Sungahn Ko

990 citations
40 papers · 601 · h-index 14

Impact in

Papers in

Sungahn Ko

35 papers receiving 576 citations

Peers

Sungahn Ko
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 237
  • Transportation 66
  • Signal Processing 75
  • Human-Computer Interaction 35
  • Building and Construction 80
Replace Siyuan Liu with:
Siyuan Liu China
Timo Koskela Finland
Monika Sharma India
Haohan Wang United States
Stefan Meißner Germany
Masayuki Iwai Japan
Fangfang Zhou China
Mohammad Shamsul Arefin Bangladesh
Antonio M. Rinaldi Italy
Vaninha Vieira Brazil
Sungahn Ko relative to Siyuan Liu China Siyuan Liu's profile →
Citations per field
00.5×4.4×
Siyuan Liu · 1×
Citations per year

Countries citing papers authored by Sungahn Ko

Since Specialization
Citations

This map shows the geographic impact of Sungahn Ko'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 Sungahn Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungahn Ko more than expected).

Fields of papers citing papers by Sungahn Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sungahn Ko. 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 Sungahn Ko. The network helps show where Sungahn Ko may publish in the future.

Co-authors

The 25 scholars most cited alongside Sungahn Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sungahn Ko Line = papers co-authored together Sungahn Ko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Osteocalcin promoter-based toxic gene therapy for the treatment of osteosarcoma in experimental models.
199683
2 201974
3 201652
4 202048
5 200044
6 201133
7 201230
8
STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting.
201929
9 202224
10 201223
11 202217
12 201616
13 200115
14 201314
15 201413
16 202212
17 202110
18 20219
19 20168
20 20117

About Sungahn Ko

Sungahn Ko is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science, Signal Processing and Building and Construction, having authored 40 papers that have together received 601 indexed citations. Recurring topics across this work include Data Visualization and Analytics (20 papers), Traffic Prediction and Management Techniques (5 papers), Anomaly Detection Techniques and Applications (3 papers), Video Analysis and Summarization (3 papers), Virus-based gene therapy research (3 papers), Data Analysis with R (3 papers), Complex Network Analysis Techniques (3 papers) and Transportation Planning and Optimization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (237 citations), Transportation (66 citations), Signal Processing (75 citations), Human-Computer Interaction (35 citations) and Building and Construction (80 citations). Sungahn Ko has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include David S. Ebert, Ross Maciejewski, Seungmin Jin, Niklas Elmqvist, Chinghai Kao, Yun Jang, Bum Chul Kwon, Leland W.K. Chung, L W Chung and Toshiro Shirakawa. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, BioTechniques, IEEE Transactions on Biomedical Engineering and Gene Therapy.

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.

Explore authors with similar magnitude of impact