Young‐Seon Jeong
- Building and Construction top 0.5%
- Transportation top 0.5%
- Control and Systems Engineering top 2%
- Signal Processing top 1%
- Artificial Intelligence top 5%
- Co-authors
- Myong K. JeongManoel Castro-NetoLee D. HanOlufemi A. OmitaomuYoung-Ji ByonSaid M. EasaSeong-Jun KimRaja Jayaraman
- Topics
- Industrial Vision Systems and Defect Detection (10 papers)Traffic Prediction and Management Techniques (7 papers)Anomaly Detection Techniques and Applications (7 papers)
- Partner nations
- South KoreaUnited StatesUnited Arab Emirates
In The Last Decade
Young‐Seon Jeong
39 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Building and Construction 897
- Transportation 689
- Control and Systems Engineering 589
- Signal Processing 459
- Artificial Intelligence 454
Countries citing papers authored by Young‐Seon Jeong
This map shows the geographic impact of Young‐Seon Jeong'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 Young‐Seon Jeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐Seon Jeong more than expected).
Fields of papers citing papers by Young‐Seon Jeong
This network shows the impact of papers produced by Young‐Seon Jeong. 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 Young‐Seon Jeong. The network helps show where Young‐Seon Jeong may publish in the future.
Co-authorship network of co-authors of Young‐Seon Jeong
This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Seon Jeong. A scholar is included among the top collaborators of Young‐Seon Jeong 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 Young‐Seon Jeong. Young‐Seon Jeong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 25 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 24 | |
| 12 | 17 | |
| 13 | 25 | |
| 14 | 15 | |
| 15 | 32 | |
| 16 | Availability of patient classification using clinical data. | 0 |
| 17 | 5 | |
| 18 | 15 | |
| 19 | Remote Health Monitoring of Parkinson’s Disease Severity Using Signomial Regression Model | 0 |
| 20 | 80 |
About Young‐Seon Jeong
Young‐Seon Jeong is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Transportation, having authored 43 papers that have together received 2.0k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (10 papers), Traffic Prediction and Management Techniques (7 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Transportation (689 citations), Building and Construction (897 citations) and Signal Processing (459 citations). Young‐Seon Jeong has collaborated with scholars based in South Korea, United States and United Arab Emirates. Frequent co-authors include Myong K. Jeong, Manoel Castro-Neto, Lee D. Han, Olufemi A. Omitaomu, Young-Ji Byon, Said M. Easa, Seong-Jun Kim, Raja Jayaraman, Sang Hyun Choi and Kamal Taha. Their work appears in journals such as Expert Systems with Applications, Sensors and Pattern Recognition.
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.