Hao Li

2.8k citations
181 papers · 1.7k · 1 hit paper · h-index 20

Impact in

Papers in

Hao Li

156 papers receiving 1.7k citations

Hao Li's Hit Papers

A gradient-enhanced physics-informed neural networks method for the wave equation 2024 · 82 citations
820+1Years since publication255075

Peers

Hao Li
Comparison fields: 5 of 126
  • Civil and Structural Engineering 917
  • Mechanics of Materials 436
  • Computational Theory and Mathematics 277
  • Mechanical Engineering 480
  • Automotive Engineering 153
Replace Jaewook Lee with:
Jaewook Lee South Korea
Shengli Xu China
Khader M. Hamdia Germany
Hai Huang China
Heng Hu China
Jie Gao China
Vassili Toropov United Kingdom
Xuan Wang China
Thierry Massart Belgium
Hao Li relative to Jaewook Lee South Korea Jaewook Lee's profile →
Citations per field
00.5×2.8×
Jaewook Lee · 1×
Citations per year

Countries citing papers authored by Hao Li

Since Specialization
Citations

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

Fields of papers citing papers by Hao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019197
2 2019105
3
A gradient-enhanced physics-informed neural networks method for the wave equation
Hit paper breakdown →
202482
4 202166
5 202164
6 201858
7 201954
8 202247
9 202246
10 202039
11 202036
12 202134
13 201334
14 201230
15 201325
16 201425
17 202422
18 202022
19 201721
20 202320

About Hao Li

Hao Li is a scholar working on Civil and Structural Engineering, Mechanics of Materials, Mechanical Engineering, Aerospace Engineering and Computational Mechanics, having authored 181 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topology Optimization in Engineering (40 papers), Composite Structure Analysis and Optimization (21 papers), Advanced Multi-Objective Optimization Algorithms (17 papers), Composite Material Mechanics (10 papers), Heat Transfer and Optimization (9 papers), Civil and Geotechnical Engineering Research (7 papers), Structural Analysis and Optimization (6 papers) and Combustion and Detonation Processes (5 papers). The work is most often cited by research in Civil and Structural Engineering (917 citations), Mechanics of Materials (436 citations), Computational Theory and Mathematics (277 citations), Mechanical Engineering (480 citations) and Automotive Engineering (153 citations). Hao Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xiaohong Ding, Min Xiong, Dalei Jing, Shinji Nishiwaki, Kazuhiro Izui, Heng Zhang, Benliang Zhu, Kozo Furuta, Tsuguo Kondoh and Pierre Jolivet. Their work appears in journals such as Structural and Multidisciplinary Optimization, International Journal for Numerical Methods in Engineering, Scientific Reports, Composite Structures and Buildings.

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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