Huixiong Wang

439 total citations
22 papers, 306 citations indexed

About

Huixiong Wang is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Mechanical Engineering. According to data from OpenAlex, Huixiong Wang has authored 22 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Civil and Structural Engineering, 5 papers in Statistics, Probability and Uncertainty and 4 papers in Mechanical Engineering. Recurrent topics in Huixiong Wang's work include Infrastructure Resilience and Vulnerability Analysis (5 papers), Risk and Safety Analysis (5 papers) and Graphene research and applications (3 papers). Huixiong Wang is often cited by papers focused on Infrastructure Resilience and Vulnerability Analysis (5 papers), Risk and Safety Analysis (5 papers) and Graphene research and applications (3 papers). Huixiong Wang collaborates with scholars based in China and Germany. Huixiong Wang's co-authors include Xing Pan, Yuehong Li, Fan Xu, Yan Feng, Chenchen Wu, Chao Ma, Guozhong Zhang, Yong Luo, Qiang Gao and Wei Luo and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Materials.

In The Last Decade

Huixiong Wang

22 papers receiving 295 citations

Peers

Huixiong Wang
Comparison fields: 5 of 85
  • Civil and Structural Engineering 93
  • Statistics, Probability and Uncertainty 73
  • Molecular Biology 38
  • Mechanical Engineering 36
  • Radiological and Ultrasound Technology 31
Replace Limin Jia with:
Limin Jia China
Silei Chen China
Tseng‐Chang Yen Taiwan
Stefano De Porcellinis Italy
Guangming Xu China
Minhao Xu China
S. Ali Shariati Iran
Walid Abdelwahab United States
Limin Jia China View profile →
Citations per field, relative to Huixiong Wang
Huixiong Wang · 1×
Citations per year, relative to Huixiong Wang
Huixiong Wang · 1×

Countries citing papers authored by Huixiong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Huixiong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huixiong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Huixiong Wang. A scholar is included among the top collaborators of Huixiong 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 Huixiong Wang. Huixiong Wang 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 3
2 1
3 48
4 44
5 3
6 4
7 11
8 3
9 3
10 75
11 3
12 6
13 12
14 1
15 17
16 12
17 28
18 1
19 18
20 3

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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