Woojin Chang
- Economics and Econometrics top 2%
- Finance top 5%
- Management Science and Operations Research top 5%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence
- Co-authors
- Jae Wook SongJunghoon LeeMinhyuk LeeKyung Jae LeeBrani VidakovićJi Hwan ParkHasuck KimHo‐Jin Lee
- Topics
- Complex Systems and Time Series Analysis (18 papers)Stock Market Forecasting Methods (9 papers)Financial Risk and Volatility Modeling (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaManagement ScienceEuropean Journal of Operational Research
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Woojin Chang
50 papers receiving 644 citations
Peers
Comparison fields: 5 of 90
- Economics and Econometrics 399
- Finance 184
- Management Science and Operations Research 143
- Statistical and Nonlinear Physics 111
- Artificial Intelligence 68
Countries citing papers authored by Woojin Chang
This map shows the geographic impact of Woojin Chang'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 Woojin Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Woojin Chang more than expected).
Fields of papers citing papers by Woojin Chang
This network shows the impact of papers produced by Woojin Chang. 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 Woojin Chang. The network helps show where Woojin Chang may publish in the future.
Co-authorship network of co-authors of Woojin Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Woojin Chang. A scholar is included among the top collaborators of Woojin Chang 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 Woojin Chang. Woojin Chang 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 | 1 | |
| 3 | 9 | |
| 4 | 38 | |
| 5 | 5 | |
| 6 | 43 | |
| 7 | 8 | |
| 8 | 10 | |
| 9 | 13 | |
| 10 | 25 | |
| 11 | 18 | |
| 12 | 5 | |
| 13 | 13 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | The Impact of Financial Support System on Technology Innovation: A Case of Technology Guarantee System in Korea | 11 |
| 17 | A study on the relationship between the number of ownership classification and the firm value using KOSPI200 companies | 1 |
| 18 | Performance Analysis of a Sleep Mode Operation in the IEEE 802.16e Wireless MAN with M/G/1 Multiple Vacations Model | 1 |
| 19 | Forecasting the Results of Soccer Matches Using Poisson Model | 1 |
| 20 | 3 |
About Woojin Chang
Woojin Chang is a scholar working on Finance, Management Science and Operations Research and Economics and Econometrics, having authored 55 papers that have together received 686 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (18 papers), Stock Market Forecasting Methods (9 papers) and Financial Risk and Volatility Modeling (9 papers). The work is most often cited by research in Finance (184 citations), Economics and Econometrics (399 citations) and Management Science and Operations Research (143 citations). Woojin Chang has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Jae Wook Song, Junghoon Lee, Minhyuk Lee, Kyung Jae Lee, Brani Vidaković, Ji Hwan Park, Hasuck Kim, Ho‐Jin Lee, Kwiseok Kwon and Suk Joo Bae. Their work appears in journals such as SHILAP Revista de lepidopterología, Management Science and European Journal of Operational Research.
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.