Dong Un Lim
Impact in
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- Conducting polymers and applications
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- Advanced Memory and Neural Computing
- Perovskite Materials and Applications
- Organic Electronics and Photovoltaics
Papers in
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- Advanced Memory and Neural Computing 6
- Organic Electronics and Photovoltaics 4
- Ferroelectric and Negative Capacitance Devices 2
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- Conducting polymers and applications 5
- Co-authors
- Jeong Ho Cho (11 shared papers)Joohoon Kang (5 shared papers)Sae Byeok Jo (5 shared papers)Jihyun Kim (3 shared papers)Dongjoon Rhee (3 shared papers)In Soo Kim (2 shared papers)Seongchan Kim (3 shared papers)Zdeněk Sofer (1 shared paper)
- Journals
- Advanced Functional Materials (3 papers)Advanced Materials (3 papers)ACS Nano (2 papers)Nano Letters (2 papers)Carbon (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Dong Un Lim
13 papers receiving 336 citations
Peers
Comparison fields: 5 of 28
- Polymers and Plastics 79
- Electrical and Electronic Engineering 228
- Materials Chemistry 172
- Biomedical Engineering 95
- Cellular and Molecular Neuroscience 24
Countries citing papers authored by Dong Un Lim
This map shows the geographic impact of Dong Un Lim'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 Dong Un Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Un Lim more than expected).
Fields of papers citing papers by Dong Un Lim
This network shows the impact of papers produced by Dong Un Lim. 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 Dong Un Lim. The network helps show where Dong Un Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong Un Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 94 | |
| 2 | 2021 | 51 | |
| 3 | 2021 | 26 | |
| 4 | 2022 | 23 | |
| 5 | 2017 | 21 | |
| 6 | 2023 | 19 | |
| 7 | 2019 | 19 | |
| 8 | 2020 | 19 | |
| 9 | 2023 | 17 | |
| 10 | 2020 | 17 | |
| 11 | 2024 | 15 | |
| 12 | 2021 | 11 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 0 |
About Dong Un Lim
Dong Un Lim is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Biomedical Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 14 papers that have together received 338 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Conducting polymers and applications (5 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Organic Electronics and Photovoltaics (4 papers), 2D Materials and Applications (3 papers), Graphene research and applications (3 papers), Ferroelectric and Negative Capacitance Devices (2 papers) and MXene and MAX Phase Materials (2 papers). The work is most often cited by research in Polymers and Plastics (79 citations), Electrical and Electronic Engineering (228 citations), Materials Chemistry (172 citations), Biomedical Engineering (95 citations) and Cellular and Molecular Neuroscience (24 citations). Dong Un Lim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jeong Ho Cho, Joohoon Kang, Sae Byeok Jo, Jihyun Kim, Dongjoon Rhee, In Soo Kim, Seongchan Kim, Zdeněk Sofer, Yong Hyun Kwon and Vlastimil Mazánek. Their work appears in journals such as Advanced Functional Materials, Advanced Materials, ACS Nano, Nano Letters and Carbon.
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.