Sangsung Park
- Management of Technology and Innovation top 2%
- Management Science and Operations Research top 5%
- Economics and Econometrics top 10%
- Artificial Intelligence top 10%
- Strategy and Management top 10%
- Co-authors
- Sunghae JunDong‐Sik JangJiho KangJongchan KimJu Hwan KimSeung-Joo LeeYounho SeongSung‐Chul Kim
- Topics
- Intellectual Property and Patents (40 papers)Innovation Diffusion and Forecasting (13 papers)Technology and Data Analysis (13 papers)
- Cited by
- Management of Technology and InnovationManagement Science and Operations ResearchSafety, Risk, Reliability and Quality
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Sangsung Park
65 papers receiving 622 citations
Peers
Comparison fields: 5 of 107
- Management of Technology and Innovation 263
- Management Science and Operations Research 144
- Economics and Econometrics 134
- Artificial Intelligence 130
- Strategy and Management 110
Countries citing papers authored by Sangsung Park
This map shows the geographic impact of Sangsung 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 Sangsung Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangsung Park more than expected).
Fields of papers citing papers by Sangsung Park
This network shows the impact of papers produced by Sangsung 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 Sangsung Park. The network helps show where Sangsung Park may publish in the future.
Co-authorship network of co-authors of Sangsung Park
This figure shows the co-authorship network connecting the top 25 collaborators of Sangsung Park. A scholar is included among the top collaborators of Sangsung 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 Sangsung Park. Sangsung 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 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 0 | |
| 13 | A Study on the Development of University Students Dropout Prediction Model Using Ensemble Technique | 1 |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Real-Time face detection using the Skin color and Haar-like feature | 1 |
About Sangsung Park
Sangsung Park is a scholar working on Management of Technology and Innovation, Safety, Risk, Reliability and Quality and Management Science and Operations Research, having authored 76 papers that have together received 673 indexed citations. Recurring topics across this work include Intellectual Property and Patents (40 papers), Innovation Diffusion and Forecasting (13 papers) and Technology and Data Analysis (13 papers). The work is most often cited by research in Management of Technology and Innovation (263 citations), Management Science and Operations Research (144 citations) and Safety, Risk, Reliability and Quality (68 citations). Sangsung Park has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Sunghae Jun, Dong‐Sik Jang, Jiho Kang, Jongchan Kim, Ju Hwan Kim, Seung-Joo Lee, Younho Seong, Sung‐Chul Kim, Sun Yi and Jacob Wood. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sustainability.
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.