Yeong‐Cheng Liou

3.0k citations
167 papers · 2.3k indexed · h-index 28
Topics
Optimization and Variational Analysis (142 papers)Advanced Optimization Algorithms Research (114 papers)Fixed Point Theorems Analysis (78 papers)
Journals
SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchBMC Bioinformatics
Partner nations
TaiwanChinaSouth Korea

In The Last Decade

Yeong‐Cheng Liou

157 papers receiving 2.2k citations

Peers

Yeong‐Cheng Liou
Comparison fields: 5 of 81
  • Computational Theory and Mathematics 2.1k
  • Numerical Analysis 1.5k
  • Geometry and Topology 1.2k
  • Civil and Structural Engineering 362
  • Applied Mathematics 148
Replace Shih-sen Chang with:
Shih-sen Chang China
Yekini Shehu China
Lê Dũng Mưu Vietnam
Aviv Gibali Israel
Phan Quốc Khánh Vietnam
Hideaki Iiduka Japan
Alberto Seeger France
Regina S. Burachik Australia
Michel Théra France
Diethard Klatte Switzerland
Yeong‐Cheng Liou relative to Shih-sen Chang China Shih-sen Chang's profile →
Citations per field
00.5×1.5×2.4×
Shih-sen Chang · 1×
Citations per year

Countries citing papers authored by Yeong‐Cheng Liou

Since Specialization
Citations

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

Fields of papers citing papers by Yeong‐Cheng Liou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeong‐Cheng Liou. 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 Yeong‐Cheng Liou. The network helps show where Yeong‐Cheng Liou may publish in the future.

Co-authorship network of co-authors of Yeong‐Cheng Liou

This figure shows the co-authorship network connecting the top 25 collaborators of Yeong‐Cheng Liou. A scholar is included among the top collaborators of Yeong‐Cheng Liou 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 Yeong‐Cheng Liou. Yeong‐Cheng Liou 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 0
3 1
4 12
5 1
6 12
7 42
8 14
9 5
10 3
11 59
12 4
13 5
14 10
15 12
16 0
17 3
18 4
19
An iterative method for fixed point problems and variational inequality problems
5
20 5

About Yeong‐Cheng Liou

Yeong‐Cheng Liou is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Geometry and Topology, having authored 167 papers that have together received 2.3k indexed citations. Recurring topics across this work include Optimization and Variational Analysis (142 papers), Advanced Optimization Algorithms Research (114 papers) and Fixed Point Theorems Analysis (78 papers). The work is most often cited by research in Numerical Analysis (1.5k citations), Geometry and Topology (1.2k citations) and Computational Theory and Mathematics (2.1k citations). Yeong‐Cheng Liou has collaborated with scholars based in Taiwan, China and South Korea. Frequent co-authors include Yonghong Yao, Jen‐Chih Yao, Mihai Postolache, Shin Min Kang, Muhammad Aslam Noor, Yeol Je Cho, Rudong Chen, Lu-Chuan Ceng, Jigang Wu and Giuseppe Marino. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and BMC Bioinformatics.

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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