Wudong Liu

14 papers receiving 1.8k citations

Hit Papers

Multiobjective optimization Test Instances for the CEC 20...2009202620142020200920092009250500750

Peers

Wudong Liu
Comparison fields: 5 of 97
  • Computational Theory and Mathematics 1.6k
  • Artificial Intelligence 1.4k
  • Management Science and Operations Research 287
  • Control and Systems Engineering 133
  • Statistics, Probability and Uncertainty 130
Replace Noritaka Tsukamoto with:
Noritaka Tsukamoto Japan
Karthik Sindhya Finland
Shouyong Jiang United Kingdom
Fangqing Gu China
Juan Zou China
Dimo Brockhoff France
Jianchao Zeng China
Dunwei Gong China
Yu Setoguchi Japan
Mayank Kumar Goyal India
Wudong Liu relative to Noritaka Tsukamoto Japan Noritaka Tsukamoto's profile →
Citations per field
00.5×5.6×
Noritaka Tsukamoto · 1×
Citations per year

Countries citing papers authored by Wudong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Wudong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wudong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Wudong Liu. A scholar is included among the top collaborators of Wudong 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 Wudong Liu. Wudong Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 19
5 18
6 57
7
The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instancesbreakdown →
476
8 5
9
Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Modelbreakdown →
526
10
Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competitionbreakdown →
757
11 1
12 2
13 11
14 10
15 2
16 2

About Wudong Liu

Wudong Liu is a scholar working on Software, Computational Theory and Mathematics and Development, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (5 papers), Service-Oriented Architecture and Web Services (5 papers) and Model-Driven Software Engineering Techniques (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Artificial Intelligence (1.4k citations) and Management Science and Operations Research (287 citations). Wudong Liu has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Qingfu Zhang, Hui Li, Edward Tsang, Botond Virginas, Shi-Zheng Zhao, Aimin Zhou, Santosh Kumar Tiwari, Ponnuthurai Nagaratnam Suganthan, Ricardo Antunes and Emanuele Alpi. Their work appears in journals such as Nucleic Acids Research, International Journal of Hydrogen Energy and IEEE Transactions on Evolutionary Computation.

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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