Di Liu

1.5k citations
62 papers · 1.2k · h-index 19

Impact in

Papers in

Di Liu

57 papers receiving 1.2k citations

Peers

Di Liu
Comparison fields: 5 of 106
  • Modeling and Simulation 176
  • Statistics, Probability and Uncertainty 165
  • Statistical and Nonlinear Physics 245
  • Civil and Structural Engineering 197
  • Control and Systems Engineering 198
Replace Michael Oberguggenberger with:
Michael Oberguggenberger Austria
Yingjie Liang China
Stanley J. Farlow United States
F. R. de Hoog Australia
Stephen Nash United States
Ronald B. Guenther United States
Francesco Rossi Italy
Nils Henrik Risebro Norway
Gilberto Espinosa-Paredes Mexico
John H. Mathews United States
Di Liu relative to Michael Oberguggenberger Austria Michael Oberguggenberger's profile →
Citations per field
00.5×8.3×
Michael Oberguggenberger · 1×
Citations per year

Countries citing papers authored by Di Liu

Since Specialization
Citations

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

Fields of papers citing papers by Di Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020133
2 2016104
3 2012102
4 201364
5 201762
6 201361
7 201753
8 201546
9 201744
10 202137
11 200336
12 201934
13 201433
14 201229
15 201425
16 200221
17 201221
18 201920
19 201619
20 201917

About Di Liu

Di Liu is a scholar working on Control and Systems Engineering, Civil and Structural Engineering, Statistics, Probability and Uncertainty, Mechanical Engineering and Biomedical Engineering, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (14 papers), Vibration and Dynamic Analysis (9 papers), Structural Health Monitoring Techniques (8 papers), Innovative Energy Harvesting Technologies (7 papers), Vibration Control and Rheological Fluids (7 papers), Wind and Air Flow Studies (6 papers), Acoustic Wave Phenomena Research (6 papers) and Stochastic processes and financial applications (5 papers). The work is most often cited by research in Modeling and Simulation (176 citations), Statistics, Probability and Uncertainty (165 citations), Statistical and Nonlinear Physics (245 citations), Civil and Structural Engineering (197 citations) and Control and Systems Engineering (198 citations). Di Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yong Xu, Yongge Li, Xiangfeng Yang, Jinwu Gao, Yvette Baninla, Hong Zhang, Chao Su, Yan Cui, Junlin Li and Mengmeng Li. Their work appears in journals such as Nonlinear Dynamics, Chaos Solitons & Fractals, Communications in Nonlinear Science and Numerical Simulation, Journal of Sound and Vibration and International Journal of Non-Linear Mechanics.

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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