Jong-Wook Kim

111 papers receiving 1.5k citations

Jong-Wook Kim's Hit Papers

Human Pose Estimation Using MediaPipe Pose and Optimization Method Based on a Humanoid Model 2023 · 119 citations
1190+1+2Years since publication255075100

Peers

Jong-Wook Kim
Comparison fields: 5 of 134
  • Strategy and Management 239
  • Accounting 157
  • Control and Systems Engineering 272
  • Human-Computer Interaction 60
  • Industrial and Manufacturing Engineering 103
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Azween Abdullah Malaysia
Robbi Rahim Indonesia
Che‐Wei Chang Taiwan
Khalifa N. Al‐Khalifa Qatar
Chris McMahon United Kingdom
Muhammad Mansoor Alam Malaysia
Robert J. Howlett United Kingdom
Hassan A. Alsattar Iraq
Simon Mayer Switzerland
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Citations per year

Countries citing papers authored by Jong-Wook Kim

Since Specialization
Citations

This map shows the geographic impact of Jong-Wook 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 Jong-Wook Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong-Wook Kim more than expected).

Fields of papers citing papers by Jong-Wook Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong-Wook 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 Jong-Wook Kim. The network helps show where Jong-Wook Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside Jong-Wook Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jong-Wook Kim Line = papers co-authored together Jong-Wook Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005242
2
Human Pose Estimation Using MediaPipe Pose and Optimization Method Based on a Humanoid Model
Hit paper breakdown →
2023119
3 2017118
4 2019115
5 200276
6 201570
7 201062
8 200956
9 201047
10 201743
11 201142
12 200633
13 201630
14 201030
15 202225
16 201924
17 201520
18 200218
19 202217
20 202117

About Jong-Wook Kim

Jong-Wook Kim is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering and Mechanical Engineering, having authored 136 papers that have together received 1.7k indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (25 papers), Metaheuristic Optimization Algorithms Research (19 papers), Robotic Locomotion and Control (18 papers), Induction Heating and Inverter Technology (12 papers), Robotics and Automated Systems (10 papers), Robotic Path Planning Algorithms (10 papers), Evolutionary Algorithms and Applications (8 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). The work is most often cited by research in Strategy and Management (239 citations), Accounting (157 citations), Control and Systems Engineering (272 citations), Human-Computer Interaction (60 citations) and Industrial and Manufacturing Engineering (103 citations). Jong-Wook Kim has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Joseph T. Mahoney, Yong-Jae Kim, Sang‐Yong Jung, Jun-Young Song, Sang Woo Kim, Jae‐Won Choi, Don Batory, Dae-Woo Kim, Sang-Yong Jung and Jin-Young Choi. Their work appears in journals such as IEEE Transactions on Magnetics, Applied Sciences, Managerial and Decision Economics, Sensors and Advanced Materials.

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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