Youngju Kim
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Industrial and Manufacturing Engineering top 5%
- Control and Systems Engineering
- Epidemiology
- Co-authors
- Daesik HongChang Ouk KimHoyeop LeeSungeun LeeTaehoon KwonSungsoo ParkJin-Tae HanSungmook Lim
- Topics
- Advanced MIMO Systems Optimization (7 papers)Cooperative Communication and Network Coding (6 papers)Advanced Wireless Network Optimization (6 papers)
- Cited by
- Computer Networks and CommunicationsIndustrial and Manufacturing EngineeringElectrical and Electronic Engineering
- Journals
- BloodCancer ResearchBrain Research
- Partner nations
- South KoreaUnited StatesBelgium
In The Last Decade
Youngju Kim
26 papers receiving 471 citations
Peers
Comparison fields: 5 of 86
- Electrical and Electronic Engineering 239
- Computer Networks and Communications 176
- Industrial and Manufacturing Engineering 65
- Control and Systems Engineering 49
- Epidemiology 43
Countries citing papers authored by Youngju Kim
This map shows the geographic impact of Youngju 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 Youngju Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngju Kim more than expected).
Fields of papers citing papers by Youngju Kim
This network shows the impact of papers produced by Youngju 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 Youngju Kim. The network helps show where Youngju Kim may publish in the future.
Co-authorship network of co-authors of Youngju Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Youngju Kim. A scholar is included among the top collaborators of Youngju 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 Youngju Kim. Youngju 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 | 21 | |
| 2 | 88 | |
| 3 | 55 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 41 | |
| 7 | 9 | |
| 8 | 89 | |
| 9 | 57 | |
| 10 | 8 | |
| 11 | 13 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | Improved efficacy with sequential use of histone deacetylase inhibitor, LAQ824, with common chemotherapeutic agents in head and neck squamous carcinoma cell lines | 2 |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | Effect of Terlipressin Administration on Portal Pressure in Patients with Liver Cirrhosis | 2 |
| 19 | 27 | |
| 20 | 0 |
About Youngju Kim
Youngju Kim is a scholar working on Industrial and Manufacturing Engineering, Complementary and alternative medicine and Computer Networks and Communications, having authored 28 papers that have together received 500 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (7 papers), Cooperative Communication and Network Coding (6 papers) and Advanced Wireless Network Optimization (6 papers). The work is most often cited by research in Computer Networks and Communications (176 citations), Industrial and Manufacturing Engineering (65 citations) and Electrical and Electronic Engineering (239 citations). Youngju Kim has collaborated with scholars based in South Korea, United States and Belgium. Frequent co-authors include Daesik Hong, Chang Ouk Kim, Hoyeop Lee, Sungeun Lee, Taehoon Kwon, Sungsoo Park, Jin-Tae Han, Sungmook Lim, Soo‐Jin Park and Woohyun Seo. Their work appears in journals such as Blood, Cancer Research and Brain Research.
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.