Wonjae Kim

1.5k citations
40 papers · 667 · h-index 12

Impact in

Papers in

Wonjae Kim

34 papers receiving 642 citations

Peers

Wonjae Kim
Comparison fields: 5 of 67
  • Materials Chemistry 476
  • Electrical and Electronic Engineering 370
  • Atomic and Molecular Physics, and Optics 150
  • Biomedical Engineering 152
  • Electronic, Optical and Magnetic Materials 63
Replace Tengfei Yan with:
Tengfei Yan China
Zhijian Lv China
E. G. Barbagiovanni Italy
Bingqing Luo China
Jingda Wu Canada
Weijun Li China
Byung-Ryool Hyun China
Yueting Zheng China
Dongyoung Kim United Kingdom
Young-Joo Kim South Korea
Wonjae Kim relative to Tengfei Yan China Tengfei Yan's profile →
Citations per field
00.5×1.5×
Tengfei Yan · 1×
Citations per year

Countries citing papers authored by Wonjae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Wonjae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018120
2 2019103
3 201697
4 201373
5 201736
6 201328
7 201527
8 201826
9 202121
10 201216
11 201715
12 202212
13 202010
14 201810
15 202410
16 201510
17 20136
18 20096
19 20145
20 20205

About Wonjae Kim

Wonjae Kim is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 40 papers that have together received 667 indexed citations. Recurring topics across this work include Graphene research and applications (13 papers), Quantum and electron transport phenomena (5 papers), 2D Materials and Applications (5 papers), Graphene and Nanomaterials Applications (4 papers), Multilevel Inverters and Converters (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Perovskite Materials and Applications (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Materials Chemistry (476 citations), Electrical and Electronic Engineering (370 citations), Atomic and Molecular Physics, and Optics (150 citations), Biomedical Engineering (152 citations) and Electronic, Optical and Magnetic Materials (63 citations). Wonjae Kim has collaborated with scholars based in Finland, South Korea and Spain. Frequent co-authors include Harri Lipsanen, Juha Riikonen, Mei Qi, Hui Xue, K. Halonen, Yunyun Dai, David Jiménez, Changfeng Li, Jannatul Susoma and Yadong Wang. Their work appears in journals such as Nanotechnology, 2D Materials, ACS Nano, Applied Surface Science and IEEE Access.

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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