Chang-Chun Wu

700 total citations
35 papers, 543 citations indexed

About

Chang-Chun Wu is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Statistics and Probability. According to data from OpenAlex, Chang-Chun Wu has authored 35 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Mechanics of Materials, 12 papers in Civil and Structural Engineering and 7 papers in Statistics and Probability. Recurrent topics in Chang-Chun Wu's work include Numerical methods in engineering (13 papers), Composite Structure Analysis and Optimization (11 papers) and Structural Load-Bearing Analysis (8 papers). Chang-Chun Wu is often cited by papers focused on Numerical methods in engineering (13 papers), Composite Structure Analysis and Optimization (11 papers) and Structural Load-Bearing Analysis (8 papers). Chang-Chun Wu collaborates with scholars based in China, Hong Kong and Japan. Chang-Chun Wu's co-authors include T. H. H. Pian, Y.K. Cheung, Nong Zhang, Miaolin Feng, Genki YAGAWA, Huiyu Sun, Ning Pan, Yingqing Huang, Ziran Li and Tomonari Furukawa and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Composites Science and Technology and International Journal for Numerical Methods in Engineering.

In The Last Decade

Chang-Chun Wu

32 papers receiving 526 citations

Peers

Chang-Chun Wu
Comparison fields: 5 of 43
  • Mechanics of Materials 439
  • Civil and Structural Engineering 191
  • Computational Mechanics 124
  • Mechanical Engineering 73
  • Statistics and Probability 48
Replace Rengui Bi with:
Rengui Bi China
Francesco Trentadue Italy
T. S. Koko United States
Theodore F. Johnson United States
P. Śniady Poland
Juan Ma China
M. P. Enright United States
Asme
Alf Samuelsson Sweden
Klaus Jürgen Bathe United States
Rengui Bi China View profile →
Citations per field, relative to Chang-Chun Wu
Chang-Chun Wu · 1×
Citations per year, relative to Chang-Chun Wu
Chang-Chun Wu · 1×

Countries citing papers authored by Chang-Chun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Chun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang-Chun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Chun Wu. A scholar is included among the top collaborators of Chang-Chun 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 Chang-Chun Wu. Chang-Chun 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 2
2 0
3 2
4 11
5 34
6
Influence of Element Type and Size on Finite Element Prediction of Crack Tip Plasticity
0
7 1
8 2
9 1
10 52
11 3
12 33
13 21
14 4
15 3
16 10
17 2
18 7
19 81
20 0

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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