Huisu Jang

863 total citations · 1 hit paper
16 papers, 572 citations indexed

About

Huisu Jang is a scholar working on Information Systems, Management Science and Operations Research and Finance. According to data from OpenAlex, Huisu Jang has authored 16 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 5 papers in Management Science and Operations Research and 4 papers in Finance. Recurrent topics in Huisu Jang's work include Blockchain Technology Applications and Security (8 papers), Stock Market Forecasting Methods (4 papers) and Financial Markets and Investment Strategies (2 papers). Huisu Jang is often cited by papers focused on Blockchain Technology Applications and Security (8 papers), Stock Market Forecasting Methods (4 papers) and Financial Markets and Investment Strategies (2 papers). Huisu Jang collaborates with scholars based in South Korea and United States. Huisu Jang's co-authors include Jaewook Lee, Hyungjin Ko, Taeho Yoon, Junyoung Byun, Seong-Wan Park, Hyo Sang Kim, Yuri Kim, Jaewook Lee and Hyeonsang Eom and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Huisu Jang

11 papers receiving 536 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information

2017 303 citations Huisu Jang, Jaewook Lee IEEE Access profile →

Peers

Huisu Jang

IS

EE

MSOR

FINAN

AI

Haruna Isah Canada

Sheikh Mohammad Idrees Norway

Kai Zimmermann Germany

Thomas Meinl Germany

Tae Hyup Roh South Korea

Rodolfo C. Cavalcante Brazil

Bruno Miranda Henrique Brazil

Arash Bahrammirzaee France

Maria Ilaria Lunesu Italy

Haruna Isah Canada

Huisu Jang

116 ×0.3

IS

92 ×0.4

EE

295 ×1.2

MSOR

83 ×1.0

FINAN

142 ×2.0

AI

Citations per year, relative to Huisu Jang Huisu Jang (= 1×) peers Haruna Isah

Countries citing papers authored by Huisu Jang

Since Specialization

Citations

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

Fields of papers citing papers by Huisu Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huisu Jang

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Lee, Jaewook, et al.. (2025). Optimal Strategy in Blockchain Transaction Issuances with CIR Process. Computational Economics. 66(5). 4137–4159.

2.

Lee, Jaewook, et al.. (2025). Impact of EIP-4844 on Ethereum: Consensus Security, Ethereum Usage, Rollup Transaction Dynamics, and Blob Gas Fee Markets. IEEE Transactions on Network Science and Engineering. 13. 1294–1310. 1 indexed citations

3.

Jang, Huisu, et al.. (2025). A two-stage game model of probabilistic price manipulation in decentralized exchanges. Economic Modelling. 147. 107055–107055. 2 indexed citations

4.

Jang, Huisu, et al.. (2023). Unraveling the MEV enigma: ABI-free detection model using Graph Neural Networks. Future Generation Computer Systems. 153. 70–83. 4 indexed citations

5.

Jang, Huisu, et al.. (2023). A Decentralized Auction Model for Sustainable Housing Rental Market. Sustainability. 15(21). 15467–15467.

6.

Jang, Huisu, et al.. (2023). Asynchronous federated learning with directed acyclic graph-based blockchain in edge computing: Overview, design, and challenges. Expert Systems with Applications. 223. 119896–119896. 21 indexed citations

7.

Ko, Hyungjin, et al.. (2022). The economic value of NFT: Evidence from a portfolio analysis using mean–variance framework. Finance research letters. 47. 102784–102784. 90 indexed citations

8.

Park, Seong-Wan, et al.. (2022). Price co-movements in decentralized financial markets. Applied Economics Letters. 30(21). 3075–3082. 12 indexed citations

9.

Kim, Hyo Sang, et al.. (2022). Exchange Rate Predictability Based on Market Sentiments. SSRN Electronic Journal.

10.

Jang, Huisu, et al.. (2022). Economics of blockchain-based securities settlement. Research in International Business and Finance. 64. 101842–101842. 6 indexed citations

11.

Jang, Huisu, et al.. (2021). Atomic cross-chain settlement model for central banks digital currency. Information Sciences. 580. 838–856. 21 indexed citations

12.

Lee, Jaewook, et al.. (2020). A Scalable IoT Protocol via an Efficient DAG-Based Distributed Ledger Consensus. Sustainability. 12(4). 1529–1529. 17 indexed citations

13.

Jang, Huisu & Jaewook Lee. (2018). Generative Bayesian neural network model for risk-neutral pricing of American index options. Quantitative Finance. 19(4). 587–603. 28 indexed citations

14.

Jang, Huisu, et al.. (2018). Machine learning versus econometric jump models in predictability and domain adaptability of index options. Physica A Statistical Mechanics and its Applications. 513. 74–86. 12 indexed citations

15.

Lee, Jaewook, et al.. (2017). Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets. PLoS ONE. 12(11). e0188107–e0188107. 55 indexed citations

16.

Jang, Huisu & Jaewook Lee. (2017). An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information. IEEE Access. 6. 5427–5437. 303 indexed citations breakdown →

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