Joohyun Shin
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- Process Optimization and Integration 6
- Advanced Control Systems Optimization 4
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- Scheduling and Optimization Algorithms 2
- Artificial Intelligence top 10%
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- Smart Grid Energy Management 3
- Electric Power System Optimization 2
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- Supply Chain and Inventory Management 2
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- Petroleum Processing and Analysis 2
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- Reservoir Engineering and Simulation Methods 2
- Co-authors
- Jay H. LeeMatthew J. RealffThomas A. BadgwellKuang-Hung LiuIgnacio E. GrossmannYiping FengKyungjin AnCan Li
- Cited by
- Control and Systems EngineeringEnergy Engineering and Power TechnologyIndustrial and Manufacturing Engineering
- Journals
- Computers & Chemical Engineering (5 papers)AIChE Journal (2 papers)Clinical and Experimental Dermatology (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Joohyun Shin
13 papers receiving 638 citations
Peers
Comparison fields: 5 of 98
- Control and Systems Engineering 362
- Energy Engineering and Power Technology 39
- Industrial and Manufacturing Engineering 59
- Computational Theory and Mathematics 69
- Artificial Intelligence 121
Countries citing papers authored by Joohyun Shin
This map shows the geographic impact of Joohyun Shin'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 Joohyun Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joohyun Shin more than expected).
Fields of papers citing papers by Joohyun Shin
This network shows the impact of papers produced by Joohyun Shin. 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 Joohyun Shin. The network helps show where Joohyun Shin may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Joohyun Shin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2021 | 7 | |
| 3 | 2021 | 3 | |
| 4 | 2020 | 4 | |
| 5 | 2019 | 219 | |
| 6 | 2018 | 17 | |
| 7 | 2017 | 2 | |
| 8 | 2017 | 91 | |
| 9 | 2017 | 16 | |
| 10 | 2017 | 285 | |
| 11 | 2016 | 0 | |
| 12 | 2016 | 9 | |
| 13 | 2015 | 1 | |
| 14 | 2015 | 3 |
About Joohyun Shin
Joohyun Shin is a scholar working on Control and Systems Engineering, Management Information Systems and Analytical Chemistry, having authored 14 papers that have together received 659 indexed citations. Recurring topics across this work include Process Optimization and Integration (6 papers), Advanced Control Systems Optimization (4 papers), Smart Grid Energy Management (3 papers), Supply Chain and Inventory Management (2 papers), Scheduling and Optimization Algorithms (2 papers), Petroleum Processing and Analysis (2 papers), Electric Power System Optimization (2 papers) and Reservoir Engineering and Simulation Methods (2 papers). The work is most often cited by research in Control and Systems Engineering (362 citations), Energy Engineering and Power Technology (39 citations) and Industrial and Manufacturing Engineering (59 citations). Joohyun Shin has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jay H. Lee, Matthew J. Realff, Thomas A. Badgwell, Kuang-Hung Liu, Ignacio E. Grossmann, Yiping Feng, Kyungjin An, Can Li, Hoon Ko and Joo Yeon Ko. Their work appears in journals such as Computers & Chemical Engineering, AIChE Journal, Clinical and Experimental Dermatology, Applied Energy and International Journal of Environmental Research and Public Health.
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.