Jae‐Suk Yang

1.9k total citations
91 papers, 1.3k citations indexed

About

Jae‐Suk Yang is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics and Management Science and Operations Research. According to data from OpenAlex, Jae‐Suk Yang has authored 91 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Economics and Econometrics, 21 papers in Statistical and Nonlinear Physics and 14 papers in Management Science and Operations Research. Recurrent topics in Jae‐Suk Yang's work include Complex Systems and Time Series Analysis (20 papers), Complex Network Analysis Techniques (13 papers) and Theoretical and Computational Physics (9 papers). Jae‐Suk Yang is often cited by papers focused on Complex Systems and Time Series Analysis (20 papers), Complex Network Analysis Techniques (13 papers) and Theoretical and Computational Physics (9 papers). Jae‐Suk Yang collaborates with scholars based in South Korea, United States and United Kingdom. Jae‐Suk Yang's co-authors include Okyu Kwon, Woo‐Sung Jung, Bruce Kogut, H. Eugene Stanley, Alexander M. Petersen, K.-I. Goh, Jerry W. Kim, Taisei Kaizoji, Gunn Kim and Woo Seok Choi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

Jae‐Suk Yang

85 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jae‐Suk Yang 617 331 156 142 131 91 1.3k
Woo‐Sung Jung 1.4k 2.3× 435 1.3× 157 1.0× 131 0.9× 447 3.4× 82 2.5k
Fabio Caccioli 795 1.3× 323 1.0× 89 0.6× 73 0.5× 781 6.0× 72 1.6k
Antti Kanto 664 1.1× 344 1.0× 126 0.8× 53 0.4× 315 2.4× 36 1.3k
Roy Cerqueti 728 1.2× 111 0.3× 161 1.0× 190 1.3× 314 2.4× 158 1.5k
Yougui Wang 341 0.6× 268 0.8× 50 0.3× 32 0.2× 111 0.8× 58 865
Andreia Dionísio 790 1.3× 121 0.4× 132 0.8× 65 0.5× 385 2.9× 83 1.2k
Michele Tumminello 1.4k 2.2× 893 2.7× 194 1.2× 32 0.2× 579 4.4× 60 2.2k
Linda Ponta 576 0.9× 66 0.2× 153 1.0× 145 1.0× 170 1.3× 43 918
Antonios Garas 478 0.8× 644 1.9× 65 0.4× 47 0.3× 70 0.5× 31 1.3k

Countries citing papers authored by Jae‐Suk Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Suk Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Suk Yang. 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 Jae‐Suk Yang. The network helps show where Jae‐Suk Yang may publish in the future.

Co-authorship network of co-authors of Jae‐Suk Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Suk Yang. A scholar is included among the top collaborators of Jae‐Suk Yang 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 Jae‐Suk Yang. Jae‐Suk Yang 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.
Yang, Jae‐Suk, et al.. (2025). Mitigating safety challenges in human-robot collaboration: The role of human competence. Technological Forecasting and Social Change. 213. 124022–124022. 1 indexed citations
2.
Yang, Jae‐Suk, et al.. (2025). The portfolio effect in the power sector of economies prioritizing renewable energy. Energy Policy. 208. 114934–114934. 1 indexed citations
3.
Yang, Jae‐Suk, et al.. (2025). Finding the right balance: The impact of individual autonomy on balancing exploration and exploitation. Journal of Business Research. 198. 115483–115483. 1 indexed citations
4.
Yang, Jae‐Suk, et al.. (2025). Predicting renewable energy stock volatility: A GARCH-CNN approach with indicator analysis. Renewable Energy. 256. 124296–124296.
5.
Yang, Jae‐Suk, et al.. (2024). Universalism and particularism in the recommendations of the nobel prize for science. Scientometrics. 129(2). 847–868. 1 indexed citations
6.
Yang, Jae‐Suk, et al.. (2024). Machine learning models based on bubble analysis for Bitcoin market crash prediction. Engineering Applications of Artificial Intelligence. 135. 108857–108857. 6 indexed citations
7.
Yang, Jae‐Suk, et al.. (2023). Environmental policy and the evolution of nuclear trade network: Insights from the European Union. Structural Change and Economic Dynamics. 68. 425–432. 10 indexed citations
8.
Yang, Jae‐Suk, et al.. (2023). Developments and challenges of foresight evaluation: Review of the past 30 years of research. Futures. 155. 103291–103291. 11 indexed citations
9.
Lee, Kyoung-Mi & Jae‐Suk Yang. (2023). R&D cooperation in collaborative consumption of research equipment: An ERGM approach. Social Networks. 74. 118–126. 1 indexed citations
10.
Yang, Jae‐Suk, et al.. (2023). Machine learning modeling to forecast uncertainty between capital sudden stop and boom. Expert Systems with Applications. 237. 121662–121662. 4 indexed citations
11.
Park, Sung Jae, et al.. (2023). Calculating the country risk embedded in treaty-shopping networks. Technological Forecasting and Social Change. 189. 122354–122354. 2 indexed citations
12.
Yang, Jae‐Suk, et al.. (2023). How allocation of resources and attention aids in pursuing multiple organizational goals. Computational and Mathematical Organization Theory. 30(1). 101–125. 2 indexed citations
13.
Yang, Jae‐Suk, et al.. (2023). Structural factors affecting global trends towards isolationism and expansionism – A BERGM analysis. Global Networks. 24(1). 2 indexed citations
14.
Yang, Jae‐Suk, et al.. (2022). Interpretable deep learning LSTM model for intelligent economic decision-making. Knowledge-Based Systems. 248. 108907–108907. 46 indexed citations
15.
Yang, Jae‐Suk, Michael Fredericson, & Jang‐Hwan Choi. (2020). The effect of patellofemoral pain syndrome on patellofemoral joint kinematics under upright weight-bearing conditions. PLoS ONE. 15(9). e0239907–e0239907. 6 indexed citations
16.
Choi, Woo Seok, In‐Soo Shin, & Jae‐Suk Yang. (2019). Understanding Moderators of Home Blood Pressure Telemonitoring Systems in Urban Hypertensive Patients: A Systematic Review and Meta-Analysis. Telemedicine Journal and e-Health. 26(8). 1016–1034. 5 indexed citations
17.
Choi, Woo Seok, Jin Hyuk Choi, Jiwon Oh, In‐Soo Shin, & Jae‐Suk Yang. (2019). Effects of Remote Monitoring of Blood Pressure in Management of Urban Hypertensive Patients: A Systematic Review and Meta-Analysis. Telemedicine Journal and e-Health. 26(6). 744–759. 16 indexed citations
18.
Yang, Jae‐Suk, et al.. (2009). Agent-Based Approach for Revitalization Strategy of Knowledge Ecosystem(Cross-disciplinary physics and related areas of science and technology). Journal of the Physical Society of Japan. 78(3). 1 indexed citations
19.
Yang, Jae‐Suk, Jung-Kyoo Choi, & Hang-Hyun Jo. (2008). The Coevolution of Cooperation and Trait Distinction. 1(1). 5–13. 1 indexed citations
20.
Jung, Woo‐Sung, et al.. (2006). Temporal Evolution of the Return Distribution in the Korean Stock Market. Journal of the Korean Physical Society. 48(2). 313–317. 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.

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