Daejin Park
Impact in
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
- Autonomous Vehicle Technology and Safety
- Hardware and Architecture top 10%
Papers in
-
- IoT and Edge/Fog Computing 18
- Co-authors
- Jeonghun Cho (34 shared papers)Meng Yin (7 shared papers)Tag Gon Kim (12 shared papers)Wentong Cai (4 shared papers)Pyung Choi (2 shared papers)Sung‐Hoon Hong (6 shared papers)Sejong Oh (4 shared papers)Byoung‐Ju Yun (1 shared paper)
- Journals
- IEEE Access (11 papers)Sensors (10 papers)Electronics (8 papers)Applied Sciences (4 papers)Journal of Ambient Intelligence and Humanized Computing (3 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Daejin Park
134 papers receiving 700 citations
Peers
Comparison fields: 5 of 95
- Automotive Engineering 119
- Hardware and Architecture 61
- Industrial and Manufacturing Engineering 64
- Instrumentation 21
- Computer Networks and Communications 137
Countries citing papers authored by Daejin Park
This map shows the geographic impact of Daejin Park'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 Daejin Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daejin Park more than expected).
Fields of papers citing papers by Daejin Park
This network shows the impact of papers produced by Daejin Park. 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 Daejin Park. The network helps show where Daejin Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Daejin Park, 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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 39 | |
| 2 | 2020 | 30 | |
| 3 | 2018 | 29 | |
| 4 | 2018 | 25 | |
| 5 | 2011 | 21 | |
| 6 | 2023 | 19 | |
| 7 | 2022 | 18 | |
| 8 | 2015 | 18 | |
| 9 | 2015 | 17 | |
| 10 | 2021 | 17 | |
| 11 | 2020 | 17 | |
| 12 | 2000 | 17 | |
| 13 | 2022 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2018 | 14 | |
| 16 | 2000 | 14 | |
| 17 | 2017 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2021 | 12 | |
| 20 | 2016 | 12 |
About Daejin Park
Daejin Park is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Hardware and Architecture and Automotive Engineering, having authored 156 papers that have together received 719 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (18 papers), Autonomous Vehicle Technology and Safety (16 papers), ECG Monitoring and Analysis (14 papers), Embedded Systems Design Techniques (14 papers), Parallel Computing and Optimization Techniques (13 papers), Cloud Computing and Resource Management (10 papers), EEG and Brain-Computer Interfaces (10 papers) and Context-Aware Activity Recognition Systems (10 papers). The work is most often cited by research in Automotive Engineering (119 citations), Hardware and Architecture (61 citations), Industrial and Manufacturing Engineering (64 citations), Instrumentation (21 citations) and Computer Networks and Communications (137 citations). Daejin Park has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Jeonghun Cho, Meng Yin, Tag Gon Kim, Wentong Cai, Pyung Choi, Sung‐Hoon Hong, Sejong Oh, Byoung‐Ju Yun, Tadesse Weldu Teklu and Hazim Abass. Their work appears in journals such as IEEE Access, Sensors, Electronics, Applied Sciences and Journal of Ambient Intelligence and Humanized Computing.
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.