Chunshien Li

882 total citations
31 papers, 640 citations indexed

About

Chunshien Li is a scholar working on Artificial Intelligence, Control and Systems Engineering and Management Science and Operations Research. According to data from OpenAlex, Chunshien Li has authored 31 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 11 papers in Control and Systems Engineering and 7 papers in Management Science and Operations Research. Recurrent topics in Chunshien Li's work include Neural Networks and Applications (25 papers), Fuzzy Logic and Control Systems (22 papers) and Stock Market Forecasting Methods (6 papers). Chunshien Li is often cited by papers focused on Neural Networks and Applications (25 papers), Fuzzy Logic and Control Systems (22 papers) and Stock Market Forecasting Methods (6 papers). Chunshien Li collaborates with scholars based in Taiwan and United States. Chunshien Li's co-authors include Tai-Wei Chiang, Chun‐Yi Lee, Tsung-Han Wu, Chun‐Fei Hsu, Tsu‐Tian Lee, Chih‐Min Lin, Roland Priemer, G. Jordan Maclay, Peter J. Hesketh and Chih‐Ming Chen and has published in prestigious journals such as Expert Systems with Applications, International Journal for Numerical Methods in Engineering and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Chunshien Li

30 papers receiving 622 citations

Peers

Chunshien Li
Gang Leng United Kingdom
Pyramo Costa Brazil
Yiting Liu China
Seok-Beom Roh South Korea
Agathe Girard United Kingdom
Mohuya Chakraborty India
Hassen T. Dorrah Egypt
Jun Zhan China
Qiang Hua China
Sylvie Galichet France
Gang Leng United Kingdom
Chunshien Li
Citations per year, relative to Chunshien Li Chunshien Li (= 1×) peers Gang Leng

Countries citing papers authored by Chunshien Li

Since Specialization
Citations

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

Fields of papers citing papers by Chunshien Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunshien Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chunshien Li. A scholar is included among the top collaborators of Chunshien Li 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 Chunshien Li. Chunshien Li 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.
2.
Li, Chunshien, et al.. (2019). Multiple Function Approximation — A New Approach Using Asymmetric Complex Fuzzy Inference System. Vietnam Journal of Computer Science. 6(4). 407–422. 2 indexed citations
3.
Li, Chunshien, et al.. (2019). Multitarget prediction—A new approach using sphere complex fuzzy sets. Engineering Applications of Artificial Intelligence. 79. 45–57. 7 indexed citations
4.
Li, Chunshien. (2013). Adaptive image restoration by a novel neuro-fuzzy approach using complex fuzzy sets. International Journal of Intelligent Information and Database Systems. 7(6). 479–479. 7 indexed citations
5.
Li, Chunshien & Tai-Wei Chiang. (2012). Intelligent financial time series forecasting: A complex neuro-fuzzy approach with multi-swarm intelligence. International Journal of Applied Mathematics and Computer Science. 22(4). 787–800. 17 indexed citations
6.
Li, Chunshien, et al.. (2012). Self-learning complex neuro-fuzzy system with complex fuzzy sets and its application to adaptive image noise canceling. Neurocomputing. 94. 121–139. 40 indexed citations
7.
Li, Chunshien & Tai-Wei Chiang. (2012). Complex Neurofuzzy ARIMA Forecasting—A New Approach Using Complex Fuzzy Sets. IEEE Transactions on Fuzzy Systems. 21(3). 567–584. 89 indexed citations
8.
Li, Chunshien, et al.. (2011). A new ARIMA-based neuro-fuzzy approach and swarm intelligence for time series forecasting. Engineering Applications of Artificial Intelligence. 25(2). 295–308. 52 indexed citations
9.
Li, Chunshien, et al.. (2010). Computational Intelligence Hybrid Learning Approach To Time Series Forecasting. Zenodo (CERN European Organization for Nuclear Research). 43. 772–779. 1 indexed citations
10.
Hsu, Chun‐Fei, et al.. (2007). Fuzzy–Neural Sliding-Mode Control for DC–DC Converters Using Asymmetric Gaussian Membership Functions. IEEE Industrial Electronics Magazine. 54(3). 1528–1536. 109 indexed citations
11.
Li, Chunshien, et al.. (2006). Adaptive noise cancellation with computational-intelligence-based approach. International Conference on Signal Processing. 93–98. 2 indexed citations
12.
Li, Chunshien, et al.. (2006). Adaptive interference signal processing with intelligent neuro-fuzzy approach. Annual Conference on Computers. 393–398. 1 indexed citations
13.
Li, Chunshien, et al.. (2006). Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling. Fuzzy Sets and Systems. 158(2). 194–212. 33 indexed citations
14.
Li, Chunshien. (2006). Computational Issue of Fuzzy Rule-based System. 3 indexed citations
15.
Li, Chunshien. (2006). Hybrid Evolutionary Soft-Computing Approach for Unknown System Identification. IEICE Transactions on Information and Systems. E89-D(4). 1440–1449. 1 indexed citations
16.
Li, Chunshien, et al.. (2005). An improved median filtering for impulsive noise cancellation. 24–24. 1 indexed citations
17.
Li, Chunshien, et al.. (2005). Hybrid learning neuro-fuzzy approach for complex modeling using asymmetric fuzzy sets. 30. 5 pp.–401. 5 indexed citations
18.
Li, Chunshien, et al.. (2005). Soft computing approach to adaptive noise filtering. 1. 1–5. 2 indexed citations
19.
Li, Chunshien, et al.. (2003). Soft computing approach to feature extraction. Fuzzy Sets and Systems. 147(1). 119–140. 10 indexed citations
20.
Li, Chunshien & Chun‐Yi Lee. (2003). Self-organizing neuro-fuzzy system for control of unknown plants. IEEE Transactions on Fuzzy Systems. 11(1). 135–150. 58 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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