Jinkyoo Park

178 total papers · 2.6k total citations
62 papers, 1.6k citations indexed

About

Jinkyoo Park is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Jinkyoo Park has authored 62 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 16 papers in Control and Systems Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Jinkyoo Park's work include Wind Energy Research and Development (13 papers), Energy Load and Power Forecasting (10 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Jinkyoo Park is often cited by papers focused on Wind Energy Research and Development (13 papers), Energy Load and Power Forecasting (10 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Jinkyoo Park collaborates with scholars based in South Korea, United States and Canada. Jinkyoo Park's co-authors include Kincho H. Law, Junyoung Park, Soon-Duck Kwon, Hayong Shin, Youngkook Kim, Sang Hun Kim, David Dornfeld, Seunghwa Ryu, Sudarsan Rachuri and Moneer Helu and has published in prestigious journals such as Applied Energy, Journal of Business Research and Energy Conversion and Management.

In The Last Decade

Jinkyoo Park

58 papers receiving 1.6k citations

Hit Papers

Learning to schedule job-... 2021 2026 2022 2024 2021 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jinkyoo Park 655 501 318 309 266 62 1.6k
Žarko Ćojbašić 589 0.9× 432 0.9× 123 0.4× 372 1.2× 302 1.1× 90 2.0k
Md. Robiul Islam 295 0.5× 146 0.3× 154 0.5× 232 0.8× 283 1.1× 70 1.7k
Mengqi Hu 734 1.1× 168 0.3× 94 0.3× 348 1.1× 339 1.3× 76 2.0k
Sumit Kumar 255 0.4× 157 0.3× 224 0.7× 195 0.6× 860 3.2× 52 1.9k
Lujia Wang 416 0.6× 319 0.6× 54 0.2× 209 0.7× 240 0.9× 82 1.5k
Ian Jennions 372 0.6× 303 0.6× 206 0.6× 683 2.2× 186 0.7× 146 2.0k
James T. Allison 176 0.3× 305 0.6× 215 0.7× 429 1.4× 81 0.3× 133 1.7k
Haisong Huang 253 0.4× 215 0.4× 315 1.0× 339 1.1× 690 2.6× 70 1.9k
G. Gary Wang 578 0.9× 104 0.2× 255 0.8× 130 0.4× 627 2.4× 76 2.3k
Yunfeng Ai 149 0.2× 214 0.4× 153 0.5× 481 1.6× 230 0.9× 77 1.8k

Countries citing papers authored by Jinkyoo Park

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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