Weihan Wang

538 total citations
15 papers, 277 citations indexed

About

Weihan Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Weihan Wang has authored 15 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 5 papers in Electrical and Electronic Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Weihan Wang's work include Composite Material Mechanics (3 papers), Mechanical Behavior of Composites (3 papers) and Multimodal Machine Learning Applications (3 papers). Weihan Wang is often cited by papers focused on Composite Material Mechanics (3 papers), Mechanical Behavior of Composites (3 papers) and Multimodal Machine Learning Applications (3 papers). Weihan Wang collaborates with scholars based in China, Canada and Australia. Weihan Wang's co-authors include Wei Xing Zheng, Xiaoqun Wu, Yuliang Hou, Cheng Li, Yutong Liu, J S Li, Yingjie Xu, Chun‐Hway Hsueh, Thaneshan Sapanathan and Hung‐Yi Lin and has published in prestigious journals such as Materials Science and Engineering A, Composite Structures and International Journal of Mechanical Sciences.

In The Last Decade

Weihan Wang

15 papers receiving 268 citations

Peers

Weihan Wang
Comparison fields: 5 of 48
  • Mechanics of Materials 105
  • Computer Networks and Communications 62
  • Mechanical Engineering 54
  • Statistical and Nonlinear Physics 44
  • Polymers and Plastics 39
Replace Xing Guo with:
Xing Guo China
Kourosh Latifi Finland
Xiaofei Yu China
Yan Gui China
Steve Ward United States
Dale R. Shires United States
Xuewu Dai United Kingdom
Klaus Krüger Germany
Jianglong Zhang China
Xing Guo China View profile →
Citations per field, relative to Weihan Wang
Weihan Wang · 1×
Citations per year, relative to Weihan Wang
Weihan Wang · 1×

Countries citing papers authored by Weihan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weihan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihan Wang

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 1
2 43
3 15
4 3
5 38
6 56
7 6
8 2
9 7
10 63
11 4
12 4
13 2
14 2
15 31

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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