Hanul Kim

1.8k citations
62 papers · 1.4k · h-index 21

Impact in

Papers in

    • Nanomaterials and Printing Technologies 4
    • Perovskite Materials and Applications 4
    • Gas Sensing Nanomaterials and Sensors 4
    • 2D Materials and Applications 17
    • Graphene research and applications 11
    • MXene and MAX Phase Materials 10

Hanul Kim

55 papers receiving 1.4k citations

Peers

Hanul Kim
Comparison fields: 5 of 118
  • Biomedical Engineering 465
  • Polymers and Plastics 149
  • Materials Chemistry 483
  • Computer Vision and Pattern Recognition 187
  • Electrical and Electronic Engineering 485
Replace Di Zhu with:
Di Zhu China
Liming Zhang China
Hailong Liu China
Hao Tang China
Fredrik Forsberg Sweden
Yangyang Li China
Kai Chen China
Yuting Jiang China
Marta Klanjšek Gunde Slovenia
Hanul Kim relative to Di Zhu China Di Zhu's profile →
Citations per field
00.5×3.1×
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Citations per year

Countries citing papers authored by Hanul Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hanul Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020136
2 2022134
3 202198
4 201595
5 201389
6 201977
7 202274
8 202170
9 202256
10 202452
11 202340
12 202140
13 201733
14 202329
15 202127
16 201925
17 202225
18 202124
19 202124
20 202023

About Hanul Kim

Hanul Kim is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Computer Vision and Pattern Recognition, Biomedical Engineering and Molecular Biology, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include 2D Materials and Applications (17 papers), Graphene research and applications (11 papers), MXene and MAX Phase Materials (10 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Nanomaterials and Printing Technologies (4 papers), Nanowire Synthesis and Applications (4 papers), Perovskite Materials and Applications (4 papers) and Gas Sensing Nanomaterials and Sensors (4 papers). The work is most often cited by research in Biomedical Engineering (465 citations), Polymers and Plastics (149 citations), Materials Chemistry (483 citations), Computer Vision and Pattern Recognition (187 citations) and Electrical and Electronic Engineering (485 citations). Hanul Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Siyoung Q. Choi, Chang‐Su Kim, Steve Park, Dongmok Whang, Heesuk Rho, Jae-Young Sim, Gil‐Ho Kim, Kenji Watanabe, Takashi Taniguchi and Il‐Doo Kim. Their work appears in journals such as Nature Communications, IEEE Access, Advanced Materials, ACS Applied Materials & Interfaces and Applied Physics 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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