Jun‐Hwe Cha
Impact in
- Bioengineering top 5%
- Analytical Chemistry and Sensors
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- Gas Sensing Nanomaterials and Sensors
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
Papers in
-
- Conducting polymers and applications 5
- Transition Metal Oxide Nanomaterials 4
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- Advanced Memory and Neural Computing 11
- Gas Sensing Nanomaterials and Sensors 8
- Ferroelectric and Negative Capacitance Devices 5
- Co-authors
- Il‐Doo Kim (12 shared papers)Sung‐Yool Choi (24 shared papers)Seon‐Jin Choi (6 shared papers)Dong‐Ha Kim (11 shared papers)Ji‐Soo Jang (7 shared papers)Jungyeop Oh (12 shared papers)Sang Yoon Yang (10 shared papers)Sunmoon Yu (1 shared paper)
- Journals
- ACS Nano (5 papers)Advanced Materials (4 papers)Advanced Science (3 papers)Advanced Functional Materials (3 papers)Nanoscale (3 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jun‐Hwe Cha
32 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 65
- Bioengineering 126
- Electrical and Electronic Engineering 932
- Polymers and Plastics 195
- Cellular and Molecular Neuroscience 158
- Materials Chemistry 408
Countries citing papers authored by Jun‐Hwe Cha
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
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.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 186 | |
| 2 | 2017 | 145 | |
| 3 | 2018 | 143 | |
| 4 | 2020 | 126 | |
| 5 | 2020 | 112 | |
| 6 | 2023 | 86 | |
| 7 | 2018 | 63 | |
| 8 | 2020 | 51 | |
| 9 | 2018 | 40 | |
| 10 | 2022 | 34 | |
| 11 | 2023 | 31 | |
| 12 | 2020 | 29 | |
| 13 | 2023 | 27 | |
| 14 | 2022 | 27 | |
| 15 | 2023 | 23 | |
| 16 | 2022 | 21 | |
| 17 | 2024 | 20 | |
| 18 | 2024 | 15 | |
| 19 | 2023 | 11 | |
| 20 | 2023 | 10 |
About Jun‐Hwe Cha
Jun‐Hwe Cha is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Materials Chemistry and Hardware and Architecture, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Gas Sensing Nanomaterials and Sensors (8 papers), Neuroscience and Neural Engineering (7 papers), 2D Materials and Applications (5 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Conducting polymers and applications (5 papers), Graphene research and applications (4 papers) and Transition Metal Oxide Nanomaterials (4 papers). The work is most often cited by research in Bioengineering (126 citations), Electrical and Electronic Engineering (932 citations), Polymers and Plastics (195 citations), Cellular and Molecular Neuroscience (158 citations) and Materials Chemistry (408 citations). Jun‐Hwe Cha has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Il‐Doo Kim, Sung‐Yool Choi, Seon‐Jin Choi, Dong‐Ha Kim, Ji‐Soo Jang, Jungyeop Oh, Sang Yoon Yang, Sunmoon Yu, Byung Chul Jang and Won‐Tae Koo. Their work appears in journals such as ACS Nano, Advanced Materials, Advanced Science, Advanced Functional Materials and Nanoscale.
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.