Yan‐Gang Zhao

5.8k citations
212 papers · 4.6k indexed · h-index 35
Topics
Probabilistic and Robust Engineering Design (111 papers)Structural Health Monitoring Techniques (58 papers)Concrete Corrosion and Durability (58 papers)
Partner nations
JapanChinaSingapore

In The Last Decade

Yan‐Gang Zhao

199 papers receiving 4.4k citations

Peers

Yan‐Gang Zhao
Comparison fields: 5 of 110
  • Civil and Structural Engineering 3.2k
  • Statistics, Probability and Uncertainty 2.3k
  • Building and Construction 1.0k
  • Mechanics of Materials 962
  • Safety, Risk, Reliability and Quality 494
Replace Khalid M. Mosalam with:
Khalid M. Mosalam United States
James T. P. Yao United States
Joel P. Conte United States
Wei‐Xin Ren China
Achintya Haldar United States
Sez Atamturktur United States
Hua‐Ping Wan China
Yiannis Tsompanakis Greece
Gaofeng Jia United States
Alexandros A. Taflanidis United States
Yan‐Gang Zhao relative to Khalid M. Mosalam United States Khalid M. Mosalam's profile →
Citations per field
00.5×10×
Khalid M. Mosalam · 1×
Citations per year

Countries citing papers authored by Yan‐Gang Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐Gang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan‐Gang Zhao. 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 Yan‐Gang Zhao. The network helps show where Yan‐Gang Zhao may publish in the future.

Co-authorship network of co-authors of Yan‐Gang Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Yan‐Gang Zhao. A scholar is included among the top collaborators of Yan‐Gang Zhao 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 Yan‐Gang Zhao. Yan‐Gang Zhao 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 7
2 1
3 12
4 5
5 1
6 12
7 2
8 2
9 2
10 39
11 18
12 5
13 1
14 7
15 4
16 5
17 3
18 1
19 4
20 2

About Yan‐Gang Zhao

Yan‐Gang Zhao is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Building and Construction, having authored 212 papers that have together received 4.6k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (111 papers), Structural Health Monitoring Techniques (58 papers) and Concrete Corrosion and Durability (58 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (2.3k citations), Civil and Structural Engineering (3.2k citations) and General Engineering (88 citations). Yan‐Gang Zhao has collaborated with scholars based in Japan, China and Singapore. Frequent co-authors include Tetsuro Ono, Zhao‐Hui Lu, Siqi Lin, Xi‐Feng Yan, Xuan‐Yi Zhang, Zhao Zhao, Alfredo H‐S. Ang, Liusheng He, Zhiping Zeng and Ping Lou. Their work appears in journals such as PLoS ONE, Cement and Concrete Research and Construction and Building Materials.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026