Daeun Kim

866 citations
53 papers · 619 · h-index 14

Impact in

Papers in

Daeun Kim

47 papers receiving 608 citations

Peers

Daeun Kim
Comparison fields: 5 of 106
  • Radiology, Nuclear Medicine and Imaging 196
  • Computational Mathematics 5
  • Polymers and Plastics 59
  • Biomedical Engineering 159
  • Nuclear and High Energy Physics 43
Replace Yifan Huang with:
Yifan Huang China
Ziqi Zhou China
Mohammad Amin Hosseini Iran
Goran B. Poparić Serbia
Dong Yang China
Alexey Efimov Russia
Tomi Smausz Hungary
Wen Shi China
T. Smausz Hungary
Daeun Kim relative to Yifan Huang China Yifan Huang's profile →
Citations per field
00.5×5.4×
Yifan Huang · 1×
Citations per year

Countries citing papers authored by Daeun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Daeun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daeun Kim, 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 Daeun Kim Line = papers co-authored together Daeun Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201789
2 202158
3 202048
4 201047
5 201836
6 201434
7 202125
8 202023
9 201622
10 202319
11 201419
12 202116
13 201616
14 201514
15 201813
16 202013
17 202010
18 202310
19 20189
20 20228

About Daeun Kim

Daeun Kim is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Electronic, Optical and Magnetic Materials and Polymers and Plastics, having authored 53 papers that have together received 619 indexed citations. Recurring topics across this work include Advancements in Battery Materials (11 papers), Supercapacitor Materials and Fabrication (9 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Advanced MRI Techniques and Applications (8 papers), Conducting polymers and applications (7 papers), Advanced Battery Materials and Technologies (7 papers) and NMR spectroscopy and applications (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (196 citations), Computational Mathematics (5 citations), Polymers and Plastics (59 citations), Biomedical Engineering (159 citations) and Nuclear and High Energy Physics (43 citations). Daeun Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Justin P. Haldar, Jessica L. Wisnowski, Xuejun Pan, Joong Hee Kim, Minha Choi, Songhun Yoon, Youn Tae Kim, Jiwon Park, Xinyu Liu and Jinxia Liu. Their work appears in journals such as Magnetic Resonance in Medicine, Electronic Materials Letters, Smart Materials and Structures, Organic Letters and Nano Letters.

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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