Dong-Jin Choi
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Water Science and Technology top 10%
- Industrial and Manufacturing Engineering top 10%
- Environmental Engineering
- Co-authors
- Heekyung ParkSun-Ki HongSang-Uk ParkHyeong‐Seob KimJunho ChoiChang ChoiPankoo KimJeong‐Sik Park
- Topics
- Machine Fault Diagnosis Techniques (7 papers)Fault Detection and Control Systems (4 papers)Gear and Bearing Dynamics Analysis (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringWater Science and TechnologyControl and Systems Engineering
- Journals
- Water ResearchEngineering Applications of Artificial IntelligenceJournal of Water Supply Research and Technology—AQUA
- Partner nations
- South KoreaJapan
In The Last Decade
Dong-Jin Choi
14 papers receiving 301 citations
Peers
Comparison fields: 5 of 73
- Control and Systems Engineering 94
- Artificial Intelligence 90
- Water Science and Technology 85
- Industrial and Manufacturing Engineering 64
- Environmental Engineering 54
Countries citing papers authored by Dong-Jin Choi
This map shows the geographic impact of Dong-Jin Choi'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 Dong-Jin Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong-Jin Choi more than expected).
Fields of papers citing papers by Dong-Jin Choi
This network shows the impact of papers produced by Dong-Jin Choi. 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 Dong-Jin Choi. The network helps show where Dong-Jin Choi may publish in the future.
Co-authorship network of co-authors of Dong-Jin Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Dong-Jin Choi. A scholar is included among the top collaborators of Dong-Jin Choi 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 Dong-Jin Choi. Dong-Jin Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 55 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 34 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | Detecting Web based DDoS Attack using MapReduce operations in Cloud Computing Environment. | 41 |
| 15 | Auto-Analysis of Traffic Flow through Semantic Modeling of Moving Objects | 1 |
| 16 | 148 | |
| 17 | 8 | |
| 18 | 7 |
About Dong-Jin Choi
Dong-Jin Choi is a scholar working on Control and Systems Engineering, Signal Processing and Artificial Intelligence, having authored 18 papers that have together received 326 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (7 papers), Fault Detection and Control Systems (4 papers) and Gear and Bearing Dynamics Analysis (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (64 citations), Water Science and Technology (85 citations) and Control and Systems Engineering (94 citations). Dong-Jin Choi has collaborated with scholars based in South Korea and Japan. Frequent co-authors include Heekyung Park, Sun-Ki Hong, Sang-Uk Park, Hyeong‐Seob Kim, Junho Choi, Chang Choi, Pankoo Kim, Jeong‐Sik Park, Yung‐Hwan Oh and Mi-Young Cho. Their work appears in journals such as Water Research, Engineering Applications of Artificial Intelligence and Journal of Water Supply Research and Technology—AQUA.
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.