Shuwei Zhu

683 citations
29 papers · 424 indexed · h-index 9
Topics
Metaheuristic Optimization Algorithms Research (18 papers)Advanced Multi-Objective Optimization Algorithms (15 papers)Evolutionary Algorithms and Applications (9 papers)
Partner nations
ChinaUnited StatesMacao

In The Last Decade

Shuwei Zhu

23 papers receiving 412 citations

Peers

Shuwei Zhu
Comparison fields: 5 of 64
  • Artificial Intelligence 292
  • Computational Theory and Mathematics 231
  • Control and Systems Engineering 41
  • Computer Vision and Pattern Recognition 40
  • Management Science and Operations Research 38
Replace Yuanchao Liu with:
Yuanchao Liu China
Mark W. Hauschild United States
Luis Miguel Antonio Mexico
Gary Pamparà South Africa
Borhan Kazimipour Australia
Luka Mernik United States
Maha Elarbi Tunisia
Tim Hendtlass Australia
Giorgos Karafotias Netherlands
Shuwei Zhu relative to Yuanchao Liu China Yuanchao Liu's profile →
Citations per field
00.5×10×14×
Yuanchao Liu · 1×
Citations per year

Countries citing papers authored by Shuwei Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Shuwei Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuwei Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Shuwei Zhu. A scholar is included among the top collaborators of Shuwei Zhu 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 Shuwei Zhu. Shuwei Zhu 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 0
2 1
3 0
4 0
5 1
6 3
7 0
8 0
9 39
10 1
11 1
12 3
13 30
14 137
15 4
16 8
17 4
18 41
19 14
20 26

About Shuwei Zhu

Shuwei Zhu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 29 papers that have together received 424 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (18 papers), Advanced Multi-Objective Optimization Algorithms (15 papers) and Evolutionary Algorithms and Applications (9 papers). The work is most often cited by research in Computational Theory and Mathematics (231 citations), Artificial Intelligence (292 citations) and Industrial and Manufacturing Engineering (32 citations). Shuwei Zhu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Lihong Xu, Erik D. Goodman, Leilei Cao, Chunteng Bao, Zhiping Zhou, Zhichao Lu, Meiji Cui, Wei Fang, Abdullah Abusorrah and MengChu Zhou. Their work appears in journals such as Expert Systems with Applications, IEEE Access 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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