Lehua Qi

7.2k total citations · 2 hit papers
336 papers, 5.7k citations indexed

About

Lehua Qi is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Lehua Qi has authored 336 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Mechanical Engineering, 104 papers in Mechanics of Materials and 83 papers in Materials Chemistry. Recurrent topics in Lehua Qi's work include Aluminum Alloys Composites Properties (105 papers), Advanced ceramic materials synthesis (82 papers) and Additive Manufacturing and 3D Printing Technologies (53 papers). Lehua Qi is often cited by papers focused on Aluminum Alloys Composites Properties (105 papers), Advanced ceramic materials synthesis (82 papers) and Additive Manufacturing and 3D Printing Technologies (53 papers). Lehua Qi collaborates with scholars based in China, United Kingdom and United States. Lehua Qi's co-authors include Jiming Zhou, Hejun Li, Wenlong Tian, Jun Luo, Xujiang Chao, Junhao Liang, Xianghui Hou, Yanhui Chu, Hao Yi and Hejun Li and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lehua Qi

319 papers receiving 5.6k citations

Hit Papers

Physics-informed Neural Networks (PINN) for computational... 2023 2026 2024 2025 2024 2023 25 50 75 100

Peers

Lehua Qi
Comparison fields: 5 of 116
  • Mechanical Engineering 2.8k
  • Mechanics of Materials 1.7k
  • Materials Chemistry 1.5k
  • Ceramics and Composites 1.2k
  • Electrical and Electronic Engineering 1.1k
Replace Akira Kawasaki with:
Akira Kawasaki Japan
Prasanta Sahoo India
Siegfried Schmauder Germany
Rujie He China
Hermann Riedel Germany
Mohammad A. Khaleel United States
Jiming Zhou China
Christian Coddet France
Xiaodong He China
Christian Leinenbach Switzerland
Akira Kawasaki Japan View profile →
Citations per field, relative to Lehua Qi
Lehua Qi · 1×
Citations per year, relative to Lehua Qi
Lehua Qi · 1×

Countries citing papers authored by Lehua Qi

Since Specialization
Citations

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

Fields of papers citing papers by Lehua Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lehua Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Lehua Qi. A scholar is included among the top collaborators of Lehua Qi 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 Lehua Qi. Lehua Qi 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 10
2 1
3 3
4 1
5
Physics-informed Neural Networks (PINN) for computational solid mechanics: Numerical frameworks and applications breakdown →
101
6 5
7 3
8 5
9 5
10 6
11 38
12 4
13 16
14 12
15 8
16 13
17 8
18 14
19 3
20 10

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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2026