Wonjae Kim

1.6k citations
44 papers · 723 · h-index 13

Impact in

Papers in

Wonjae Kim

38 papers receiving 701 citations

Peers

Wonjae Kim
Comparison fields: 5 of 63
  • Materials Chemistry 491
  • Electrical and Electronic Engineering 383
  • Atomic and Molecular Physics, and Optics 154
  • Biomedical Engineering 160
  • Electronic, Optical and Magnetic Materials 64
Replace Tengfei Yan with:
Tengfei Yan China
Doeon Lee United States
Jingda Wu Canada
Dongyoung Kim United Kingdom
Fanjie Wang China
Yuan‐Ming Chang Taiwan
Bong Ho Kim South Korea
Chih‐Wei Chen Taiwan
Peisong Wu China
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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018124
2 2019108
3 201698
4 201376
5 201737
6 201330
7 201530
8 201826
9 202123
10 201717
11 202417
12 201216
13 202213
14 201511
15 202211
16 202011
17 201810
18 20096
19 20136
20 20205

About Wonjae Kim

Wonjae Kim is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, having authored 44 papers that have together received 723 indexed citations. Recurring topics across this work include Graphene research and applications (13 papers), 2D Materials and Applications (5 papers), Multimodal Machine Learning Applications (5 papers), Quantum and electron transport phenomena (5 papers), Multilevel Inverters and Converters (4 papers), Graphene and Nanomaterials Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Nanowire Synthesis and Applications (3 papers). The work is most often cited by research in Materials Chemistry (491 citations), Electrical and Electronic Engineering (383 citations), Atomic and Molecular Physics, and Optics (154 citations), Biomedical Engineering (160 citations) and Electronic, Optical and Magnetic Materials (64 citations). Wonjae Kim has collaborated with scholars based in Finland, South Korea and Spain. Frequent co-authors include Harri Lipsanen, Juha Riikonen, Hui Xue, Mei Qi, Changfeng Li, Yadong Wang, K. Halonen, Yunyun Dai, David Jiménez and Jannatul Susoma. Their work appears in journals such as Nanotechnology, 2D Materials, ACS Nano, Carbon and Advanced Materials.

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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