Tae‐Jun Ha
- Polymers and Plastics top 2%
- Conducting polymers and applications 24
- Bioengineering top 1%
-
- Thin-Film Transistor Technologies 37
- Organic Electronics and Photovoltaics 16
- Gas Sensing Nanomaterials and Sensors 13
- Biomedical Engineering top 2%
- Advanced Sensor and Energy Harvesting Materials 25
- Materials Chemistry top 5%
- Graphene research and applications 17
- Carbon Nanotubes in Composites 16
- ZnO doping and properties 16
- Co-authors
- Byeong-Cheol KangJun-Young JeonAnanth DodabalapurSang‐Joon ParkDaisuke KiriyaAli JaveyKevin ChenPrashant Sonar
- Journals
- IEEE Electron Device Letters (9 papers)Applied Surface Science (7 papers)Applied Physics Letters (7 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Tae‐Jun Ha
123 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 91
- Polymers and Plastics 884
- Bioengineering 289
- Electrical and Electronic Engineering 1.9k
- Biomedical Engineering 1.3k
- Materials Chemistry 1.2k
Countries citing papers authored by Tae‐Jun Ha
This map shows the geographic impact of Tae‐Jun Ha'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 Tae‐Jun Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae‐Jun Ha more than expected).
Fields of papers citing papers by Tae‐Jun Ha
This network shows the impact of papers produced by Tae‐Jun Ha. 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 Tae‐Jun Ha. The network helps show where Tae‐Jun Ha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tae‐Jun Ha, 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 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 14 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 20 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 8 | |
| 14 | 2021 | 36 | |
| 15 | 2020 | 1 | |
| 16 | 2020 | 107 | |
| 17 | 2020 | 42 | |
| 18 | 2018 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2018 | 3 |
About Tae‐Jun Ha
Tae‐Jun Ha is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Bioengineering, Materials Chemistry and Biomedical Engineering, having authored 123 papers that have together received 3.0k indexed citations. Recurring topics across this work include Thin-Film Transistor Technologies (37 papers), Advanced Sensor and Energy Harvesting Materials (25 papers), Conducting polymers and applications (24 papers), Graphene research and applications (17 papers), Carbon Nanotubes in Composites (16 papers), Organic Electronics and Photovoltaics (16 papers), ZnO doping and properties (16 papers) and Gas Sensing Nanomaterials and Sensors (13 papers). The work is most often cited by research in Polymers and Plastics (884 citations), Bioengineering (289 citations), Electrical and Electronic Engineering (1.9k citations), Biomedical Engineering (1.3k citations) and Materials Chemistry (1.2k citations). Tae‐Jun Ha has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Byeong-Cheol Kang, Jun-Young Jeon, Ananth Dodabalapur, Sang‐Joon Park, Daisuke Kiriya, Ali Javey, Kevin Chen, Prashant Sonar, Megha A. Deshmukh and Deji Akinwande. Their work appears in journals such as IEEE Electron Device Letters, Applied Surface Science, Applied Physics Letters, ACS Applied Materials & Interfaces and Journal of Nanoscience and Nanotechnology.
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.