Minhyuk Lee

458 total citations
15 papers, 308 citations indexed

About

Minhyuk Lee is a scholar working on Economics and Econometrics, Management Science and Operations Research and Finance. According to data from OpenAlex, Minhyuk Lee has authored 15 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Economics and Econometrics, 7 papers in Management Science and Operations Research and 5 papers in Finance. Recurrent topics in Minhyuk Lee's work include Complex Systems and Time Series Analysis (8 papers), Stock Market Forecasting Methods (6 papers) and Financial Risk and Volatility Modeling (4 papers). Minhyuk Lee is often cited by papers focused on Complex Systems and Time Series Analysis (8 papers), Stock Market Forecasting Methods (6 papers) and Financial Risk and Volatility Modeling (4 papers). Minhyuk Lee collaborates with scholars based in South Korea. Minhyuk Lee's co-authors include Woojin Chang, Jae Wook Song, Wookeun Park, Junghan Kwon, Daekyum Kim, DongWook Kim, Sungho Jo, Brian Byunghyun Kang, Yong‐Lae Park and Sang-Hun Kim and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Minhyuk Lee

12 papers receiving 303 citations

Peers

Minhyuk Lee
Tianyu Zhao China
Pu Chen China
Yunwei Zhao China
Manish Agrawal India
Francesco Forte Italy
Vanraj India
Chang‐Kyu Song South Korea
Jingyu Yang China
Andreas Lamprecht Germany
Yanhui Xi China
Tianyu Zhao China
Minhyuk Lee
Citations per year, relative to Minhyuk Lee Minhyuk Lee (= 1×) peers Tianyu Zhao

Countries citing papers authored by Minhyuk Lee

Since Specialization
Citations

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

Fields of papers citing papers by Minhyuk Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minhyuk Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Minhyuk Lee. A scholar is included among the top collaborators of Minhyuk Lee 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 Minhyuk Lee. Minhyuk Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
2.
Lee, Minhyuk, et al.. (2024). Dynamic Black–Litterman Portfolios Incorporating Asymmetric Fractal Uncertainty. Fractal and Fractional. 8(11). 642–642. 2 indexed citations
3.
Lee, Minhyuk, et al.. (2024). Multifractal Analysis of the Impact of Fuel Cell Introduction in the Korean Electricity Market. Fractal and Fractional. 8(10). 573–573. 2 indexed citations
4.
Lee, Minhyuk, et al.. (2024). A comprehensive multi-task deep learning approach for predicting metabolic syndrome with genetic, nutritional, and clinical data. Scientific Reports. 14(1). 17851–17851. 6 indexed citations
5.
Lee, Minhyuk, et al.. (2023). Analyzing Asymmetric Volatility and Multifractal Behavior in Cryptocurrencies Using Capital Asset Pricing Model Filter. Fractal and Fractional. 7(1). 85–85. 3 indexed citations
6.
Lee, Minhyuk, et al.. (2023). Stock Index Forecasting Using Combined Model of Wavelet Transform LSTM and Multi-Head Attention. Korean Management Science Review. 40(2). 97–112.
7.
Lee, Minhyuk, et al.. (2022). Clustering-driven Pair Trading Portfolio Investment in Korean Stock Market. Journal of Society of Korea Industrial and Systems Engineering. 45(3). 123–130.
8.
Lee, Minhyuk, et al.. (2022). Forecasting the Volatility of the Stock Index with Deep Learning Using Asymmetric Hurst Exponents. Fractal and Fractional. 6(7). 394–394. 14 indexed citations
9.
Kim, Kyungwon, et al.. (2022). Unsupervised Change Point Detection and Trend Prediction for Financial Time-Series Using a New CUSUM-Based Approach. IEEE Access. 10. 34690–34705. 4 indexed citations
10.
Kim, Daekyum, Sang-Hun Kim, Taekyoung Kim, et al.. (2021). Review of machine learning methods in soft robotics. PLoS ONE. 16(2). e0246102–e0246102. 175 indexed citations
11.
Kim, Kyungwon & Minhyuk Lee. (2021). The Impact of the COVID-19 Pandemic on the Unpredictable Dynamics of the Cryptocurrency Market. Entropy. 23(9). 1234–1234. 15 indexed citations
12.
Lee, Minhyuk, et al.. (2019). Instance-based entropy fuzzy support vector machine for imbalanced data. Pattern Analysis and Applications. 23(3). 1183–1202. 10 indexed citations
13.
Song, Jae Wook, et al.. (2019). Estimation and Forecasting of Sovereign Credit Rating Migration Based on Regime Switching Markov Chain. IEEE Access. 7. 115317–115330. 5 indexed citations
14.
Lee, Minhyuk, et al.. (2018). Asymmetric market efficiency using the index-based asymmetric-MFDFA. Physica A Statistical Mechanics and its Applications. 512. 1278–1294. 29 indexed citations
15.
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

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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2026