Hyunjae Kim
- Artificial Intelligence top 5%
- Atmospheric Science top 10%
- Electrical and Electronic Engineering
- Health, Toxicology and Mutagenesis top 5%
- Automotive Engineering top 10%
- Co-authors
- Jaewoo KangHai-Woong LeeJinsoo ParkJinhyuk LeeChun T. RimByunghun LeeSang-Keun SongYoo-Keun Kim
- Topics
- Atmospheric chemistry and aerosols (13 papers)Topic Modeling (10 papers)Air Quality and Health Impacts (9 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Hyunjae Kim
52 papers receiving 757 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 210
- Atmospheric Science 178
- Electrical and Electronic Engineering 167
- Health, Toxicology and Mutagenesis 150
- Automotive Engineering 82
Countries citing papers authored by Hyunjae Kim
This map shows the geographic impact of Hyunjae 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 Hyunjae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyunjae Kim more than expected).
Fields of papers citing papers by Hyunjae Kim
This network shows the impact of papers produced by Hyunjae 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 Hyunjae Kim. The network helps show where Hyunjae Kim may publish in the future.
Co-authorship network of co-authors of Hyunjae Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hyunjae Kim. A scholar is included among the top collaborators of Hyunjae 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 Hyunjae Kim. Hyunjae 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 | 0 | |
| 2 | 7 | |
| 3 | 28 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 25 | |
| 11 | 27 | |
| 12 | 2 | |
| 13 | Design of Artificial Intelligence Water Level Prediction System for Prediction of River Flood | 3 |
| 14 | 47 | |
| 15 | 1 | |
| 16 | 61 | |
| 17 | 1 | |
| 18 | 23 | |
| 19 | An IP mobility management framework based on handover type differentiation and distributed location management | 0 |
| 20 | Modified Gaussian Analysis Method of the OFDM System with the Frequency Offset | 2 |
About Hyunjae Kim
Hyunjae Kim is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Medical Laboratory Technology, having authored 63 papers that have together received 790 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (13 papers), Topic Modeling (10 papers) and Air Quality and Health Impacts (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (150 citations), Atmospheric Science (178 citations) and Automotive Engineering (82 citations). Hyunjae Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jaewoo Kang, Hai-Woong Lee, Jinsoo Park, Jinhyuk Lee, Chun T. Rim, Byunghun Lee, Sang-Keun Song, Yoo-Keun Kim, Zang–Ho Shon and Sungroh Yoon. Their work appears in journals such as Advanced Materials, Advanced Energy Materials and Scientific Reports.
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.