Dae Won Cho

3.7k citations
113 papers · 3.3k · h-index 32

Impact in

Papers in

Dae Won Cho

113 papers receiving 3.3k citations

Peers

Dae Won Cho
Comparison fields: 5 of 81
  • Physical and Theoretical Chemistry 772
  • Materials Chemistry 2.1k
  • Organic Chemistry 966
  • Renewable Energy, Sustainability and the Environment 391
  • Spectroscopy 391
Replace Giampaolo Ricciardi with:
Giampaolo Ricciardi Italy
Marı́a Teresa Indelli Italy
Dominique Roberto Italy
William B. Connick United States
Ines Raabe Germany
Suresh Das India
Marie P. Cifuentes Australia
Wai Han Lam Hong Kong
Casey R. Wade United States
Youngkyu Do South Korea
Dae Won Cho relative to Giampaolo Ricciardi Italy Giampaolo Ricciardi's profile →
Citations per field
00.5×
Giampaolo Ricciardi · 1×
Citations per year

Countries citing papers authored by Dae Won Cho

Since Specialization
Citations

This map shows the geographic impact of Dae Won Cho'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 Cho 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 Cho more than expected).

Fields of papers citing papers by Dae Won Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dae Won Cho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dae Won Cho Line = papers co-authored together Dae Won Cho links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012231
2 2012165
3 2005143
4 1996132
5 201185
6 201577
7 201674
8 201069
9 200768
10 201467
11 200967
12 201267
13 200665
14 200963
15 199660
16 201658
17 200656
18 199454
19 201352
20 201749

About Dae Won Cho

Dae Won Cho is a scholar working on Materials Chemistry, Physical and Theoretical Chemistry, Electrical and Electronic Engineering, Organic Chemistry and Molecular Biology, having authored 113 papers that have together received 3.3k indexed citations. Recurring topics across this work include Photochemistry and Electron Transfer Studies (43 papers), Luminescence and Fluorescent Materials (38 papers), Porphyrin and Phthalocyanine Chemistry (35 papers), Organic Light-Emitting Diodes Research (30 papers), Advanced Photocatalysis Techniques (12 papers), Organic Electronics and Photovoltaics (11 papers), Conducting polymers and applications (11 papers) and TiO2 Photocatalysis and Solar Cells (11 papers). The work is most often cited by research in Physical and Theoretical Chemistry (772 citations), Materials Chemistry (2.1k citations), Organic Chemistry (966 citations), Renewable Energy, Sustainability and the Environment (391 citations) and Spectroscopy (391 citations). Dae Won Cho has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Sang Ook Kang, Ho‐Jin Son, Tetsuro Majima, Mamoru Fujitsuka, Won‐Sik Han, Dongho Kim, Yang‐Jin Cho, Minjoong Yoon, Kyung‐Ryang Wee and So‐Yoen Kim. Their work appears in journals such as Physical Chemistry Chemical Physics, The Journal of Physical Chemistry A, Journal of Photochemistry and Photobiology A Chemistry, The Journal of Physical Chemistry B and Inorganic Chemistry.

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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