Chang Ouk Kim
- Industrial and Manufacturing Engineering top 0.5%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 2%
- Electrical and Electronic Engineering top 10%
- Mechanical Engineering top 10%
- Co-authors
- Ki Bum LeeJaeyeon JangIck-Hyun KwonHoyeop LeeYoungju KimChoonjong KwakTae‐Hyung LeeHyun Joon Shin
- Topics
- Industrial Vision Systems and Defect Detection (22 papers)Fault Detection and Control Systems (10 papers)Scheduling and Optimization Algorithms (8 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Chang Ouk Kim
62 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Industrial and Manufacturing Engineering 785
- Artificial Intelligence 451
- Control and Systems Engineering 387
- Electrical and Electronic Engineering 331
- Mechanical Engineering 255
Countries citing papers authored by Chang Ouk Kim
This map shows the geographic impact of Chang Ouk Kim'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 Chang Ouk Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Ouk Kim more than expected).
Fields of papers citing papers by Chang Ouk Kim
This network shows the impact of papers produced by Chang Ouk Kim. 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 Chang Ouk Kim. The network helps show where Chang Ouk Kim may publish in the future.
Co-authorship network of co-authors of Chang Ouk Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Chang Ouk Kim. A scholar is included among the top collaborators of Chang Ouk Kim 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 Chang Ouk Kim. Chang Ouk Kim 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 | 0 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 33 | |
| 9 | 1 | |
| 10 | 216 | |
| 11 | 22 | |
| 12 | 6 | |
| 13 | 29 | |
| 14 | 44 | |
| 15 | 11 | |
| 16 | 1 | |
| 17 | Multi-Stage Supply Chain Inventory Control Using Simulation Optimization | 0 |
| 18 | 17 | |
| 19 | Dispatching decisions within preemption procedure | 4 |
| 20 | A collaboration scheme for distributed CIM data activities | 1 |
About Chang Ouk Kim
Chang Ouk Kim is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Management Information Systems, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (22 papers), Fault Detection and Control Systems (10 papers) and Scheduling and Optimization Algorithms (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (785 citations), Media Technology (155 citations) and Control and Systems Engineering (387 citations). Chang Ouk Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Ki Bum Lee, Jaeyeon Jang, Ick-Hyun Kwon, Hoyeop Lee, Youngju Kim, Choonjong Kwak, Tae‐Hyung Lee, Hyun Joon Shin, Jun‐Geol Baek and Keeheon Lee. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Journal of the Operational Research Society.
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.