Mu‐Jung Huang

579 total citations
14 papers, 408 citations indexed

About

Mu‐Jung Huang is a scholar working on Artificial Intelligence, Strategy and Management and Management Science and Operations Research. According to data from OpenAlex, Mu‐Jung Huang has authored 14 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Strategy and Management and 3 papers in Management Science and Operations Research. Recurrent topics in Mu‐Jung Huang's work include Intellectual Capital and Performance Analysis (2 papers), Competitive and Knowledge Intelligence (2 papers) and Stock Market Forecasting Methods (2 papers). Mu‐Jung Huang is often cited by papers focused on Intellectual Capital and Performance Analysis (2 papers), Competitive and Knowledge Intelligence (2 papers) and Stock Market Forecasting Methods (2 papers). Mu‐Jung Huang collaborates with scholars based in Taiwan and United States. Mu‐Jung Huang's co-authors include Mu‐Yen Chen, Kaili Yieh, Pei‐Fen Wu, Kuo‐Hua Wang, Kuang-Ku Chen, Nai‐Wen Chang, Dyi‐Cheng Chen, Shih‐Ming Huang, Der‐Fa Chen and Wen‐Jye Shyr and has published in prestigious journals such as Expert Systems with Applications, Sustainability and Knowledge-Based Systems.

In The Last Decade

Mu‐Jung Huang

13 papers receiving 366 citations

Peers

Mu‐Jung Huang
Radha K. Mahapatra United States
Zhangxi Lin United States
Samer Alhawari Jordan
Deng‐Neng Chen Taiwan
Dijana Oreški Croatia
Mohd Hasan Selamat Malaysia
Yonghong Sun China
Duanning Zhou United States
David M. Steiger United States
Enric Junqué de Fortuny Belgium
Radha K. Mahapatra United States
Mu‐Jung Huang
Citations per year, relative to Mu‐Jung Huang Mu‐Jung Huang (= 1×) peers Radha K. Mahapatra

Countries citing papers authored by Mu‐Jung Huang

Since Specialization
Citations

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

Fields of papers citing papers by Mu‐Jung Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mu‐Jung Huang. 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 Mu‐Jung Huang. The network helps show where Mu‐Jung Huang may publish in the future.

Co-authorship network of co-authors of Mu‐Jung Huang

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

All Works

14 of 14 papers shown
1.
Chen, Dyi‐Cheng, et al.. (2021). Critical Success Factors to Improve the Business Performance of Tea Drink Chains. Sustainability. 13(16). 8953–8953. 6 indexed citations
2.
Huang, Mu‐Jung, et al.. (2021). Establishing a Dynamic Capital Structure Model for Company Sustainability Performance Using Data Mining Techniques. Sustainability. 13(11). 6026–6026. 1 indexed citations
3.
Huang, Mu‐Jung, et al.. (2021). Budget Participation Capacity Configuration (BPCC), Budgeting Participation Requirement and Product Innovation Performance. Sustainability. 13(10). 5614–5614. 2 indexed citations
4.
Huang, Mu‐Jung, et al.. (2021). Establishing a Multiple-Criteria Decision-Making Model for Stock Investment Decisions Using Data Mining Techniques. Sustainability. 13(6). 3100–3100. 13 indexed citations
5.
Huang, Mu‐Jung, et al.. (2013). A multi‐strategy machine learning student modeling for intelligent tutoring systems. Library Hi Tech. 31(2). 274–293. 13 indexed citations
6.
Wu, Pei‐Fen, Mu‐Jung Huang, & Nai‐Wen Chang. (2013). The Learning Experience of Fine Art by Somatosensory Game Device. 108–114. 7 indexed citations
7.
Chen, Mu‐Yen, et al.. (2008). Measuring knowledge management performance using a competitive perspective: An empirical study. Expert Systems with Applications. 36(4). 8449–8459. 127 indexed citations
8.
Huang, Mu‐Jung, Mu‐Yen Chen, & Kaili Yieh. (2007). Comparing with your main competitor: the single most important task of knowledge management performance measurement. Journal of Information Science. 33(4). 416–434. 23 indexed citations
9.
Chen, Mu‐Yen, et al.. (2007). Comparing extended classifier system and genetic programming for financial forecasting: an empirical study. Soft Computing. 11(12). 1173–1183. 10 indexed citations
10.
Huang, Mu‐Jung, et al.. (2006). Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis. Expert Systems with Applications. 32(3). 856–867. 133 indexed citations
11.
Huang, Mu‐Jung, et al.. (2006). Integrating fuzzy data mining and fuzzy artificial neural networks for discovering implicit knowledge. Knowledge-Based Systems. 19(6). 396–403. 65 indexed citations
12.
Huang, Mu‐Jung, et al.. (2002). Applying AI technology and rough set theory for mining association rules to support crime management and fire-fighting resources allocation. 65–77. 7 indexed citations
13.
Huang, Mu‐Jung & Liang Xiao. (2001). A Transferability Study of b-parameter for VIC Model. AGU Fall Meeting Abstracts. 2001.
14.
Huang, Mu‐Jung. (1997). Integrating fuzzy Hasse diagram with multistrategy learning for student modeling in intelligent tutoring systems. UMI eBooks. 1–196. 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.

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