Jang‐Sik Park
About
In The Last Decade
Jang‐Sik Park
63 papers receiving 408 citations
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 174
- Artificial Intelligence 81
- Mechanical Engineering 61
- Archeology 52
- Safety, Risk, Reliability and Quality 45
Countries citing papers authored by Jang‐Sik Park
This map shows the geographic impact of Jang‐Sik Park'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 Jang‐Sik Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jang‐Sik Park more than expected).
Fields of papers citing papers by Jang‐Sik Park
This network shows the impact of papers produced by Jang‐Sik Park. 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 Jang‐Sik Park. The network helps show where Jang‐Sik Park may publish in the future.
Co-authorship network of co-authors of Jang‐Sik Park
This figure shows the co-authorship network connecting the top 25 collaborators of Jang‐Sik Park. A scholar is included among the top collaborators of Jang‐Sik Park 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 Jang‐Sik Park. Jang‐Sik Park 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 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | Video Based License Plate Recognition of Moving Vehicles Using Convolutional Neural Network | 3 |
| 7 | Recognition of Single-Land Countries on Outline Images by Using BAS Feature | 1 |
| 8 | Water flow Detection Using Deep Convolutional Encoder-decoder Architecture | 1 |
| 9 | Clustering for Electronic Warfare Information | 3 |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | Design of automatic tension control device for a vibrating wire sensor | 1 |
| 17 | 2 | |
| 18 | Gaussian Mixture Model Based Smoke Detection Algorithm Robust to Lights Variations | 2 |
| 19 | A Real Time Singing Voice Removal System Using DSP and Multichannel Audio Interface 2 | 3 |
| 20 | 5 |
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.