Changzhi Wu

3.5k citations
133 papers · 2.7k indexed · h-index 30
Topics
Advanced Optimization Algorithms Research (15 papers)Metaheuristic Optimization Algorithms Research (12 papers)BIM and Construction Integration (11 papers)

In The Last Decade

Changzhi Wu

121 papers receiving 2.6k citations

Peers

Changzhi Wu
Comparison fields: 5 of 136
  • Electrical and Electronic Engineering 495
  • Artificial Intelligence 407
  • Civil and Structural Engineering 402
  • Building and Construction 401
  • Control and Systems Engineering 391
Replace Min‐Yuan Cheng with:
Min‐Yuan Cheng Taiwan
Doddy Prayogo Indonesia
Zhile Yang China
Nikos D. Lagaros Greece
Samuel T. Ariaratnam United States
Zhen Hu United States
Yu‐Jun Zheng China
R. Timothy Marler United States
Benny Raphael India
Abdollah Homaifar United States
Changzhi Wu relative to Min‐Yuan Cheng Taiwan Min‐Yuan Cheng's profile →
Citations per field
00.5×1.5×
Min‐Yuan Cheng · 1×
Citations per year

Countries citing papers authored by Changzhi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Changzhi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changzhi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Changzhi Wu. A scholar is included among the top collaborators of Changzhi Wu 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 Changzhi Wu. Changzhi Wu 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 0
3 4
4 1
5 4
6 3
7 6
8 0
9 2
10 3
11 2
12 79
13 1
14 4
15 29
16
Optimal design and experimental evaluation of a TLP for FOWT at moderate water depth
2
17 2
18
Global Search for Deep Triggered Tremor
1
19 8
20 44

About Changzhi Wu

Changzhi Wu is a scholar working on Numerical Analysis, Management Science and Operations Research and Building and Construction, having authored 133 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (15 papers), Metaheuristic Optimization Algorithms Research (12 papers) and BIM and Construction Integration (11 papers). The work is most often cited by research in Building and Construction (401 citations), Management Science and Operations Research (308 citations) and Industrial and Manufacturing Engineering (242 citations). Changzhi Wu has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Xiangyu Wang, Kok Lay Teo, Qiang Long, Diyi Chen, Jianjun Liu, Hao Zhang, Chuanxin Zhao, Mi Jeong Kim, Zhaohan Sheng and Zhiyou Wu. Their work appears in journals such as Geochimica et Cosmochimica Acta, Automatica and Applied Energy.

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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