Jinkyoo Park
- Electrical and Electronic Engineering top 5%
- Aerospace Engineering top 2%
- Industrial and Manufacturing Engineering top 1%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 5%
- Co-authors
- Kincho H. LawJunyoung ParkSoon-Duck KwonHayong ShinSang Hun KimYoungkook KimDavid DornfeldSudarsan Rachuri
- Topics
- Wind Energy Research and Development (13 papers)Energy Load and Power Forecasting (10 papers)Advanced Multi-Objective Optimization Algorithms (8 papers)
- Cited by
- Industrial and Manufacturing EngineeringAerospace EngineeringControl and Systems Engineering
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jinkyoo Park
59 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Electrical and Electronic Engineering 660
- Aerospace Engineering 511
- Industrial and Manufacturing Engineering 325
- Control and Systems Engineering 313
- Artificial Intelligence 273
Countries citing papers authored by Jinkyoo Park
This map shows the geographic impact of Jinkyoo Park'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 Jinkyoo Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinkyoo Park more than expected).
Fields of papers citing papers by Jinkyoo Park
This network shows the impact of papers produced by Jinkyoo Park. 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 Jinkyoo Park. The network helps show where Jinkyoo Park may publish in the future.
Co-authorship network of co-authors of Jinkyoo Park
This figure shows the co-authorship network connecting the top 25 collaborators of Jinkyoo Park. A scholar is included among the top collaborators of Jinkyoo Park 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 Jinkyoo Park. Jinkyoo Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 26 | |
| 13 | Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learningbreakdown → | 196 |
| 14 | Port-Hamiltonian Gradient Flows | 1 |
| 15 | Dissecting Neural ODEs | 1 |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 32 | |
| 19 | 1 | |
| 20 | 6 |
About Jinkyoo Park
Jinkyoo Park is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computational Theory and Mathematics, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wind Energy Research and Development (13 papers), Energy Load and Power Forecasting (10 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (325 citations), Aerospace Engineering (511 citations) and Control and Systems Engineering (313 citations). Jinkyoo Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kincho H. Law, Junyoung Park, Soon-Duck Kwon, Hayong Shin, Sang Hun Kim, Youngkook Kim, David Dornfeld, Sudarsan Rachuri, Seunghwa Ryu and Moneer Helu. Their work appears in journals such as Applied Energy, Journal of Business Research and Energy Conversion and Management.
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.