Zhao Liu

2.8k citations
126 papers · 2.0k indexed · 1 hit paper · h-index 26

Zhao Liu

115 papers receiving 2.0k citations

Hit Papers

Deep generative modeling for mechanistic-based learning a...239202020262022202450100150200

Peers

Zhao Liu
Comparison fields: 5 of 164
  • Statistics, Probability and Uncertainty 176
  • Civil and Structural Engineering 443
  • Mechanics of Materials 504
  • Mechanical Engineering 606
  • Building and Construction 150
Replace Xiao Chen with:
Xiao Chen China
Andres L. Carrano United States
Afzal Suleman Canada
Frédéric Dubois France
Pooya Sareh United Kingdom
Gareth Pierce United Kingdom
Simon Laflamme United States
Shaofei Jiang China
Guilin Wen China
Hyunsun A. Kim United Kingdom
Zhao Liu relative to Xiao Chen China Xiao Chen's profile →
Citations per field
00.5×3.0×
Xiao Chen · 1×
Citations per year

Countries citing papers authored by Zhao Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhao Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Zhao Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zhao Liu Line = papers co-authored together Zhao Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20256
2 20250
3 20251
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11 202313
12 202322
13 20235
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16 202123
17 202014
18
Deep generative modeling for mechanistic-based learning and design of metamaterial systemsbreakdown →
2020239
19
Determination of Design Loads of Wind, Wave and Flow for the Construction Trestle of Hangzhou Bay Bridge
20071
20
Construction Technology for Large Metro Interchange Station in Urban Busy Area
20020

About Zhao Liu

Zhao Liu is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Mechanics of Materials, having authored 126 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mechanical Behavior of Composites (20 papers), Advanced Multi-Objective Optimization Algorithms (17 papers), Probabilistic and Robust Engineering Design (15 papers), Composite Material Mechanics (10 papers), Topology Optimization in Engineering (10 papers), Wind and Air Flow Studies (8 papers), Structural Behavior of Reinforced Concrete (7 papers) and Cellular and Composite Structures (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (176 citations), Civil and Structural Engineering (443 citations) and Mechanics of Materials (504 citations). Zhao Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ping Zhu, Wei Chen, Liwei Wang, Yu‐Chin Chan, Hanyu Zhang, Faez Ahmed, Chao Zhu, Wei Tao, Can Xu and Chaorong Zheng. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.

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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