Chunshien Li

30 papers receiving 622 citations

Peers

Chunshien Li
Comparison fields: 5 of 73
  • Artificial Intelligence 355
  • Management Science and Operations Research 212
  • Control and Systems Engineering 188
  • Electrical and Electronic Engineering 132
  • Statistics and Probability 64
Replace Gang Leng with:
Gang Leng United Kingdom
Pyramo Costa Brazil
Qiang Hua China
Zhou Jun China
Yiting Liu China
Seok-Beom Roh South Korea
Pınar Tüfekçi Türkiye
Jun Zhan China
Dechao Li China
Hassen T. Dorrah Egypt
Chunshien Li relative to Gang Leng United Kingdom Gang Leng's profile →
Citations per field
00.5×2.9×
Gang Leng · 1×
Citations per year

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
#WorkIndexed citations
1 21
2 2
3 7
4 7
5 17
6 40
7 89
8 52
9 1
10 109
11
Adaptive noise cancellation with computational-intelligence-based approach
2
12
Adaptive interference signal processing with intelligent neuro-fuzzy approach
1
13 33
14
Computational Issue of Fuzzy Rule-based System
3
15 1
16 1
17 5
18 2
19 10
20 58

About Chunshien Li

Chunshien Li is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research, having authored 31 papers that have together received 640 indexed citations. Recurring topics across this work include Neural Networks and Applications (25 papers), Fuzzy Logic and Control Systems (22 papers) and Stock Market Forecasting Methods (6 papers). The work is most often cited by research in Management Science and Operations Research (212 citations), Artificial Intelligence (355 citations) and Control and Systems Engineering (188 citations). Chunshien Li has collaborated with scholars based in Taiwan and United States. Frequent 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. Their work appears in journals such as Expert Systems with Applications, International Journal for Numerical Methods in Engineering and IEEE Transactions on Fuzzy Systems.

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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2026