Sangwon Lee

1.1k total citations
18 papers, 853 citations indexed

About

Sangwon Lee is a scholar working on Materials Chemistry, Inorganic Chemistry and Mechanical Engineering. According to data from OpenAlex, Sangwon Lee has authored 18 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 10 papers in Inorganic Chemistry and 3 papers in Mechanical Engineering. Recurrent topics in Sangwon Lee's work include Metal-Organic Frameworks: Synthesis and Applications (9 papers), Machine Learning in Materials Science (6 papers) and Zeolite Catalysis and Synthesis (4 papers). Sangwon Lee is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (9 papers), Machine Learning in Materials Science (6 papers) and Zeolite Catalysis and Synthesis (4 papers). Sangwon Lee collaborates with scholars based in South Korea and United States. Sangwon Lee's co-authors include Jihan Kim, Baekjun Kim, Sanggyu Chong, Eun Seon Cho, Sarah Yunmi Lee, Hyun Cho, Junkil Park, Bong Lim Suh, Jaehoon Kim and Youhan Lee and has published in prestigious journals such as Chemistry of Materials, Analytical Chemistry and Langmuir.

In The Last Decade

Sangwon Lee

17 papers receiving 841 citations

Peers

Sangwon Lee

EEE

Baekjun Kim South Korea

Sean P. Collins Canada

Benjamin J. Bucior United States

Hyunsoo Park South Korea

Soonhyoung Kwon United States

Zach Jensen United States

Baichuan Sun Australia

Yuzhi Xu China

Dylan M. Anstine United States

Michaeel Kazi United States

Baekjun Kim South Korea

Sangwon Lee

511 ×0.9

381 ×0.8

98 ×0.7

56 ×0.5

EEE

60 ×0.6

Citations per year, relative to Sangwon Lee Sangwon Lee (= 1×) peers Baekjun Kim

Countries citing papers authored by Sangwon Lee

Since Specialization

Citations

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

Fields of papers citing papers by Sangwon Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sangwon 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 Sangwon Lee. The network helps show where Sangwon Lee may publish in the future.

Co-authorship network of co-authors of Sangwon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sangwon Lee. A scholar is included among the top collaborators of Sangwon 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 Sangwon Lee. Sangwon Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Lee, Sangwon, et al.. (2024). In Silico Generation of Chromium-Based MOFs with Abundant Active Sites for N₂/CH₄ Separation. The Journal of Physical Chemistry C. 128(18). 7690–7697.

Choi, Wonjun & Sangwon Lee. (2023). Interpretable deep learning model for load and temperature forecasting: Depending on encoding length, models may be cheating on wrong answers. Energy and Buildings. 297. 113410–113410. 2 indexed citations

Park, Junkil, et al.. (2022). Computational Design of Metal–Organic Frameworks with Unprecedented High Hydrogen Working Capacity and High Synthesizability. Chemistry of Materials. 35(1). 9–16. 35 indexed citations

Lee, Sangwon, Baekjun Kim, Hyun Cho, et al.. (2021). Computational Screening of Trillions of Metal–Organic Frameworks for High-Performance Methane Storage. ACS Applied Materials & Interfaces. 13(20). 23647–23654. 152 indexed citations

Park, Hyunsoo, Sangwon Lee, & Jihan Kim. (2021). Deep learning-based initial guess for minimum energy path calculations. Korean Journal of Chemical Engineering. 38(2). 406–410. 2 indexed citations

Park, Junkil, et al.. (2021). Finely tuned inverse design of metal–organic frameworks with user-desired Xe/Kr selectivity. Journal of Materials Chemistry A. 9(37). 21175–21183. 33 indexed citations

Lee, Sangwon, et al.. (2021). Machine learning-based discovery of molecules, crystals, and composites: A perspective review. Korean Journal of Chemical Engineering. 38(10). 1971–1982. 14 indexed citations

Lee, Sangwon, Jeong Hwa Park, Kang Taek Lee, & Young‐Wan Ju. (2021). Anodic properties of Ni-Fe bimetallic nanofiber for solid oxide fuel cell using LaGaO3 electrolyte. Journal of Alloys and Compounds. 875. 159911–159911. 11 indexed citations

Kim, Baekjun, Sangwon Lee, & Jihan Kim. (2020). Inverse design of porous materials using artificial neural networks. Science Advances. 6(1). eaax9324–eaax9324. 254 indexed citations

10.

Cho, Soo‐Yeon, Youhan Lee, Sangwon Lee, et al.. (2020). Finding Hidden Signals in Chemical Sensors Using Deep Learning. Analytical Chemistry. 92(9). 6529–6537. 59 indexed citations

11.

Lee, Sangwon, et al.. (2020). Isotherm parameter library and evaluation software for CO2 capture adsorbents. Computers & Chemical Engineering. 143. 107105–107105. 10 indexed citations

12.

Chong, Sanggyu, Sangwon Lee, Baekjun Kim, & Jihan Kim. (2020). Applications of machine learning in metal-organic frameworks. Coordination Chemistry Reviews. 423. 213487–213487. 165 indexed citations

13.

Lee, Sangwon, Baekjun Kim, & Jihan Kim. (2019). Predicting performance limits of methane gas storage in zeolites with an artificial neural network. Journal of Materials Chemistry A. 7(6). 2709–2716. 34 indexed citations

14.

Lee, Sangwon, et al.. (2019). Computational Analysis of Linker Defective Metal–Organic Frameworks for Membrane Separation Applications. Langmuir. 35(11). 3917–3924. 10 indexed citations

15.

Sim, Young Chul, et al.. (2017). Formation of a-plane facets in three-dimensional hexagonal GaN structures for photonic devices. Scientific Reports. 7(1). 9356–9356. 2 indexed citations

16.

Suh, Bong Lim, Sangwon Lee, & Jihan Kim. (2017). Size-Matching Ligand Insertion in MOF-74 for Enhanced CO₂ Capture under Humid Conditions. The Journal of Physical Chemistry C. 121(44). 24444–24451. 43 indexed citations

17.

Lee, Sangwon, et al.. (2015). A study on perforation prediction of metal targets by cylindrical tungsten penetrator. Journal of Mechanical Science and Technology. 29(1). 115–120. 3 indexed citations

18.

Hwang, Seok‐Ho, et al.. (2006). Synthesis and photophysical properties for fluorescent hexameric metallomacrocycles: Zinc(II)-mediated self-assembly of bis(terpyridine) ligands. Inorganica Chimica Acta. 360(5). 1780–1784. 24 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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