Sunghwan Kim
- Molecular Biology
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Genetics
- Water Science and Technology
- Co-authors
- Ja‐Yong KooGeorge C. TsengYongseok ParkHyun KwonChien‐Wei LinJae-Ki ShinZhiguang HuoYongeun Park
- Topics
- Gene expression and cancer classification (8 papers)Bioinformatics and Genomic Networks (8 papers)Adversarial Robustness in Machine Learning (4 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Sunghwan Kim
37 papers receiving 442 citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 167
- Artificial Intelligence 73
- Computer Vision and Pattern Recognition 65
- Genetics 60
- Water Science and Technology 42
Countries citing papers authored by Sunghwan Kim
This map shows the geographic impact of Sunghwan 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 Sunghwan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunghwan Kim more than expected).
Fields of papers citing papers by Sunghwan Kim
This network shows the impact of papers produced by Sunghwan 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 Sunghwan Kim. The network helps show where Sunghwan Kim may publish in the future.
Co-authorship network of co-authors of Sunghwan Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sunghwan Kim. A scholar is included among the top collaborators of Sunghwan 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 Sunghwan Kim. Sunghwan 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 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 14 | |
| 10 | 15 | |
| 11 | 62 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 96 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 24 | |
| 18 | 23 | |
| 19 | 2 | |
| 20 | A Text-Secure Searching Method Using the First Phonemes in Korean Documents | 1 |
About Sunghwan Kim
Sunghwan Kim is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 40 papers that have together received 455 indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (8 papers) and Adversarial Robustness in Machine Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (65 citations), Water Science and Technology (42 citations) and Cancer Research (42 citations). Sunghwan Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Ja‐Yong Koo, George C. Tseng, Yongseok Park, Hyun Kwon, Chien‐Wei Lin, Jae-Ki Shin, Zhiguang Huo, Yongeun Park, Kangmin Chon and Sang‐Soo Baek. Their work appears in journals such as Bioinformatics, IEEE Access and Journal of Environmental Management.
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.