Shih-Hsi Liu

51 total papers · 2.5k total citations
40 papers, 2.0k citations indexed

About

Shih-Hsi Liu is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Shih-Hsi Liu has authored 40 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 14 papers in Information Systems and 13 papers in Computational Theory and Mathematics. Recurrent topics in Shih-Hsi Liu's work include Metaheuristic Optimization Algorithms Research (14 papers), Evolutionary Algorithms and Applications (13 papers) and Service-Oriented Architecture and Web Services (12 papers). Shih-Hsi Liu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (14 papers), Evolutionary Algorithms and Applications (13 papers) and Service-Oriented Architecture and Web Services (12 papers). Shih-Hsi Liu collaborates with scholars based in United States, Slovenia and Saudi Arabia. Shih-Hsi Liu's co-authors include Matej Črepinšek, Marjan Mernik, Luka Mernik, Derviş Karaboğa, Barrett R. Bryant, Jeff Gray, Austin Melton, Sanqing Hu, Yu Cao and Mikhail Auguston and has published in prestigious journals such as Expert Systems with Applications, ACM Computing Surveys and Information Sciences.

In The Last Decade

Shih-Hsi Liu

38 papers receiving 2.0k citations

Hit Papers

Exploration and exploitat... 2013 2026 2017 2021 2013 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shih-Hsi Liu 1.3k 715 197 194 180 40 2.0k
Matej Črepinšek 1.6k 1.2× 852 1.2× 235 1.2× 209 1.1× 187 1.0× 44 2.5k
Fernando G. Lobo 1.6k 1.2× 745 1.0× 196 1.0× 315 1.6× 135 0.8× 46 2.4k
Jianyong Chen 1.2k 0.9× 924 1.3× 150 0.8× 118 0.6× 161 0.9× 32 1.6k
Mohd Najib Mohd Salleh 874 0.7× 360 0.5× 131 0.7× 193 1.0× 194 1.1× 45 1.6k
Hoda Zamani 1.3k 1.0× 564 0.8× 140 0.7× 223 1.1× 239 1.3× 26 1.9k
Ayed Salman 1.2k 0.9× 412 0.6× 199 1.0× 164 0.8× 401 2.2× 47 2.1k
Hui Sun 997 0.8× 466 0.7× 155 0.8× 167 0.9× 230 1.3× 42 1.6k
Thomas Weise 1.5k 1.1× 803 1.1× 199 1.0× 249 1.3× 226 1.3× 106 2.4k
Genghui Li 1.2k 0.9× 865 1.2× 185 0.9× 215 1.1× 174 1.0× 57 1.9k
Doddy Prayogo 1.2k 0.9× 859 1.2× 258 1.3× 390 2.0× 153 0.8× 55 2.7k

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

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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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