Churn‐Jung Liau

2.2k total citations
90 papers, 1.2k citations indexed

About

Churn‐Jung Liau is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Churn‐Jung Liau has authored 90 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 51 papers in Computational Theory and Mathematics and 22 papers in Information Systems. Recurrent topics in Churn‐Jung Liau's work include Rough Sets and Fuzzy Logic (34 papers), Logic, Reasoning, and Knowledge (29 papers) and Advanced Algebra and Logic (23 papers). Churn‐Jung Liau is often cited by papers focused on Rough Sets and Fuzzy Logic (34 papers), Logic, Reasoning, and Knowledge (29 papers) and Advanced Algebra and Logic (23 papers). Churn‐Jung Liau collaborates with scholars based in Taiwan, United States and Canada. Churn‐Jung Liau's co-authors include Tuan-Fang Fan, Shyi‐Ming Chen, Duen‐Ren Liu, Yu‐Chuan Chang, Tsan‐sheng Hsu, Dawei Wang, Tian-Wei Sheu, Szu‐Wei Yang, Hone‐Jay Chu and Janusz Kacprzyk and has published in prestigious journals such as PLoS ONE, European Journal of Operational Research and Atmospheric Environment.

In The Last Decade

Churn‐Jung Liau

87 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
Churn‐Jung Liau Taiwan 19 680 381 274 241 101 90 1.2k
Jun-Lin Lin Taiwan 17 421 0.6× 134 0.4× 162 0.6× 231 1.0× 84 0.8× 42 813
Bernadette Bouchon‐Meunier France 19 730 1.1× 417 1.1× 119 0.4× 559 2.3× 109 1.1× 101 1.4k
Jonathan Lawry United Kingdom 23 875 1.3× 608 1.6× 133 0.5× 693 2.9× 110 1.1× 113 1.6k
Anne-Laure Jousselme Canada 16 1.1k 1.6× 335 0.9× 180 0.7× 746 3.1× 178 1.8× 83 1.9k
Lidong Wang China 15 335 0.5× 138 0.4× 157 0.6× 220 0.9× 72 0.7× 88 995
Zhiwei Ni China 22 452 0.7× 192 0.5× 532 1.9× 445 1.8× 156 1.5× 102 1.6k
Liguo Fei China 25 582 0.9× 308 0.8× 113 0.4× 888 3.7× 273 2.7× 57 1.7k
Zied Elouedi Tunisia 15 518 0.8× 181 0.5× 195 0.7× 183 0.8× 51 0.5× 64 883
Catherine K. Murphy United States 4 411 0.6× 186 0.5× 108 0.4× 366 1.5× 129 1.3× 7 817
Davide Ciucci Italy 25 722 1.1× 992 2.6× 338 1.2× 451 1.9× 66 0.7× 86 1.4k

Countries citing papers authored by Churn‐Jung Liau

Since Specialization
Citations

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

Fields of papers citing papers by Churn‐Jung Liau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Churn‐Jung Liau

This figure shows the co-authorship network connecting the top 25 collaborators of Churn‐Jung Liau. A scholar is included among the top collaborators of Churn‐Jung Liau 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 Churn‐Jung Liau. Churn‐Jung Liau 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.
Lin, Chun-Yu & Churn‐Jung Liau. (2023). An Inductive Construction for Many-Valued Coalgebraic Modal Logic. 7. 36–41. 1 indexed citations
3.
Lin, Yi‐Chung, et al.. (2015). Designing a Tag-Based Statistical Math Word Problem Solver with Reasoning and Explanation. International Conference on Computational Linguistics. 20(2). 58–63. 8 indexed citations
4.
Fan, Tuan-Fang & Churn‐Jung Liau. (2015). A logic for reasoning about justified uncertain beliefs. International Conference on Artificial Intelligence. 2948–2954. 6 indexed citations
5.
Liau, Churn‐Jung, et al.. (2013). Variable consistency and variable precision models for dominance-based fuzzy rough set analysis of possibilistic information systems. International Journal of General Systems. 42(6). 659–686. 3 indexed citations
6.
Fan, Tuan-Fang, Churn‐Jung Liau, & Duen‐Ren Liu. (2012). Variable precision fuzzy rough set based on relative cardinality. Federated Conference on Computer Science and Information Systems. 43–47. 2 indexed citations
7.
Chu, Hone‐Jay, Chuan‐Yao Lin, Churn‐Jung Liau, & Yen‐Lien Kuo. (2012). Identifying controlling factors of ground-level ozone levels over southwestern Taiwan using a decision tree. Atmospheric Environment. 60. 142–152. 18 indexed citations
8.
Fan, Tuan-Fang, Churn‐Jung Liau, & Duen‐Ren Liu. (2011). Dominance-based fuzzy rough set analysis of uncertain and possibilistic data tables. International Journal of Approximate Reasoning. 52(9). 1283–1297. 33 indexed citations
9.
Liau, Churn‐Jung, et al.. (2009). Dominance-based Rough Set Analysis of Uncertain Data Tables. European Society for Fuzzy Logic and Technology Conference. 294–299. 2 indexed citations
10.
Liau, Churn‐Jung. (2007). On Rough Terminological Logics. 1 indexed citations
11.
Chang, Yu‐Chuan, Shyi‐Ming Chen, & Churn‐Jung Liau. (2006). A New Linear Classifier for Multilabel Text Categorization. 2006. 1020–1025. 1 indexed citations
12.
Liau, Churn‐Jung & Tuan-Fang Fan. (2005). A modal logic for reasoning about possibilistic belief fusion. International Joint Conference on Artificial Intelligence. 44(4). 1756–1757. 1 indexed citations
13.
Lin, Tsau Young, Setsuo Ohsuga, Churn‐Jung Liau, Xiaohua Hu, & Shusaku Tsumoto. (2005). Foundations of Data Mining and Knowledge Discovery (Studies in Computational Intelligence) (Studies in Computational Intelligence). Springer eBooks. 1 indexed citations
14.
Lin, Tsau Young, Setsuo Ohsuga, Churn‐Jung Liau, & Xiaohua Hu. (2005). Foundations and Novel Approaches in Data Mining (Studies in Computational Intelligence). Springer eBooks. 6 indexed citations
15.
Liau, Churn‐Jung. (2003). Belief, information acquisition, and trust in multi-agent systems—A modal logic formulation. Artificial Intelligence. 149(1). 31–60. 68 indexed citations
16.
Liau, Churn‐Jung. (2002). Hybrid logic for possibilistic reasoning. 3. 1523–1528. 2 indexed citations
17.
Liau, Churn‐Jung. (2000). Logical systems for reasoning about multi-agent belief, information acquisition and trust. European Conference on Artificial Intelligence. 368–372. 1 indexed citations
18.
Liau, Churn‐Jung. (1998). A logic for reasoning about action, preference, and commitment. European Conference on Artificial Intelligence. 552–556. 4 indexed citations
19.
Liau, Churn‐Jung. (1994). Representing priorities of defaults in possibility theory. 1280–1284 vol.2. 1 indexed citations
20.
Liau, Churn‐Jung, et al.. (1992). Quantitative modal logic and possibilistic reasoning. European Conference on Artificial Intelligence. 43–47. 14 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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