Shih-Hsi Liu

2.5k citations
40 papers · 2.0k indexed · 1 hit paper · h-index 14
Topics
Metaheuristic Optimization Algorithms Research (14 papers)Evolutionary Algorithms and Applications (13 papers)Advanced Multi-Objective Optimization Algorithms (12 papers)

In The Last Decade

Shih-Hsi Liu

38 papers receiving 2.0k citations

Hit Papers

Exploration and exploitation in evolutionary algorithms20132026201720212013250500750

Peers

Shih-Hsi Liu
Comparison fields: 5 of 127
  • Artificial Intelligence 1.3k
  • Computational Theory and Mathematics 717
  • Industrial and Manufacturing Engineering 201
  • Electrical and Electronic Engineering 196
  • Computer Vision and Pattern Recognition 179
Replace Sanaz Mostaghim with:
Sanaz Mostaghim Germany
Ilhem Boussaïd Algeria
Matej Črepinšek Slovenia
Fernando G. Lobo Portugal
Thomas Weise China
Terence C. Fogarty United Kingdom
Jinghui Zhong China
Yang Yu China
Francisco Luna Spain
Shih-Hsi Liu relative to Sanaz Mostaghim Germany Sanaz Mostaghim's profile →
Citations per field
00.5×
Sanaz Mostaghim · 1×
Citations per year

Countries citing papers authored by Shih-Hsi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Hsi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Hsi Liu. 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 Shih-Hsi Liu. The network helps show where Shih-Hsi Liu may publish in the future.

Co-authorship network of co-authors of Shih-Hsi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Hsi Liu. A scholar is included among the top collaborators of Shih-Hsi Liu 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 Shih-Hsi Liu. Shih-Hsi Liu 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 1
2 19
3 33
4 4
5 45
6 21
7 16
8 1
9 69
10 86
11 2
12 248
13 1
14 2
15 2
16 43
17 5
18
Entropy-Driven Parameter Control for Evolutionary Algorithms
10
19
Quality of Service-Driven Requirements Analyses for Component Composition: A Two-Level Grammar++ Approach
1
20 1

About Shih-Hsi Liu

Shih-Hsi Liu is a scholar working on Software, Artificial Intelligence and Computational Theory and Mathematics, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (14 papers), Evolutionary Algorithms and Applications (13 papers) and Advanced Multi-Objective Optimization Algorithms (12 papers). The work is most often cited by research in Computational Theory and Mathematics (717 citations), Artificial Intelligence (1.3k citations) and Industrial and Manufacturing Engineering (201 citations). Shih-Hsi Liu has collaborated with scholars based in United States, Slovenia and Saudi Arabia. Frequent co-authors include Matej Črepinšek, Marjan Mernik, Luka Mernik, Derviş Karaboğa, Barrett R. Bryant, Jeff Gray, Austin Melton, Yu Cao, Mikhail Auguston and Sanqing Hu. Their work appears in journals such as Expert Systems with Applications, ACM Computing Surveys and Information Sciences.

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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