Sung‐Hun Ha

1.1k citations
27 papers · 995 · h-index 16

Impact in

Papers in

Sung‐Hun Ha

27 papers receiving 987 citations

Peers

Sung‐Hun Ha
Comparison fields: 5 of 62
  • Polymers and Plastics 366
  • Biomedical Engineering 849
  • Cognitive Neuroscience 331
  • Surfaces, Coatings and Films 56
  • Bioengineering 36
Replace Nam‐Su Jang with:
Nam‐Su Jang South Korea
Hachul Jung South Korea
Shisheng Cai China
Hyukho Kwon South Korea
Heting Wu China
Andrew Fassler United States
Ganguang Yang China
Shaoyu Liu China
Sharvil Desai United States
Kyoungho Ha South Korea
Sung‐Hun Ha relative to Nam‐Su Jang South Korea Nam‐Su Jang's profile →
Citations per field
00.5×1.6×
Nam‐Su Jang · 1×
Citations per year

Countries citing papers authored by Sung‐Hun Ha

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Hun Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung‐Hun Ha. 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 Sung‐Hun Ha. The network helps show where Sung‐Hun Ha may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018187
2 2017179
3 2017139
4 201883
5 202077
6 201833
7 201532
8 201531
9 202028
10 200925
11 202119
12 202018
13 202218
14 201718
15 201917
16 200916
17 201514
18 202111
19 202211
20 20168

About Sung‐Hun Ha

Sung‐Hun Ha is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Polymers and Plastics, Mechanics of Materials and Mechanical Engineering, having authored 27 papers that have together received 995 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (19 papers), Tactile and Sensory Interactions (12 papers), Conducting polymers and applications (11 papers), Energetic Materials and Combustion (3 papers), Nanomaterials and Printing Technologies (3 papers), Advanced Materials and Mechanics (3 papers), Innovative Energy Harvesting Technologies (2 papers) and Surface Modification and Superhydrophobicity (2 papers). The work is most often cited by research in Polymers and Plastics (366 citations), Biomedical Engineering (849 citations), Cognitive Neuroscience (331 citations), Surfaces, Coatings and Films (56 citations) and Bioengineering (36 citations). Sung‐Hun Ha has collaborated with scholars based in South Korea, Hong Kong and Japan. Frequent co-authors include Jong‐Man Kim, Nam‐Su Jang, Kang-Hyun Kim, Hyung Woo Lee, Hye Moon Lee, Soo‐Ho Jung, Sun‐Hyung Ha, Luhe Li, Soo Hyung Kim and Jaebeom Lee. Their work appears in journals such as ACS Applied Materials & Interfaces, RSC Advances, Composites Science and Technology, Journal of Materials Chemistry C and Combustion and Flame.

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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