Sungjun Cho
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
- Bioengineering top 10%
- Analytical Chemistry and Sensors
Papers in
-
- Advanced Neural Network Applications 6
- Multimodal Machine Learning Applications 4
-
- Parallel Computing and Optimization Techniques 5
- Co-authors
- Wooyoung Shim (7 shared papers)Gun Young Jung (7 shared papers)Gwangmook Kim (4 shared papers)Hyeonghun Kim (4 shared papers)Woochul Kim (3 shared papers)Jiyoon Park (3 shared papers)Shinill Kang (2 shared papers)Youngsok Kim (2 shared papers)
- Journals
- Small (2 papers)ACS Applied Materials & Interfaces (2 papers)Physical review. B. (1 paper)International Journal of Refrigeration (1 paper)Journal of Materials Chemistry A (1 paper)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Sungjun Cho
35 papers receiving 758 citations
Peers
Comparison fields: 5 of 75
- Polymers and Plastics 152
- Bioengineering 52
- Biomedical Engineering 330
- Cognitive Neuroscience 124
- Electrical and Electronic Engineering 354
Countries citing papers authored by Sungjun Cho
This map shows the geographic impact of Sungjun Cho'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 Sungjun Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungjun Cho more than expected).
Fields of papers citing papers by Sungjun Cho
This network shows the impact of papers produced by Sungjun Cho. 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 Sungjun Cho. The network helps show where Sungjun Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Sungjun Cho, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 166 | |
| 2 | 2017 | 103 | |
| 3 | 2018 | 56 | |
| 4 | 2020 | 46 | |
| 5 | 2020 | 41 | |
| 6 | 1999 | 40 | |
| 7 | 2019 | 40 | |
| 8 | 2020 | 35 | |
| 9 | 2017 | 30 | |
| 10 | 2020 | 26 | |
| 11 | 2024 | 25 | |
| 12 | 2021 | 23 | |
| 13 | 2024 | 21 | |
| 14 | 2017 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2023 | 16 | |
| 17 | 2020 | 9 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2023 | 6 |
About Sungjun Cho
Sungjun Cho is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Artificial Intelligence, Electrical and Electronic Engineering and Bioengineering, having authored 38 papers that have together received 773 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Perovskite Materials and Applications (5 papers), Advanced Data Storage Technologies (5 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Multimodal Machine Learning Applications (4 papers), Chalcogenide Semiconductor Thin Films (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Polymers and Plastics (152 citations), Bioengineering (52 citations), Biomedical Engineering (330 citations), Cognitive Neuroscience (124 citations) and Electrical and Electronic Engineering (354 citations). Sungjun Cho has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Wooyoung Shim, Gun Young Jung, Gwangmook Kim, Hyeonghun Kim, Woochul Kim, Jiyoon Park, Shinill Kang, Youngsok Kim, Dae‐Eun Kim and Hanjun Kim. Their work appears in journals such as Small, ACS Applied Materials & Interfaces, Physical review. B., International Journal of Refrigeration and Journal of Materials Chemistry A.
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.