Chunli Wu

471 total citations
33 papers, 375 citations indexed

About

Chunli Wu is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Control and Systems Engineering. According to data from OpenAlex, Chunli Wu has authored 33 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Civil and Structural Engineering, 11 papers in Mechanics of Materials and 7 papers in Control and Systems Engineering. Recurrent topics in Chunli Wu's work include Asphalt Pavement Performance Evaluation (9 papers), Structural Health Monitoring Techniques (9 papers) and Infrastructure Maintenance and Monitoring (9 papers). Chunli Wu is often cited by papers focused on Asphalt Pavement Performance Evaluation (9 papers), Structural Health Monitoring Techniques (9 papers) and Infrastructure Maintenance and Monitoring (9 papers). Chunli Wu collaborates with scholars based in China, United States and Australia. Chunli Wu's co-authors include K. M. Abraham, Richard Laura, Wensheng Wang, Guojin Tan, Jian Yang, Alex A. Volinsky, Bo Liu, Dean Pan, Shengen Zhang and Yongchun Cheng and has published in prestigious journals such as Construction and Building Materials, Electrochimica Acta and Sensors.

In The Last Decade

Chunli Wu

32 papers receiving 370 citations

Peers

Chunli Wu
Comparison fields: 5 of 53
  • Civil and Structural Engineering 198
  • Electrical and Electronic Engineering 72
  • Building and Construction 71
  • Mechanics of Materials 56
  • Materials Chemistry 52
Xiaoxia Hu China
Jingdong Huang China
Seungwon Kim South Korea
Ziqing Liu China
Miomir Miljković Serbia
Cong Ding China
Yangzezhi Zheng China
Yang Huaquan China
Xiaoxia Hu China View profile →
Citations per field, relative to Chunli Wu
Chunli Wu · 1×
Citations per year, relative to Chunli Wu
Chunli Wu · 1×

Countries citing papers authored by Chunli Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chunli Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunli Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chunli Wu. A scholar is included among the top collaborators of Chunli 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 Chunli Wu. Chunli 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
# Work Indexed citations
1 0
2 3
3 3
4 3
5 2
6 2
7 8
8 29
9 12
10 14
11 12
12 1
13 4
14 6
15 14
16 3
17 17
18 28
19 1
20
MULTIVARIABLE FINITE ELEMENTS:CONSISTENCY AND OPTIMIZATION
16

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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