Sung-Chong Chung
- Mechanical Engineering top 10%
- Control and Systems Engineering top 5%
- Industrial and Manufacturing Engineering top 5%
- Computational Mechanics top 10%
- Biomedical Engineering
- Topics
- Advanced Measurement and Metrology Techniques (18 papers)Manufacturing Process and Optimization (14 papers)Iterative Learning Control Systems (13 papers)
- Cited by
- Industrial and Manufacturing EngineeringMechanical EngineeringControl and Systems Engineering
- Journals
- International Journal of Production ResearchInternational Journal of Machine Tools and ManufactureThe International Journal of Advanced Manufacturing Technology
- Partner nations
- South KoreaUnited States
In The Last Decade
Sung-Chong Chung
44 papers receiving 397 citations
Peers
Comparison fields: 5 of 51
- Mechanical Engineering 303
- Control and Systems Engineering 187
- Industrial and Manufacturing Engineering 106
- Computational Mechanics 79
- Biomedical Engineering 57
Countries citing papers authored by Sung-Chong Chung
This map shows the geographic impact of Sung-Chong Chung'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 Sung-Chong Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung-Chong Chung more than expected).
Fields of papers citing papers by Sung-Chong Chung
This network shows the impact of papers produced by Sung-Chong Chung. 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 Sung-Chong Chung. The network helps show where Sung-Chong Chung may publish in the future.
Co-authorship network of co-authors of Sung-Chong Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Chong Chung. A scholar is included among the top collaborators of Sung-Chong Chung 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 Sung-Chong Chung. Sung-Chong Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | Drilling Characteristics and Modeling of Diamond Core Drilling Processes | 1 |
| 7 | 24 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 0 | |
| 16 | 43 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 8 | |
| 20 | Selection Method of Multiple Threshold Based on Probability Distribution function Using Fuzzy Clustering | 1 |
About Sung-Chong Chung
Sung-Chong Chung is a scholar working on Industrial and Manufacturing Engineering, Computer Graphics and Computer-Aided Design and Mechanical Engineering, having authored 49 papers that have together received 437 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (18 papers), Manufacturing Process and Optimization (14 papers) and Iterative Learning Control Systems (13 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (106 citations), Mechanical Engineering (303 citations) and Control and Systems Engineering (187 citations). Sung-Chong Chung has collaborated with scholars based in South Korea and United States. Frequent co-authors include Minseok Kim, Minseok Kim, Seung Cheol Kim, Lei Cao, Chun-Hong Park, Jeong Seok Oh, Min‐Seok Kim and Chun Hong Park. Their work appears in journals such as International Journal of Production Research, International Journal of Machine Tools and Manufacture and The International Journal of Advanced Manufacturing Technology.
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.