Woojin Chang

943 total citations
55 papers, 686 citations indexed

About

Woojin Chang is a scholar working on Economics and Econometrics, Management Science and Operations Research and Finance. According to data from OpenAlex, Woojin Chang has authored 55 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Economics and Econometrics, 15 papers in Management Science and Operations Research and 14 papers in Finance. Recurrent topics in Woojin Chang's work include Complex Systems and Time Series Analysis (18 papers), Stock Market Forecasting Methods (9 papers) and Financial Risk and Volatility Modeling (9 papers). Woojin Chang is often cited by papers focused on Complex Systems and Time Series Analysis (18 papers), Stock Market Forecasting Methods (9 papers) and Financial Risk and Volatility Modeling (9 papers). Woojin Chang collaborates with scholars based in South Korea, United States and Canada. Woojin Chang's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Management Science and European Journal of Operational Research.

In The Last Decade

Woojin Chang

50 papers receiving 644 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Woojin Chang South Korea 14 399 184 143 111 68 55 686
Germán G. Creamer United States 12 247 0.6× 112 0.6× 217 1.5× 72 0.6× 143 2.1× 51 655
Tiejun Ma United Kingdom 9 138 0.3× 99 0.5× 206 1.4× 38 0.3× 106 1.6× 37 495
Jianmin He China 13 339 0.8× 222 1.2× 107 0.7× 56 0.5× 27 0.4× 56 573
Luca Vincenzo Ballestra Italy 19 219 0.5× 377 2.0× 83 0.6× 64 0.6× 41 0.6× 73 1.1k
Steve Y. Yang United States 16 390 1.0× 443 2.4× 428 3.0× 36 0.3× 145 2.1× 59 811
Sheri M. Markose United Kingdom 14 324 0.8× 330 1.8× 94 0.7× 30 0.3× 43 0.6× 44 628
Thomas Lux Germany 18 858 2.2× 578 3.1× 170 1.2× 109 1.0× 38 0.6× 54 1.1k
Agostino Capponi United States 15 316 0.8× 600 3.3× 149 1.0× 17 0.2× 52 0.8× 99 918
Nuno Oliveira Portugal 8 172 0.4× 172 0.9× 291 2.0× 32 0.3× 251 3.7× 18 609
Matthew Dixon United States 10 127 0.3× 108 0.6× 156 1.1× 14 0.1× 91 1.3× 42 426

Countries citing papers authored by Woojin Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Chang, Woojin, et al.. (2025). Forecasting realized volatility using deep learning quantile function. Applied Soft Computing. 175. 113016–113016.
2.
Chang, Woojin, et al.. (2024). NQF-RNN: probabilistic forecasting via neural quantile function-based recurrent neural networks. Applied Intelligence. 55(3). 1 indexed citations
3.
Lee, Changju, et al.. (2020). Fractal structure in the S&P500: A correlation-based threshold network approach. Chaos Solitons & Fractals. 137. 109848–109848. 9 indexed citations
4.
Chang, Woojin, et al.. (2019). Cluster analysis on the structure of the cryptocurrency market via Bitcoin–Ethereum filtering. Physica A Statistical Mechanics and its Applications. 527. 121339–121339. 38 indexed citations
5.
Lee, Changju, et al.. (2019). Explaining future market return and evaluating market condition with common preferred spread index. Physica A Statistical Mechanics and its Applications. 525. 921–934. 5 indexed citations
6.
Lee, Minhyuk, Jae Wook Song, Ji Hwan Park, & Woojin Chang. (2017). Asymmetric multi-fractality in the U.S. stock indices using index-based model of A-MFDFA. Chaos Solitons & Fractals. 97. 28–38. 43 indexed citations
7.
Song, Jae Wook, et al.. (2017). Analyzing systemic risk using non-linear marginal expected shortfall and its minimum spanning tree. Physica A Statistical Mechanics and its Applications. 491. 289–304. 10 indexed citations
8.
Song, Jae Wook, et al.. (2017). Crash forecasting in the Korean stock market based on the log-periodic structure and pattern recognition. Physica A Statistical Mechanics and its Applications. 492. 308–323. 8 indexed citations
9.
Chang, Woojin, et al.. (2016). Clustering stocks using partial correlation coefficients. Physica A Statistical Mechanics and its Applications. 462. 410–420. 25 indexed citations
10.
Song, Jae Wook, et al.. (2016). Time-varying causal network of the Korean financial system based on firm-specific risk premiums. Physica A Statistical Mechanics and its Applications. 458. 287–302. 18 indexed citations
11.
Lee, Ho‐Jin, Jae Wook Song, & Woojin Chang. (2016). Multifractal Value at Risk model. Physica A Statistical Mechanics and its Applications. 451. 113–122. 13 indexed citations
12.
Lee, Kichun, et al.. (2016). Characterizing exons and introns by regularity of nucleotide strings. Biology Direct. 11(1). 6–6. 5 indexed citations
13.
Lee, Ho‐Jin & Woojin Chang. (2014). Multifractal regime detecting method for financial time series. Chaos Solitons & Fractals. 70. 117–129. 13 indexed citations
14.
Chang, Woojin, et al.. (2012). Stress-reducing preventive maintenance model for a unit under stressful environment. Reliability Engineering & System Safety. 108. 42–48. 7 indexed citations
15.
Park, Sungsik, et al.. (2011). An empirical study of the structure of relevant keywords in a search engine using the minimum spanning tree. Expert Systems with Applications. 39(4). 4432–4443. 5 indexed citations
16.
Chang, Woojin, et al.. (2008). A study on the relationship between the number of ownership classification and the firm value using KOSPI200 companies. 대한산업공학회 추계학술대회 논문집. 702–709. 1 indexed citations
17.
Chang, Woojin, et al.. (2008). The Impact of Financial Support System on Technology Innovation: A Case of Technology Guarantee System in Korea. SHILAP Revista de lepidopterología. 11 indexed citations
18.
Chang, Woojin, et al.. (2007). Performance Analysis of a Sleep Mode Operation in the IEEE 802.16e Wireless MAN with M/G/1 Multiple Vacations Model. Journal of the Korean Operations Research and Management Science Society. 32(4). 89–99. 1 indexed citations
19.
Chang, Woojin, et al.. (2007). Forecasting the Results of Soccer Matches Using Poisson Model. 20(2). 133–141. 1 indexed citations
20.
Chang, Woojin, Seong‐Hee Kim, & Brani Vidaković. (2003). Wavelet‐based estimation of a discriminant function. Applied Stochastic Models in Business and Industry. 19(3). 185–198. 5 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Germán G. Creamer Breakdown of academic impact, for papers by Tiejun Ma Breakdown of academic impact, for papers by Jianmin He Breakdown of academic impact, for papers by Luca Vincenzo Ballestra Breakdown of academic impact, for papers by Steve Y. Yang Breakdown of academic impact, for papers by Sheri M. Markose Breakdown of academic impact, for papers by Thomas Lux Breakdown of academic impact, for papers by Agostino Capponi Breakdown of academic impact, for papers by Nuno Oliveira Breakdown of academic impact, for papers by Matthew Dixon
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