Kyong Joo Oh

1.6k total citations
71 papers, 1.2k citations indexed

About

Kyong Joo Oh is a scholar working on Management Science and Operations Research, Economics and Econometrics and Finance. According to data from OpenAlex, Kyong Joo Oh has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Management Science and Operations Research, 22 papers in Economics and Econometrics and 20 papers in Finance. Recurrent topics in Kyong Joo Oh's work include Stock Market Forecasting Methods (36 papers), Complex Systems and Time Series Analysis (16 papers) and Forecasting Techniques and Applications (13 papers). Kyong Joo Oh is often cited by papers focused on Stock Market Forecasting Methods (36 papers), Complex Systems and Time Series Analysis (16 papers) and Forecasting Techniques and Applications (13 papers). Kyong Joo Oh collaborates with scholars based in South Korea and United States. Kyong Joo Oh's co-authors include Tae Yoon Kim, Jae Joon Ahn, Chiho Kim, Hee Soo Lee, Dong Ha Kim, Wanki Kim, Sangjae Lee, Young‐Min Kim, Suk Jun Lee and Sung-Hwan Min and has published in prestigious journals such as Expert Systems with Applications, Technological Forecasting and Social Change and Sustainability.

In The Last Decade

Kyong Joo Oh

64 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyong Joo Oh South Korea 20 563 346 256 207 171 71 1.2k
Baabak Ashuri United States 26 879 1.6× 330 1.0× 206 0.8× 130 0.6× 109 0.6× 132 2.1k
Mark T. Leung United States 15 910 1.6× 491 1.4× 273 1.1× 319 1.5× 366 2.1× 32 1.4k
Georgios Sermpinis United Kingdom 18 554 1.0× 433 1.3× 271 1.1× 221 1.1× 170 1.0× 60 990
Théophilos Papadimitriou Greece 16 245 0.4× 445 1.3× 181 0.7× 127 0.6× 127 0.7× 96 979
George S. Atsalakis Greece 11 980 1.7× 617 1.8× 261 1.0× 289 1.4× 357 2.1× 22 1.3k
Thomas Fischer Germany 7 1.1k 1.9× 506 1.5× 426 1.7× 287 1.4× 470 2.7× 16 1.6k
Gülgün Kayakutlu Türkiye 20 622 1.1× 261 0.8× 114 0.4× 223 1.1× 456 2.7× 56 1.4k
Francisco Guijarro Spain 21 588 1.0× 493 1.4× 286 1.1× 93 0.4× 70 0.4× 67 1.1k
Akbar Esfahanipour Iran 14 539 1.0× 180 0.5× 141 0.6× 148 0.7× 116 0.7× 51 1.1k
David Enke United States 22 1.4k 2.5× 705 2.0× 478 1.9× 437 2.1× 446 2.6× 70 2.1k

Countries citing papers authored by Kyong Joo Oh

Since Specialization
Citations

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

Fields of papers citing papers by Kyong Joo Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyong Joo Oh. 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 Kyong Joo Oh. The network helps show where Kyong Joo Oh may publish in the future.

Co-authorship network of co-authors of Kyong Joo Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Kyong Joo Oh. A scholar is included among the top collaborators of Kyong Joo Oh 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 Kyong Joo Oh. Kyong Joo Oh 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.
Kim, Woojung, et al.. (2025). Prediction of index futures movement using TimeGAN and 3D-CNN: Empirical evidence from Korea and the United States. Applied Soft Computing. 171. 112748–112748. 1 indexed citations
2.
3.
Oh, Kyong Joo, et al.. (2020). Forecasting the KOSPI 200 Stock Index Based on LSTM Autoencoder. 39(2). 101–109. 1 indexed citations
4.
KANG, J., Hyun Jun Lee, Seunghwan Jeong, et al.. (2020). Developing a Forecasting Model for Real Estate Auction Prices Using Artificial Intelligence. Sustainability. 12(7). 2899–2899. 48 indexed citations
5.
Lee, Hee Soo, et al.. (2020). Asset Allocation Model for a Robo-Advisor Using the Financial Market Instability Index and Genetic Algorithms. Sustainability. 12(3). 849–849. 17 indexed citations
6.
Oh, Kyong Joo, et al.. (2017). Analysis of intraday price momentum effect based on patterns using dynamic time warping. Journal of the Korean Data and Information Science Society. 28(4). 819–829. 1 indexed citations
7.
Baek, Seungho, et al.. (2015). Using a principal component analysis for multi-currencies-trading in the foreign exchange market. Intelligent Data Analysis. 19(3). 683–697. 2 indexed citations
8.
Kim, Young Min, et al.. (2015). Intelligent stock market instability index: Application to the Korean stock market. Intelligent Data Analysis. 19(4). 879–895. 3 indexed citations
9.
Oh, Kyong Joo, et al.. (2013). An intelligent early warning system for forecasting abnormal investment trends of foreign investors. Journal of the Korean Data and Information Science Society. 24(2). 223–233. 1 indexed citations
10.
Oh, Kyong Joo, et al.. (2011). Finding the optimal frequency for trade and development of system trading strategies in futures market using dynamic time warping. 22(2). 255–267. 1 indexed citations
11.
Ahn, Hyunchul, et al.. (2011). A novel customer scoring model to encourage the use of mobile value added services. Expert Systems with Applications. 38(9). 11693–11700. 5 indexed citations
12.
Oh, Kyong Joo, et al.. (2010). Using factor analysis to develop verification process of IT emerging technologies. 696–702. 1 indexed citations
13.
Kim, Wanki, et al.. (2010). The dual analytic hierarchy process to prioritize emerging technologies. Technological Forecasting and Social Change. 77(4). 566–577. 21 indexed citations
14.
15.
Oh, Kyong Joo, et al.. (2009). Stock market stability index: An intelligent approach. Intelligent Data Analysis. 13(6). 983–993. 6 indexed citations
16.
Ahn, Jae Joon, Suk Jun Lee, Kyong Joo Oh, & Tae Yoon Kim. (2009). Intelligent forecasting for financial time series subject to structural changes. Intelligent Data Analysis. 13(1). 151–163. 10 indexed citations
17.
Ahn, Jae Joon, et al.. (2007). Using Support Vector Machine to Development Early Warning System for Financial Crisis. 대한산업공학회 추계학술대회 논문집. 439–446. 2 indexed citations
18.
Oh, Kyong Joo, et al.. (2005). DEVELOPING TIME-BASED CLUSTERING NEURAL NETWORKS TO USE CHANGE-POINT DETECTION: APPLICATION TO FINANCIAL TIME SERIES. Asia Pacific Journal of Operational Research. 22(1). 51–70. 7 indexed citations
19.
Kim, Tae Yoon, et al.. (2004). Artificial neural networks for non-stationary time series. Neurocomputing. 61. 439–447. 76 indexed citations
20.
Roh, Tae Hyup, Kyong Joo Oh, & Ingoo Han. (2003). A Cluster-indexing CBR Model for Collaborative Filtering Recommendation. Journal of the Association for Information Systems. 11. 1 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 Baabak Ashuri Breakdown of academic impact, for papers by Mark T. Leung Breakdown of academic impact, for papers by Georgios Sermpinis Breakdown of academic impact, for papers by Théophilos Papadimitriou Breakdown of academic impact, for papers by George S. Atsalakis Breakdown of academic impact, for papers by Thomas Fischer Breakdown of academic impact, for papers by Gülgün Kayakutlu Breakdown of academic impact, for papers by Francisco Guijarro Breakdown of academic impact, for papers by Akbar Esfahanipour Breakdown of academic impact, for papers by David Enke
Rankless by CCL
2026