Daekyo Jung
- Global and Planetary Change
- Computer Vision and Pattern Recognition top 10%
- Safety, Risk, Reliability and Quality top 5%
- Electrical and Electronic Engineering
- Environmental Engineering
- Co-authors
- Seunghee ParkMinsoo ParkDai Quoc TranSeungsoo LeeDae‐Hyun ChoiJisun LeeYoung‐Woo LeeDonghwan Lee
- Topics
- Fire Detection and Safety Systems (4 papers)Smart Grid Energy Management (3 papers)Internet of Things and Social Network Interactions (2 papers)
- Cited by
- Safety, Risk, Reliability and QualityGlobal and Planetary ChangeComputer Vision and Pattern Recognition
- Partner nations
- South KoreaSouth AfricaRussia
In The Last Decade
Daekyo Jung
9 papers receiving 268 citations
Peers
Comparison fields: 5 of 85
- Global and Planetary Change 75
- Computer Vision and Pattern Recognition 62
- Safety, Risk, Reliability and Quality 61
- Electrical and Electronic Engineering 52
- Environmental Engineering 34
Countries citing papers authored by Daekyo Jung
This map shows the geographic impact of Daekyo Jung'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 Daekyo Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daekyo Jung more than expected).
Fields of papers citing papers by Daekyo Jung
This network shows the impact of papers produced by Daekyo Jung. 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 Daekyo Jung. The network helps show where Daekyo Jung may publish in the future.
Co-authorship network of co-authors of Daekyo Jung
This figure shows the co-authorship network connecting the top 25 collaborators of Daekyo Jung. A scholar is included among the top collaborators of Daekyo Jung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daekyo Jung. Daekyo Jung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 61 | |
| 3 | 51 | |
| 4 | 72 | |
| 5 | 30 | |
| 6 | 27 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | Korea Micro Energy Grid Technology | 1 |
| 10 | 24 | |
| 11 | A USN Based Mobile Object Tracking System for the Prevention of Missing Child | 2 |
About Daekyo Jung
Daekyo Jung is a scholar working on Safety, Risk, Reliability and Quality, Energy Engineering and Power Technology and Transportation, having authored 11 papers that have together received 282 indexed citations. Recurring topics across this work include Fire Detection and Safety Systems (4 papers), Smart Grid Energy Management (3 papers) and Internet of Things and Social Network Interactions (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (61 citations), Global and Planetary Change (75 citations) and Computer Vision and Pattern Recognition (62 citations). Daekyo Jung has collaborated with scholars based in South Korea, South Africa and Russia. Frequent co-authors include Seunghee Park, Minsoo Park, Dai Quoc Tran, Seungsoo Lee, Dae‐Hyun Choi, Jisun Lee, Young‐Woo Lee, Seunghee Park, Donghwan Lee and Yoonkee Kim. Their work appears in journals such as Remote Sensing, Applied Sciences and Electronics.
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.