Seungmin Jin
- Building and Construction top 10%
- Transportation top 10%
- Computer Vision and Pattern Recognition
- Signal Processing
- Control and Systems Engineering
- Co-authors
- Sungahn KoDavid S. EbertNazar BeknazarovMaria PoptsovaRoss MaciejewskiJaegul ChooKihwan KimHyojin Bahng
- Topics
- Traffic Prediction and Management Techniques (4 papers)Data Visualization and Analytics (3 papers)Time Series Analysis and Forecasting (2 papers)
- Journals
- Scientific ReportsJournal of the Association for Information SystemsIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- South KoreaRussiaUnited States
In The Last Decade
Seungmin Jin
8 papers receiving 161 citations
Peers
Comparison fields: 5 of 59
- Building and Construction 65
- Transportation 55
- Computer Vision and Pattern Recognition 46
- Signal Processing 30
- Control and Systems Engineering 26
Countries citing papers authored by Seungmin Jin
This map shows the geographic impact of Seungmin Jin'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 Seungmin Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungmin Jin more than expected).
Fields of papers citing papers by Seungmin Jin
This network shows the impact of papers produced by Seungmin Jin. 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 Seungmin Jin. The network helps show where Seungmin Jin may publish in the future.
Co-authorship network of co-authors of Seungmin Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Seungmin Jin. A scholar is included among the top collaborators of Seungmin Jin 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 Seungmin Jin. Seungmin Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 12 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 29 | |
| 6 | STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting. | 27 |
| 7 | 69 | |
| 8 | Cryptoeconomics: Data Application for Token Sales Analysis | 11 |
About Seungmin Jin
Seungmin Jin is a scholar working on Transportation, Building and Construction and Signal Processing, having authored 8 papers that have together received 173 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (4 papers), Data Visualization and Analytics (3 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Transportation (55 citations), Building and Construction (65 citations) and Signal Processing (30 citations). Seungmin Jin has collaborated with scholars based in South Korea, Russia and United States. Frequent co-authors include Sungahn Ko, David S. Ebert, Nazar Beknazarov, Maria Poptsova, Ross Maciejewski, Jaegul Choo, Kihwan Kim, Hyojin Bahng, Jongeun Lee and Tae-Hwan Kim. Their work appears in journals such as Scientific Reports, Journal of the Association for Information Systems and IEEE Transactions on Visualization and Computer Graphics.
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.