Daixing Lu

405 citations
18 papers · 307 · h-index 11

Impact in

Papers in

Daixing Lu

15 papers receiving 301 citations

Peers

Daixing Lu
Comparison fields: 5 of 30
  • Numerical Analysis 76
  • Control and Systems Engineering 236
  • Computational Theory and Mathematics 140
  • Software 19
  • Management Science and Operations Research 52
Replace Johan U. Backström with:
Johan U. Backström Canada
A. Jokic Netherlands
Koichi Suyama Japan
Klaus Trangbæk Denmark
Takehito Azuma Japan
Tahar Bouarar France
Zakaria Chalh Morocco
Valentina Orsini Italy
Jie Meng China
J.C. Culioli United States
Daixing Lu relative to Johan U. Backström Canada Johan U. Backström's profile →
Citations per field
00.5×10×17.3×
Johan U. Backström · 1×
Citations per year

Countries citing papers authored by Daixing Lu

Since Specialization
Citations

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

Fields of papers citing papers by Daixing Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Daixing Lu, 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 Daixing Lu Line = papers co-authored together Daixing Lu links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201455
2 201440
3 201536
4 201435
5 201433
6 201425
7 202325
8 201815
9 201514
10 201911
11 201510
12 20155
13
On the stability of explicit and implicit co-simulation approaches
20151
14 20191
15 20231
16 20240
17 20220
18 20250

About Daixing Lu

Daixing Lu is a scholar working on Control and Systems Engineering, Mechanical Engineering, Numerical Analysis, Computational Theory and Mathematics and Mechanics of Materials, having authored 18 papers that have together received 307 indexed citations. Recurring topics across this work include Dynamics and Control of Mechanical Systems (11 papers), Numerical methods for differential equations (7 papers), Hydraulic and Pneumatic Systems (6 papers), Modeling and Simulation Systems (6 papers), Vibration and Dynamic Analysis (3 papers), Tribology and Lubrication Engineering (3 papers), Gear and Bearing Dynamics Analysis (3 papers) and Advanced MEMS and NEMS Technologies (1 paper). The work is most often cited by research in Numerical Analysis (76 citations), Control and Systems Engineering (236 citations), Computational Theory and Mathematics (140 citations), Software (19 citations) and Management Science and Operations Research (52 citations). Daixing Lu has collaborated with scholars based in Germany and China. Frequent co-authors include Bernhard Schweizer, Pu Li, Pu Li, Tobias Meyer, Ben Schweizer, Guangtao Wang, Xiaohong Liu, Pu Li, Qi Yuan and Mengmeng Zhang. Their work appears in journals such as Multibody System Dynamics, Archive of Applied Mechanics, Journal of Computational and Nonlinear Dynamics, Applied Sciences and Nonlinear Dynamics.

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