Sang Hwan Son

569 total citations
33 papers, 402 citations indexed

About

Sang Hwan Son is a scholar working on Control and Systems Engineering, Mechanical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Sang Hwan Son has authored 33 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 6 papers in Mechanical Engineering and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Sang Hwan Son's work include Advanced Control Systems Optimization (12 papers), Model Reduction and Neural Networks (5 papers) and Fault Detection and Control Systems (4 papers). Sang Hwan Son is often cited by papers focused on Advanced Control Systems Optimization (12 papers), Model Reduction and Neural Networks (5 papers) and Fault Detection and Control Systems (4 papers). Sang Hwan Son collaborates with scholars based in South Korea, United States and Germany. Sang Hwan Son's co-authors include Joseph Sang‐Il Kwon, Hyun‐Kyu Choi, Jong Min Lee, Abhinav Narasingam, Jong Woo Kim, Jiyoung Moon, Dong Hwi Jeong, Byung Jun Park, Jungho Jae and Jung Rae Kim and has published in prestigious journals such as Journal of Power Sources, Bioresource Technology and Chemical Engineering Journal.

In The Last Decade

Sang Hwan Son

30 papers receiving 393 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sang Hwan Son South Korea 13 206 100 66 47 39 33 402
Hyun‐Kyu Choi United States 11 116 0.6× 69 0.7× 141 2.1× 46 1.0× 34 0.9× 23 402
Jiahang Liu China 9 137 0.7× 51 0.5× 45 0.7× 27 0.6× 8 0.2× 22 324
Mariusz Markowski Poland 13 263 1.3× 21 0.2× 72 1.1× 166 3.5× 7 0.2× 37 478
Juan Yu China 12 80 0.4× 15 0.1× 39 0.6× 39 0.8× 23 0.6× 36 552
Erdal Aydın Türkiye 12 148 0.7× 22 0.2× 22 0.3× 45 1.0× 11 0.3× 23 332
S. J. Pugh United Kingdom 11 212 1.0× 23 0.2× 112 1.7× 205 4.4× 8 0.2× 27 602
D. Juárez-Romero Mexico 14 96 0.5× 144 1.4× 62 0.9× 392 8.3× 3 0.1× 56 572
Marco Sanjuán Colombia 13 149 0.7× 10 0.1× 77 1.2× 115 2.4× 23 0.6× 59 476
G. McCullough United Kingdom 10 115 0.6× 24 0.2× 32 0.5× 179 3.8× 22 0.6× 33 362
Katarzyna Bizon Poland 11 54 0.3× 80 0.8× 80 1.2× 118 2.5× 22 0.6× 55 448

Countries citing papers authored by Sang Hwan Son

Since Specialization
Citations

This map shows the geographic impact of Sang Hwan Son'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 Sang Hwan Son with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang Hwan Son more than expected).

Fields of papers citing papers by Sang Hwan Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang Hwan Son. 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 Sang Hwan Son. The network helps show where Sang Hwan Son may publish in the future.

Co-authorship network of co-authors of Sang Hwan Son

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Hwan Son. A scholar is included among the top collaborators of Sang Hwan Son 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 Sang Hwan Son. Sang Hwan Son 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.
Kim, Min‐Soo, H.K. Lee, Hyoung−il Kim, et al.. (2025). Fundamental modeling of microbial electrosynthesis system using porous electrodes for CO2-to-acetate conversion. Bioresource Technology. 424. 132154–132154. 1 indexed citations
2.
3.
Kim, Min Kyoung, et al.. (2025). Investigation of the electrochemical CO2 reduction reaction under biocompatible conditions: Toward the chem-bio integration approach. Journal of environmental chemical engineering. 13(5). 118570–118570.
4.
5.
6.
Kumar, Paskalis Sahaya Murphin, Haein Cho, Sang Hwan Son, et al.. (2025). Biomass-derived carbon for solar H2O2 production: Current trends and future directions. Materials Today Energy. 49. 101840–101840. 3 indexed citations
7.
Lee, H.K., et al.. (2025). Fundamental modeling of a multistage fluidized bed reactor for hydrogen-based iron ore reduction. Chemical Engineering Journal. 511. 161755–161755. 1 indexed citations
8.
Lee, Su‐Yeon, et al.. (2025). Unsteady-state coupled firebox-reactor modeling of a naphtha pyrolysis furnace considering CO2 emission and coke formation. Process Safety and Environmental Protection. 198. 107124–107124.
9.
Song, Young Eun, et al.. (2025). Selective enrichment of electrode-associated cells enhances CO2 conversion to acetate in microbial electrosynthesis cells. Fuel. 401. 135832–135832. 1 indexed citations
10.
Kim, Min‐Soo, Shuwei Li, Young Eun Song, et al.. (2024). Electrodeposited polyaniline on graphite felt (PANI/GF) improves start-up time and acetate productivity of microbial electrosynthesis cell. Journal of Power Sources. 612. 234776–234776. 7 indexed citations
11.
Haider, Zeeshan, Siva Kumar Krishnan, Thamaraiselvi Kanagaraj, et al.. (2024). Oxygen-enriched carbon quantum dots from coffee waste: Extremely active organic photocatalyst for sustainable solar-to-H2O2 conversion. Chemosphere. 361. 142330–142330. 14 indexed citations
12.
Li, Shuwei, Young Eun Song, Sang Hwan Son, et al.. (2023). Housing of electrosynthetic biofilms using a roll-up carbon veil electrode increases CO2 conversion and faradaic efficiency in microbial electrosynthesis cells. Bioresource Technology. 393. 130157–130157. 8 indexed citations
13.
Son, Sang Hwan, et al.. (2022). Learning of model-plant mismatch map via neural network modeling and its application to offset-free model predictive control. Journal of Process Control. 115. 112–122. 16 indexed citations
14.
Kim, Jong Woo, et al.. (2022). Multi-strategy control to extend the feasibility region for robust model predictive control. Journal of Process Control. 116. 25–33. 5 indexed citations
15.
Kim, Jong Woo, et al.. (2021). Automatic control of simulated moving bed process with deep Q-network. Journal of Chromatography A. 1647. 462073–462073. 25 indexed citations
16.
Son, Sang Hwan, et al.. (2021). A closed-loop integration of scheduling and control for hydraulic fracturing using offset-free model predictive control. Applied Energy. 302. 117487–117487. 12 indexed citations
17.
Son, Sang Hwan, Abhinav Narasingam, & Joseph Sang‐Il Kwon. (2021). Integration of offset-free control framework with Koopman Lyapunov-based model predictive control. 2818–2823. 2 indexed citations
18.
Kim, Jong Woo, et al.. (2020). Convergence analysis of the deep neural networks based globalized dual heuristic programming. Automatica. 122. 109222–109222. 11 indexed citations
19.
Son, Sang Hwan, Hyun‐Kyu Choi, & Joseph Sang‐Il Kwon. (2020). Multiscale modeling and control of pulp digester under fiber-to-fiber heterogeneity. Computers & Chemical Engineering. 143. 107117–107117. 37 indexed citations
20.
Son, Sang Hwan, et al.. (2018). Application of Dividing Wall Column in Silane Off-Gas Recovery Process: Optimal Design and Control. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 51(3). 253–263. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hyun‐Kyu Choi Breakdown of academic impact, for papers by Jiahang Liu Breakdown of academic impact, for papers by Mariusz Markowski Breakdown of academic impact, for papers by Juan Yu Breakdown of academic impact, for papers by Erdal Aydın Breakdown of academic impact, for papers by S. J. Pugh Breakdown of academic impact, for papers by D. Juárez-Romero Breakdown of academic impact, for papers by Marco Sanjuán Breakdown of academic impact, for papers by G. McCullough Breakdown of academic impact, for papers by Katarzyna Bizon
Rankless by CCL
2026