Jin-Hwan Park

3.1k citations
86 papers · 2.0k indexed · h-index 25

Jin-Hwan Park

78 papers receiving 2.0k citations

Peers

Jin-Hwan Park
Comparison fields: 5 of 109
  • Automotive Engineering 680
  • Electrical and Electronic Engineering 1.6k
  • Electronic, Optical and Magnetic Materials 456
  • Mechanical Engineering 280
  • Polymers and Plastics 96
Replace Shuai Ma with:
Shuai Ma China
Matthew D. R. Kok United Kingdom
Rahul Mukherjee India
Ziqiang Xu China
Xingyu Zhu China
Yangang Wang China
Li He China
Xiaofeng Ding China
Ziqi Guo China
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Countries citing papers authored by Jin-Hwan Park

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Hwan Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Hwan Park. 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 Jin-Hwan Park. The network helps show where Jin-Hwan Park may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20236
3 20230
4 20200
5 201911
6 201924
7 20191
8
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices
201822
9 2018170
10 20182
11 201724
12 201739
13 20166
14 20166
15
Grouting Effects of Microfine Cement in the Rock-based Sites
20103
16
4HBA 변성 하이솔리드 아크릴 우레탄 도료의 반응성 및 물성 연구
20091
17
A Study on the Reactivity, Performance of 4HBA Modified High Solid Acrylic Polyurethane Paint
20093
18
The Properties of Different Polyols for Paint to Polyisocyanate
20080
19
Sensitivity Analysis of Ordinary Kriging Interpolation According to Different Variogram Models
20082
20
Prediction of Lifetime of Steel Bridge Coating on Highway for Effective Maintenance
20081

About Jin-Hwan Park

Jin-Hwan Park is a scholar working on Signal Processing, Automotive Engineering and Electronic, Optical and Magnetic Materials, having authored 86 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advancements in Battery Materials (30 papers), Advanced Battery Materials and Technologies (22 papers), Supercapacitor Materials and Fabrication (12 papers), Speech Recognition and Synthesis (10 papers), Advanced Battery Technologies Research (8 papers), Speech and Audio Processing (7 papers), Extraction and Separation Processes (7 papers) and Music and Audio Processing (6 papers). The work is most often cited by research in Automotive Engineering (680 citations), Electrical and Electronic Engineering (1.6k citations) and Electronic, Optical and Magnetic Materials (456 citations). Jin-Hwan Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seok‐Gwang Doo, Jun‐Ho Park, Yoon‐Sok Kang, Seung M. Oh, Min‐Sik Park, Junyoung Mun, Jaegu Yoon, Wonchang Choi, Kwangjin Park and Ji Heon Ryu.

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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