Do-Hyun Kim
- Electrical and Electronic Engineering top 10%
- Automotive Engineering top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Co-authors
- Hee‐Je KimMin‐Soo KimKamran ZebKummara Venkata Guru RaghavendraT. N. V. KrishnaJoung‐Hu ParkSarvar Hussain NengrooMinsoo Kim
- Topics
- Advanced DC-DC Converters (15 papers)Multilevel Inverters and Converters (10 papers)Advanced Battery Technologies Research (7 papers)
- Cited by
- Automotive EngineeringRenewable Energy, Sustainability and the EnvironmentEnergy Engineering and Power Technology
- Partner nations
- South KoreaUnited StatesSweden
In The Last Decade
Do-Hyun Kim
36 papers receiving 385 citations
Peers
Comparison fields: 5 of 31
- Electrical and Electronic Engineering 371
- Automotive Engineering 134
- Renewable Energy, Sustainability and the Environment 133
- Control and Systems Engineering 95
- Artificial Intelligence 36
Countries citing papers authored by Do-Hyun Kim
This map shows the geographic impact of Do-Hyun 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 Do-Hyun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Do-Hyun Kim more than expected).
Fields of papers citing papers by Do-Hyun Kim
This network shows the impact of papers produced by Do-Hyun 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 Do-Hyun Kim. The network helps show where Do-Hyun Kim may publish in the future.
Co-authorship network of co-authors of Do-Hyun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Do-Hyun Kim. A scholar is included among the top collaborators of Do-Hyun 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 Do-Hyun Kim. Do-Hyun 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 | 8 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 182 | |
| 8 | 33 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | Cooperative lateral control for automatic valet parking | 3 |
| 19 | 4 | |
| 20 | Modeling and an Efficient Combined Control Strategy for Fuel Cell Electric Vehicles | 2 |
About Do-Hyun Kim
Do-Hyun Kim is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 40 papers that have together received 422 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (15 papers), Multilevel Inverters and Converters (10 papers) and Advanced Battery Technologies Research (7 papers). The work is most often cited by research in Automotive Engineering (134 citations), Renewable Energy, Sustainability and the Environment (133 citations) and Energy Engineering and Power Technology (23 citations). Do-Hyun Kim has collaborated with scholars based in South Korea, United States and Sweden. Frequent co-authors include Hee‐Je Kim, Min‐Soo Kim, Kamran Zeb, Kummara Venkata Guru Raghavendra, T. N. V. Krishna, Joung‐Hu Park, Sarvar Hussain Nengroo, Minsoo Kim, Changhee Kim and Muhammad Umair Ali. Their work appears in journals such as IEEE Communications Magazine, IEEE Transactions on Vehicular Technology and Energies.
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.