Jong‐Hyun Ahn
- Materials Chemistry top 0.05%
- Graphene research and applications 85
- 2D Materials and Applications 47
- Polymers and Plastics top 0.05%
- Conducting polymers and applications 33
- Biomedical Engineering top 0.01%
- Advanced Sensor and Energy Harvesting Materials 100
- Nanowire Synthesis and Applications 42
- Electrical and Electronic Engineering top 0.05%
- Advanced Memory and Neural Computing 23
- Thin-Film Transistor Technologies 23
- Perovskite Materials and Applications 18
- Co-authors
- Byung Hee HongHouk JangKwang S. KimYoungbin LeeKeun‐Soo KimJong Min KimSangyoon LeePhilip Kim
- Journals
- Advanced Materials (21 papers)ACS Nano (14 papers)Advanced Functional Materials (13 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Jong‐Hyun Ahn
279 papers receiving 38.7k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Materials Chemistry 23.2k
- Polymers and Plastics 6.4k
- Biomedical Engineering 20.0k
- Electrical and Electronic Engineering 19.0k
- Electronic, Optical and Magnetic Materials 5.2k
Countries citing papers authored by Jong‐Hyun Ahn
This map shows the geographic impact of Jong‐Hyun Ahn'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 Jong‐Hyun Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong‐Hyun Ahn more than expected).
Fields of papers citing papers by Jong‐Hyun Ahn
This network shows the impact of papers produced by Jong‐Hyun Ahn. 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 Jong‐Hyun Ahn. The network helps show where Jong‐Hyun Ahn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jong‐Hyun Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 15 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 23 | |
| 10 | 2023 | 28 | |
| 11 | Optoelectronic graded neurons for bioinspired in-sensor motion perceptionbreakdown → | 2023 | 273 |
| 12 | 2023 | 109 | |
| 13 | 2023 | 16 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 34 | |
| 16 | 2022 | 67 | |
| 17 | 2021 | 2 | |
| 18 | 2020 | 68 | |
| 19 | 2019 | 29 | |
| 20 | Review of recent advances in bonding rubber to steel tire cords | 1991 | 4 |
About Jong‐Hyun Ahn
Jong‐Hyun Ahn is a scholar working on Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering, having authored 293 papers that have together received 39.6k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (100 papers), Graphene research and applications (85 papers), 2D Materials and Applications (47 papers), Nanowire Synthesis and Applications (42 papers), Conducting polymers and applications (33 papers), Advanced Memory and Neural Computing (23 papers), Thin-Film Transistor Technologies (23 papers) and Perovskite Materials and Applications (18 papers). The work is most often cited by research in Materials Chemistry (23.2k citations), Polymers and Plastics (6.4k citations) and Biomedical Engineering (20.0k citations). Jong‐Hyun Ahn has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Byung Hee Hong, Houk Jang, Kwang S. Kim, Youngbin Lee, Keun‐Soo Kim, Jong Min Kim, Sangyoon Lee, Philip Kim, Jae‐Young Choi and Yüe Zhao. Their work appears in journals such as Advanced Materials, ACS Nano, Advanced Functional Materials, Nano Letters and NPG Asia Materials.
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.