Jun Young Hwang

1.1k citations
53 papers · 938 · h-index 17

Impact in

Papers in

Jun Young Hwang

49 papers receiving 914 citations

Peers

Jun Young Hwang
Comparison fields: 5 of 62
  • Fluid Flow and Transfer Processes 316
  • Automotive Engineering 219
  • Computational Mechanics 337
  • Biomedical Engineering 334
  • Electrical and Electronic Engineering 431
Replace Hatim Machrafi with:
Hatim Machrafi Belgium
Ebrahim Nadimi Iran
Alexandru Crivoi Singapore
Meng Yang China
Oliver Kastner Germany
Francisco Espinosa-Loza United States
Kyle Matthews United States
Todd Salamon United States
N. Beck Switzerland
Jun Young Hwang relative to Hatim Machrafi Belgium Hatim Machrafi's profile →
Citations per field
00.5×3.2×
Hatim Machrafi · 1×
Citations per year

Countries citing papers authored by Jun Young Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Young Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Young Hwang. 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 Jun Young Hwang. The network helps show where Jun Young Hwang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997144
2 200199
3 199887
4 200854
5 201152
6 201645
7 201542
8 201531
9 200131
10 200130
11 201429
12 201723
13 201021
14 201417
15 202217
16 201816
17 200416
18 201315
19 200915
20 201515

About Jun Young Hwang

Jun Young Hwang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computational Mechanics, Automotive Engineering and Atmospheric Science, having authored 53 papers that have together received 938 indexed citations. Recurring topics across this work include Nanomaterials and Printing Technologies (30 papers), Additive Manufacturing and 3D Printing Technologies (12 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Combustion and flame dynamics (7 papers), Advanced Combustion Engine Technologies (6 papers), Nanofabrication and Lithography Techniques (6 papers), Electrohydrodynamics and Fluid Dynamics (5 papers) and Gold and Silver Nanoparticles Synthesis and Applications (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (316 citations), Automotive Engineering (219 citations), Computational Mechanics (337 citations), Biomedical Engineering (334 citations) and Electrical and Electronic Engineering (431 citations). Jun Young Hwang has collaborated with scholars based in South Korea, United States and Israel. Frequent co-authors include Suk Ho Chung, Kyung‐Tae Kang, Seung Jae Moon, Heuiseok Kang, Hyun‐Gu Kang, Sang-Ho Lee, Jun Ho Yu, Sang Ho Lee, Hyun‐Seung Kang and Kwan Hyun Cho. Their work appears in journals such as International Journal of Heat and Mass Transfer, Combustion and Flame, Journal of Aerosol Science, Applied Sciences and Current Applied Physics.

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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