Yinghua Liu

4.9k citations
172 papers · 3.9k indexed · 2 hit papers · h-index 29

Yinghua Liu

167 papers receiving 3.7k citations

Hit Papers

Kolmogo...532008202620142020100200300400500

Peers

Yinghua Liu
Comparison fields: 5 of 146
  • Marketing 568
  • Mechanics of Materials 1.3k
  • Tourism, Leisure and Hospitality Management 76
  • Organizational Behavior and Human Resource Management 426
  • Civil and Structural Engineering 754
Replace Wei Hu with:
Wei Hu China
Liang Wang China
Inwon Lee South Korea
Yuyin Wang China
Klas Hjort Sweden
Eric K. Anderson United States
Sung‐Kwon Hong South Korea
Mingzheng Wang China
Peter Childs United Kingdom
Yinghua Liu relative to Wei Hu China Wei Hu's profile →
Citations per field
00.5×10.7×
Wei Hu · 1×
Citations per year

Countries citing papers authored by Yinghua Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yinghua Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yinghua 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 Yinghua Liu Line = papers co-authored together Yinghua Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2
Kolmogorov–Arnold-Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov–Arnold Networksbreakdown →
202453
3 20241
4 202413
5 20247
6 20240
7 20231
8 202352
9 202316
10 20235
11 20222
12 202229
13 20212
14 20216
15 201916
16 2018100
17 20156
18 201113
19 200914
20 20091

About Yinghua Liu

Yinghua Liu is a scholar working on Mechanics of Materials, Mechanical Engineering and Statistics, Probability and Uncertainty, having authored 172 papers that have together received 3.9k indexed citations. Recurring topics across this work include Fatigue and fracture mechanics (71 papers), Numerical methods in engineering (52 papers), High Temperature Alloys and Creep (42 papers), Mechanical stress and fatigue analysis (17 papers), Probabilistic and Robust Engineering Design (14 papers), Composite Structure Analysis and Optimization (11 papers), Fire effects on concrete materials (11 papers) and Mechanical Behavior of Composites (11 papers). The work is most often cited by research in Marketing (568 citations), Mechanics of Materials (1.3k citations) and Tourism, Leisure and Hospitality Management (76 citations). Yinghua Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include SooCheong Jang, Zhangzhi Cen, Xuefeng Yao, Heng Yang, Haofeng Chen, Yanwei Dai, Zhihai Xiang, Yuan Li, Donghuan Liu and Yanan Yuan. Their work appears in journals such as Advanced Materials, Analytical Chemistry and Nanoscale.

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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