Hanul Kim

1.7k citations
62 papers · 1.4k · h-index 21

Impact in

Papers in

Hanul Kim

53 papers receiving 1.3k citations

Peers

Hanul Kim
Comparison fields: 5 of 119
  • Polymers and Plastics 143
  • Biomedical Engineering 452
  • Materials Chemistry 471
  • Computer Vision and Pattern Recognition 186
  • Electrical and Electronic Engineering 473
Replace Di Zhu with:
Di Zhu China
Hongwei Jiang China
Xuan Wei China
Hailong Liu China
Yangyang Li China
Kai Chen China
Hao Tang China
Fredrik Forsberg Sweden
Yan Tang China
Hanul Kim relative to Di Zhu China Di Zhu's profile →
Citations per field
00.5×3.1×
Di Zhu · 1×
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 2020135
2 2022122
3 201595
4 202192
5 201387
6 201971
7 202168
8 202267
9 202253
10 202443
11 202338
12 202138
13 201732
14 202328
15 202127
16 201924
17 202124
18 202023
19 202222
20 202121

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), Video Surveillance and Tracking Methods (4 papers), Perovskite Materials and Applications (4 papers), Nanowire Synthesis and Applications (4 papers) and Nanomaterials and Printing Technologies (4 papers). The work is most often cited by research in Polymers and Plastics (143 citations), Biomedical Engineering (452 citations), Materials Chemistry (471 citations), Computer Vision and Pattern Recognition (186 citations) and Electrical and Electronic Engineering (473 citations). Hanul Kim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Siyoung Q. Choi, Chang‐Su Kim, Steve Park, Gil‐Ho Kim, Heesuk Rho, Dongmok Whang, Jae-Young Sim, Takashi Taniguchi, Kenji Watanabe and Hayoung Ko. Their work appears in journals such as Nature Communications, IEEE Access, ACS Applied Materials & Interfaces, Advanced Materials and 2D 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.

Explore authors with similar magnitude of impact