. Rawlings, N.L. Ricker, Andreas S. Bommarius, Mélanie Hall, Joohyun Shin, Seongmin Heo and Zhenghong Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy & Environmental Science and Renewable and Sustainable Energy Reviews.

In The Last Decade

Jay H. Lee

394 papers receiving 13.7k citations

Hit Papers

Model predictive control: past, present and future 1999 2026 2008 2017 1999 2011 2001 2021 500 1000 1.5k

Peers

Jay H. Lee
Feng Qian China
Moonyong Lee South Korea
ChangKyoo Yoo South Korea
Thomas F. Edgar United States
M.A. Hussain Malaysia
Jay H. Lee
Citations per year, relative to Jay H. Lee Jay H. Lee (= 1×) peers Panagiotis D. Christofides

Countries citing papers authored by Jay H. Lee

Since Specialization
Citations

This map shows the geographic impact of Jay H. Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jay H. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay H. Lee more than expected).

Fields of papers citing papers by Jay H. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay H. Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jay H. Lee. The network helps show where Jay H. Lee may publish in the future.

Co-authorship network of co-authors of Jay H. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jay H. Lee. A scholar is included among the top collaborators of Jay H. Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jay H. Lee. Jay H. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jamal, Aqil, et al.. (2025). Exploring the impact of hourly variability of air condition on the efficiency of direct air capture. Chemical Engineering Journal. 508. 160840–160840. 5 indexed citations
2.
Park, Joungho, et al.. (2025). Strategies for achieving a techno-economic threshold of 1 USD/kg for green hydrogen. Chemical Engineering Journal. 521. 167069–167069. 1 indexed citations
3.
Park, Joungho, et al.. (2024). Enhancing the economic viability and reliability of renewables based electricity supply through Power-to-Gas-to-Power with green hydrogen. Energy Conversion and Management. 310. 118485–118485. 20 indexed citations
4.
Lee, Jay H., et al.. (2024). Bayesian optimization for quick determination of operating variables of simulated moving bed chromatography. Computers & Chemical Engineering. 192. 108872–108872. 1 indexed citations
5.
Park, Joungho, et al.. (2024). Optimizing green hydrogen systems: Balancing economic viability and reliability in the face of supply-demand volatility. Applied Energy. 368. 123492–123492. 22 indexed citations
6.
Kim, Sunwoo, Joungho Park, SungKu Heo, & Jay H. Lee. (2024). Green hydrogen vs green ammonia: A hierarchical optimization-based integrated temporal approach for comparative techno-economic analysis of international supply chains. Journal of Cleaner Production. 465. 142750–142750. 16 indexed citations
7.
Lee, Jay H., et al.. (2024). Optimizing economic feasibility of CO2 capture processes with rotating packed bed (RPB): Strategies for scale and modularization. Journal of Cleaner Production. 479. 143998–143998. 11 indexed citations
8.
Lee, Jay H., et al.. (2023). Flexible operation of Post-combustion CO2 capture process enabled by NARX-MPC using neural network. Computers & Chemical Engineering. 179. 108447–108447. 3 indexed citations
9.
Bae, Sungjin, Boram Gu, & Jay H. Lee. (2023). A 3D CFD study on the effects of feed spacer designs on membrane performance for high-permeance RO membranes. Journal of Water Process Engineering. 53. 103887–103887. 7 indexed citations
10.
Lee, Jae‐Wook & Jay H. Lee. (2023). Simultaneous Feature Extraction of Intra- and Inter-Cycle Changes for Knee Point Prediction of Lithium Ion Batteries. IFAC-PapersOnLine. 56(2). 4639–4644. 1 indexed citations
11.
Daoutidis, Pródromos, Jay H. Lee, Srinivas Rangarajan, et al.. (2023). Machine learning in process systems engineering: Challenges and opportunities. Computers & Chemical Engineering. 181. 108523–108523. 47 indexed citations
12.
Kim, Sunwoo & Jay H. Lee. (2023). Multi-period design of hybrid microgrid under multi-timescale uncertainties. IFAC-PapersOnLine. 56(2). 1449–1453.
13.
Kim, Sunwoo, et al.. (2023). Techno-economic analysis for design and management of international green hydrogen supply chain under uncertainty: An integrated temporal planning approach. Energy Conversion and Management. 301. 118010–118010. 30 indexed citations
15.
Kim, Jae‐Hoon, Gyoung Hwa Jeong, Sang Ouk Kim, et al.. (2023). Design principles for selective and economical CO2 electrolysis in acids. Applied Catalysis B: Environmental. 339. 123160–123160. 28 indexed citations
16.
Chung, Won‐Suk, et al.. (2023). Identification of sustainable carbon capture and utilization (CCU) pathways using state-task network representation. Computers & Chemical Engineering. 178. 108408–108408. 8 indexed citations
17.
Lee, Jay H., et al.. (2023). Development and evaluation of FINEX off-gas capture and utilization processes for sustainable steelmaking industry. International journal of greenhouse gas control. 127. 103936–103936. 10 indexed citations
18.
Müller, Leonard Jan, Arne Kätelhön, Stefan Bringezu, et al.. (2020). The carbon footprint of the carbon feedstock CO2. Energy & Environmental Science. 13(9). 2979–2992. 152 indexed citations
19.
Heo, Seongmin, et al.. (2020). Three-stage design of high-resolution microalgae-based biofuel supply chain using geographic information system. Applied Energy. 265. 114773–114773. 41 indexed citations
20.
Realff, Matthew J., et al.. (2014). Two stage stochastic bilevel programming model of a pre-established timberlands supply chain with biorefinery investment interests. Computers & Chemical Engineering. 73. 141–153. 32 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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