Sunghwan Kim

751 total citations
40 papers, 455 citations indexed

About

Sunghwan Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Sunghwan Kim has authored 40 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 8 papers in Molecular Biology. Recurrent topics in Sunghwan Kim's work include Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (8 papers) and Adversarial Robustness in Machine Learning (4 papers). Sunghwan Kim is often cited by papers focused on Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (8 papers) and Adversarial Robustness in Machine Learning (4 papers). Sunghwan Kim collaborates with scholars based in South Korea, United States and China. Sunghwan Kim's 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 and has published in prestigious journals such as Bioinformatics, IEEE Access and Journal of Environmental Management.

In The Last Decade

Sunghwan Kim

37 papers receiving 442 citations

Peers

Sunghwan Kim
Comparison fields: 5 of 121
  • Molecular Biology 167
  • Artificial Intelligence 73
  • Computer Vision and Pattern Recognition 65
  • Genetics 60
  • Water Science and Technology 42
Replace Md Ashad Alam with:
Md Ashad Alam United States
Aleksander Jankowski Poland
Shuai Jiang China
Ulrich Lang Germany
Yun Deng China
Yue Yao China
Kyukwang Kim South Korea
Ruiyang Liu China
Dingsheng Liu China
Jianpeng Zhou China
Md Ashad Alam United States View profile →
Citations per field, relative to Sunghwan Kim
Sunghwan Kim · 1×
Citations per year, relative to Sunghwan Kim
Sunghwan Kim · 1×

Countries citing papers authored by Sunghwan Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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