Jun‐Hwe Cha

900 citations
28 papers · 743 · h-index 14

Impact in

Papers in

Jun‐Hwe Cha

24 papers receiving 726 citations

Peers

Jun‐Hwe Cha
Comparison fields: 5 of 59
  • Bioengineering 76
  • Electrical and Electronic Engineering 552
  • Polymers and Plastics 106
  • Materials Chemistry 294
  • Renewable Energy, Sustainability and the Environment 86
Replace Suresh Kumar Garlapati with:
Suresh Kumar Garlapati India
Chuanyu Han China
Woo Seok Lee South Korea
Nicolas Battaglini France
Jiachen Zhou China
Xu Jing China
Hsiao‐Hsuan Hsu Taiwan
Wooseok Kim South Korea
Feng Shao China
Fanfan Li China
Jun‐Hwe Cha relative to Suresh Kumar Garlapati India Suresh Kumar Garlapati's profile →
Citations per field
00.5×4.1×
Suresh Kumar Garlapati · 1×
Citations per year

Countries citing papers authored by Jun‐Hwe Cha

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Hwe Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Hwe Cha. 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‐Hwe Cha. The network helps show where Jun‐Hwe Cha may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018131
2 2020118
3 2020104
4 202375
5 202047
6 201838
7 202232
8 202326
9 202024
10 202224
11 202322
12 202419
13 202318
14 202216
15 202412
16 20238
17 20227
18 20237
19 20225
20 20233

About Jun‐Hwe Cha

Jun‐Hwe Cha is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 28 papers that have together received 743 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Neuroscience and Neural Engineering (6 papers), Gas Sensing Nanomaterials and Sensors (6 papers), Conducting polymers and applications (5 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Transition Metal Oxide Nanomaterials (4 papers), 2D Materials and Applications (4 papers) and ZnO doping and properties (4 papers). The work is most often cited by research in Bioengineering (76 citations), Electrical and Electronic Engineering (552 citations), Polymers and Plastics (106 citations), Materials Chemistry (294 citations) and Renewable Energy, Sustainability and the Environment (86 citations). Jun‐Hwe Cha has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Sung‐Yool Choi, Dong‐Ha Kim, Il‐Doo Kim, Ji‐Soo Jang, Ji‐Won Jung, Woonggi Hong, Seon‐Jin Choi, Won‐Tae Koo, Jungyeop Oh and Sang Yoon Yang. Their work appears in journals such as ACS Nano, Advanced Materials, Advanced Functional Materials, Nanoscale and Advanced Science.

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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