Kwangseok Do

11 total papers · 646 total citations
10 papers, 588 citations indexed

About

Kwangseok Do is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Kwangseok Do has authored 10 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Polymers and Plastics, 6 papers in Electrical and Electronic Engineering and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Kwangseok Do's work include Conducting polymers and applications (7 papers), TiO2 Photocatalysis and Solar Cells (6 papers) and Organic Electronics and Photovoltaics (4 papers). Kwangseok Do is often cited by papers focused on Conducting polymers and applications (7 papers), TiO2 Photocatalysis and Solar Cells (6 papers) and Organic Electronics and Photovoltaics (4 papers). Kwangseok Do collaborates with scholars based in South Korea, India and United States. Kwangseok Do's co-authors include Jaejung Ko, Hyeju Choi, Sang Soo Jeon, Tae Hyun Lee, Seung Soon Im, Young Woo Lee, Mohammad Khaja Nazeeruddin, Kimin Lim, Hyun-Jun Jo and Jin Woo Cho and has published in prestigious journals such as Chemical Communications, Journal of Materials Chemistry and The Journal of Physical Chemistry C.

In The Last Decade

Kwangseok Do

10 papers receiving 582 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kwangseok Do	315	280	267	264	43	10	588
Jieming Zhen	392 1.2×	239 0.9×	91 0.3×	286 1.1×	27 0.6×	10	498
Su‐Hao Liu	391 1.2×	144 0.5×	176 0.7×	280 1.1×	37 0.9×	12	642
Tiphaine Bourgeteau	377 1.2×	99 0.4×	384 1.4×	260 1.0×	29 0.7×	11	575
Cristina Rodríguez‐Seco	472 1.5×	337 1.2×	92 0.3×	222 0.8×	25 0.6×	19	609
Floriana Moruzzi	330 1.0×	135 0.5×	403 1.5×	398 1.5×	25 0.6×	8	641
Jongmin Roh	327 1.0×	138 0.5×	109 0.4×	349 1.3×	31 0.7×	10	505
Ishanie Rangeeka Perera	180 0.6×	92 0.3×	479 1.8×	408 1.5×	37 0.9×	12	638
Rishi Shivhare	218 0.7×	141 0.5×	134 0.5×	443 1.7×	31 0.7×	12	623
Chi‐Yen Lin	409 1.3×	279 1.0×	115 0.4×	286 1.1×	26 0.6×	17	629
Qianwen Lu	453 1.4×	264 0.9×	109 0.4×	288 1.1×	25 0.6×	8	609

Countries citing papers authored by Kwangseok Do

Since Specialization

Citations

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

Fields of papers citing papers by Kwangseok Do

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kwangseok Do

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

All Works

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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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