Dae Won Lee

689 total citations
22 papers, 577 citations indexed

About

Dae Won Lee is a scholar working on Materials Chemistry, Catalysis and Surgery. According to data from OpenAlex, Dae Won Lee has authored 22 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 5 papers in Catalysis and 3 papers in Surgery. Recurrent topics in Dae Won Lee's work include Catalytic Processes in Materials Science (5 papers), Catalysis and Oxidation Reactions (5 papers) and Lignin and Wood Chemistry (2 papers). Dae Won Lee is often cited by papers focused on Catalytic Processes in Materials Science (5 papers), Catalysis and Oxidation Reactions (5 papers) and Lignin and Wood Chemistry (2 papers). Dae Won Lee collaborates with scholars based in South Korea, Ethiopia and United States. Dae Won Lee's co-authors include Kwan Young Lee, Kwan-Young Lee, Young Moo Park, Deog-Keun Kim, Seongmin Kim, Joon Yeob Lee, Dong Ju Moon, Ki Won Jun, Yong Hee Lee and Yong-Man Yu and has published in prestigious journals such as International Journal of Hydrogen Energy, International Journal of Cancer and Fuel.

In The Last Decade

Dae Won Lee

19 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae Won Lee South Korea 11 258 247 245 131 94 22 577
Abdul S. Mahomed South Africa 12 152 0.6× 180 0.7× 237 1.0× 233 1.8× 61 0.6× 36 543
Kamlesh Rudreshwar Balinge India 15 120 0.5× 177 0.7× 135 0.6× 67 0.5× 64 0.7× 30 533
Xiuli Liu China 10 93 0.4× 77 0.3× 84 0.3× 70 0.5× 66 0.7× 35 434
Hanyang Li China 11 125 0.5× 250 1.0× 67 0.3× 27 0.2× 44 0.5× 25 457
K. Chandra Mouli Canada 10 313 1.2× 184 0.7× 231 0.9× 41 0.3× 38 0.4× 21 434
Yuan Sun China 12 224 0.9× 147 0.6× 85 0.3× 27 0.2× 55 0.6× 28 503
Georgios Savoglidis Switzerland 8 104 0.4× 243 1.0× 136 0.6× 15 0.1× 167 1.8× 10 479
Natale Palmeri Italy 6 102 0.4× 157 0.6× 85 0.3× 87 0.7× 42 0.4× 6 277
Kana Yamamoto Japan 19 372 1.4× 72 0.3× 290 1.2× 47 0.4× 197 2.1× 43 1.1k
Ziqing Wang China 17 61 0.2× 140 0.6× 455 1.9× 477 3.6× 33 0.4× 42 814

Countries citing papers authored by Dae Won Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dae Won Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae Won Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Won Lee. A scholar is included among the top collaborators of Dae Won 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 Dae Won Lee. Dae Won 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.
2.
Lee, Dae Won, et al.. (2022). Phase Noise Compensation for 5G NR System with DFT-s-OFDM in the Presence of Timing Errors. ICC 2022 - IEEE International Conference on Communications. 2423–2428. 1 indexed citations
3.
4.
Shin, Sungho, Dae Won Lee, Yunhee Kim Kwon, et al.. (2021). Nasal Turbinate Mesenchymal Stromal Cells Preserve Characteristics of Their Neural Crest Origin and Exert Distinct Paracrine Activity. Journal of Clinical Medicine. 10(8). 1792–1792. 5 indexed citations
5.
Lee, Dae Won, et al.. (2019). Intelligent Resource Management Schemes for Systems, Services, and Applications of Cloud Computing Based on Artificial Intelligence. Journal of Information Processing Systems. 15(5). 1192–1200. 1 indexed citations
6.
Lee, Dae Won & Yoon Hee Choi. (2017). Spinal cord infarction mimicking ischemic heart disease. Clinical and Experimental Emergency Medicine. 4(2). 109–112. 2 indexed citations
7.
Lee, Dae Won, et al.. (2017). Performance Comparison of CRUD Operations in IoT based Big Data Computing. International Journal on Advanced Science Engineering and Information Technology. 7(5). 1765–1765. 3 indexed citations
8.
Lee, Dae Won, et al.. (2014). The catalytic activity of Sulfided Ni/W/TiO2 (anatase) for the hydrodeoxygenation of Guaiacol. Journal of Molecular Catalysis A Chemical. 392. 241–246. 29 indexed citations
9.
Kang, Soo Young & Dae Won Lee. (2014). Study on Improvement of Mechanical Properties after Heat Treatment of Hard Chromium Electrodeposits with Additives. Journal of the Korean institute of surface engineering. 47(3). 116–120. 2 indexed citations
10.
Kim, Seongmin, Dae Won Lee, & Kwan-Young Lee. (2014). Shape-dependent catalytic activity of palladium nanoparticles for the direct synthesis of hydrogen peroxide from hydrogen and oxygen. Journal of Molecular Catalysis A Chemical. 391. 48–54. 60 indexed citations
11.
Kim, Seongmin, Dae Won Lee, & Kwan-Young Lee. (2013). Direct synthesis of hydrogen peroxide from hydrogen and oxygen over single-crystal cubic palladium on silica catalysts. Journal of Molecular Catalysis A Chemical. 383-384. 64–69. 47 indexed citations
12.
Lee, Dae Won, et al.. (2013). Effects of a sodium carbonate (Na2CO3) additive on the conversion of phenethyl phenyl ether (PPE) in high-temperature water. Applied Catalysis A General. 472. 152–159. 14 indexed citations
13.
Kim, Jin Won, Seock‐Ah Im, Sunghoon Kim, et al.. (2013). Ataxia‐telangiectasia‐mutated protein expression with microsatellite instability in gastric cancer as prognostic marker. International Journal of Cancer. 134(1). 72–80. 37 indexed citations
14.
Lee, Joon Yeob, et al.. (2012). The effect of Zn addition into NiFe2O4 catalyst for high-temperature shift reaction of natural gas reformate assuming no external steam addition. International Journal of Hydrogen Energy. 37(15). 11218–11226. 53 indexed citations
15.
Park, Hye Jin, Dae Won Lee, & Jae Wook Lee. (2011). Implied Volatility Surface Estimation Using Transductive Gaussian Fields Regression. Key engineering materials. 467-469. 1781–1786. 1 indexed citations
16.
Lee, Joon Yeob, et al.. (2011). Cs-promoted Ni/Fe catalyst as a Cr-free, high temperature shift catalyst for steam methane reformate without additional supply of steam. Catalysis Communications. 15(1). 37–40. 35 indexed citations
17.
Lee, Dae Won, et al.. (2011). Oxidative coupling of methane using non-stoichiometric lead hydroxyapatite catalyst mixtures. Fuel. 94. 433–439. 28 indexed citations
18.
Yu, Il Je, et al.. (2005). Korean Initiative of GHS Activities. Industrial Health. 43(4). 709–711. 3 indexed citations
19.
Lee, Dae Won, et al.. (1999). The Comparative Assessment of Filtering Bleb by Timing of subconjunctival Injection of Mitomycin-C in Glaucoma Filtering Surgery.. Journal of the Korean Ophthalmological Society. 40(2). 513–522.
20.
Lee, Dae Won, et al.. (1998). Distribution, Serological Identification, and PCR Analysis of Bacillus thuringiensis Isolated from Soils of Korea. Current Microbiology. 37(3). 195–200. 20 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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