Chun‐Che Huang

2.3k total citations · 1 hit paper
61 papers, 1.6k citations indexed

About

Chun‐Che Huang is a scholar working on Information Systems, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Chun‐Che Huang has authored 61 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 20 papers in Artificial Intelligence and 20 papers in Industrial and Manufacturing Engineering. Recurrent topics in Chun‐Che Huang's work include Rough Sets and Fuzzy Logic (16 papers), Manufacturing Process and Optimization (15 papers) and Data Mining Algorithms and Applications (10 papers). Chun‐Che Huang is often cited by papers focused on Rough Sets and Fuzzy Logic (16 papers), Manufacturing Process and Optimization (15 papers) and Data Mining Algorithms and Applications (10 papers). Chun‐Che Huang collaborates with scholars based in Taiwan, United States and Australia. Chun‐Che Huang's co-authors include Andrew Kusiak, Wen‐Yau Liang, Yu-Min Wang, Peian Wang, Tzu-Liang Tseng, Shian-Hua Lin, Chang-Xue Feng, Ching-Chin Chern, Chia‐Ming Kuo and Peigen Li and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Expert Systems with Applications and Sustainability.

In The Last Decade

Chun‐Che Huang

59 papers receiving 1.5k citations

Hit Papers

An Empirical Analysis of the Antecedents and Performance ... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun‐Che Huang Taiwan 19 510 449 314 280 259 61 1.6k
Eswaran Subrahmanian United States 27 461 0.9× 391 0.9× 534 1.7× 233 0.8× 182 0.7× 116 1.9k
Juite Wang Taiwan 21 385 0.8× 300 0.7× 150 0.5× 317 1.1× 391 1.5× 41 1.7k
J.C. Wortmann Netherlands 26 519 1.0× 786 1.8× 188 0.6× 808 2.9× 456 1.8× 131 2.4k
Lars Hvam Denmark 25 951 1.9× 843 1.9× 638 2.0× 322 1.1× 213 0.8× 155 2.1k
Yoshiki Shimomura Japan 26 1.5k 2.9× 715 1.6× 633 2.0× 218 0.8× 439 1.7× 181 2.7k
Anders Haug Denmark 22 554 1.1× 886 2.0× 350 1.1× 512 1.8× 403 1.6× 107 2.1k
Christopher Durugbo United Kingdom 26 382 0.7× 198 0.4× 145 0.5× 329 1.2× 568 2.2× 92 1.9k
Manuel E. Sosa United States 18 946 1.9× 229 0.5× 555 1.8× 149 0.5× 694 2.7× 42 2.0k
Ching‐Hung Lee China 22 343 0.7× 298 0.7× 90 0.3× 114 0.4× 193 0.7× 66 1.6k
Varghese S. Jacob United States 26 135 0.3× 230 0.5× 39 0.1× 384 1.4× 211 0.8× 81 1.7k

Countries citing papers authored by Chun‐Che Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Che Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun‐Che Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Che Huang. A scholar is included among the top collaborators of Chun‐Che 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 Chun‐Che Huang. Chun‐Che Huang 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.
Liang, Wen‐Yau, et al.. (2025). The impact of mandatory disclosure on rewarding online reviews based on S-O-R theory. Asia Pacific Journal of Marketing and Logistics. 37(8). 2500–2516. 3 indexed citations
2.
Liang, Wen‐Yau & Chun‐Che Huang. (2024). A novel hybrid algorithm considering deviation in group recommender systems. Multimedia Tools and Applications. 84(15). 14387–14406.
3.
Liang, Wen‐Yau, et al.. (2021). The effect of visualisation on user experience in recommender systems. Information Research an international electronic journal. 26(3). 3 indexed citations
4.
Huang, Chun‐Che, et al.. (2020). Identification of Opinion Leaders and Followers—A Case Study of Green Energy and Low Carbons. Applied Sciences. 10(23). 8416–8416. 7 indexed citations
5.
Tseng, Tzu-Liang, Chun‐Che Huang, Kym Fraser, & Hsien-Wei Ting. (2016). Rough set based rule induction in decision making using credible classification and preference from medical application perspective. Computer Methods and Programs in Biomedicine. 127. 273–289. 13 indexed citations
6.
Huang, Chun‐Che, et al.. (2015). Cloud-based design for disassembly to create environmentally friendly products. Journal of Intelligent Manufacturing. 28(5). 1203–1218. 20 indexed citations
7.
Lin, Shian-Hua, et al.. (2015). Rule induction for hierarchical attributes using a rough set for the selection of a green fleet. Applied Soft Computing. 37. 456–466. 8 indexed citations
8.
Huang, Chun‐Che, et al.. (2014). The rough set based approach to generic routing problems: case of reverse logistics supplier selection. Journal of Intelligent Manufacturing. 27(4). 781–795. 17 indexed citations
9.
Huang, Chun‐Che, et al.. (2010). Attribute-oriented Rule Induction Using Rough Set Theory : A Case Study of Customer Relationship Management. 2 indexed citations
10.
Tseng, Tzu-Liang, et al.. (2010). Autonomous rule induction from data with tolerances in customer relationship management. Expert Systems with Applications. 38(5). 4889–4900. 6 indexed citations
11.
Tseng, Tzu-Liang, et al.. (2009). Rule induction based on an incremental rough set. Expert Systems with Applications. 36(9). 11439–11450. 51 indexed citations
12.
Huang, Chun‐Che & Shian-Hua Lin. (2009). Sharing knowledge in a supply chain using the semantic web. Expert Systems with Applications. 37(4). 3145–3161. 42 indexed citations
13.
Liang, Wen‐Yau, et al.. (2006). The design with object (DwO) approach to Web services composition. Computer Standards & Interfaces. 29(1). 54–68. 8 indexed citations
14.
Huang, Chun‐Che, Tzu-Liang Tseng, & Andrew Kusiak. (2005). XML-Based Modeling of Corporate Memory. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 35(5). 629–640. 17 indexed citations
15.
Huang, Chun‐Che, et al.. (2005). An agent-based web services solution to collaborative product design. International Journal of Knowledge-based and Intelligent Engineering Systems. 9(2). 63–79. 6 indexed citations
16.
Liang, Wen‐Yau, et al.. (2005). Applying genetic algorithm for the development of the components-based embedded system. Computer Standards & Interfaces. 27(6). 621–635. 7 indexed citations
17.
Huang, Chun‐Che, et al.. (2005). A novel approach to lean control for Taiwan-funded enterprises in mainland China. International Journal of Production Research. 43(12). 2553–2575. 35 indexed citations
18.
Huang, Chun‐Che & Chia‐Ming Kuo. (2003). The transformation and search of semi‐structured knowledge in organizations. Journal of Knowledge Management. 7(4). 106–123. 12 indexed citations
19.
Huang, Chun‐Che. (1999). An agile approach to logical network analysis in decision support systems. Decision Support Systems. 25(1). 53–70. 17 indexed citations
20.
Kusiak, Andrew & Chun‐Che Huang. (1997). Design of modular digital circuits for testability. 20(1). 48–57. 27 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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