Sangjun Park

530 total citations
47 papers, 362 citations indexed

About

Sangjun Park is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Sangjun Park has authored 47 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Sangjun Park's work include Advanced Vision and Imaging (10 papers), Video Coding and Compression Technologies (8 papers) and Advanced Image Processing Techniques (8 papers). Sangjun Park is often cited by papers focused on Advanced Vision and Imaging (10 papers), Video Coding and Compression Technologies (8 papers) and Advanced Image Processing Techniques (8 papers). Sangjun Park collaborates with scholars based in South Korea, Canada and Denmark. Sangjun Park's co-authors include Heung-No Lee, Jechang Jeong, J. Oliver, Gwanggil Jeon, Seung-Hun Park, Young Min Song, Dae-Geun Jang, Minsoo Hahn, Nam Yul Yu and S. Balamurali and has published in prestigious journals such as IEEE Transactions on Information Theory, Construction and Building Materials and Optics Express.

In The Last Decade

Sangjun Park

41 papers receiving 338 citations

Peers

Sangjun Park
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 118
  • Biomedical Engineering 107
  • Electrical and Electronic Engineering 66
  • Signal Processing 55
  • Civil and Structural Engineering 53
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Chengang Lyu China
M. Kocher Switzerland
Barmak Honarvar Shakibaei Asli United Kingdom
Liquan Dong China
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Mingxing Jiang China
Yujin Wang China
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Chengang Lyu China View profile →
Citations per field, relative to Sangjun Park
Sangjun Park · 1×
Citations per year, relative to Sangjun Park
Sangjun Park · 1×

Countries citing papers authored by Sangjun Park

Since Specialization
Citations

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

Fields of papers citing papers by Sangjun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangjun Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sangjun Park. A scholar is included among the top collaborators of Sangjun 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 Sangjun Park. Sangjun Park 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 0
2 0
3 1
4 0
5 4
6 1
7 7
8 7
9 3
10 5
11
A study on the process to create forms of digital design tools shown in freeform architecture and their attributes
1
12
Characteristics of Dental Emergency Patients at Busan Paik Hospital
6
13 58
14 1
15 8
16 0
17 4
18 16
19
Development of the Pilot Type Machine for Automation of PHC Pile Cutting Work
1
20 2

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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