Huliang Dai

5.1k total citations
122 papers, 4.3k citations indexed

About

Huliang Dai is a scholar working on Computational Mechanics, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Huliang Dai has authored 122 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Computational Mechanics, 68 papers in Control and Systems Engineering and 41 papers in Mechanical Engineering. Recurrent topics in Huliang Dai's work include Fluid Dynamics and Vibration Analysis (73 papers), Vibration and Dynamic Analysis (66 papers) and Innovative Energy Harvesting Technologies (32 papers). Huliang Dai is often cited by papers focused on Fluid Dynamics and Vibration Analysis (73 papers), Vibration and Dynamic Analysis (66 papers) and Innovative Energy Harvesting Technologies (32 papers). Huliang Dai collaborates with scholars based in China, United States and Germany. Huliang Dai's co-authors include Lin Wang, Abdessattar Abdelkefi, Qiao Ni, Quan Qian, Wei Chen, Rashid Naseer, Kun Zhou, Yikun Wang, Yaowen Yang and Umer Javed and has published in prestigious journals such as Applied Physics Letters, Applied Energy and Nano Energy.

In The Last Decade

Huliang Dai

120 papers receiving 4.3k citations

Peers

Huliang Dai
Comparison fields: 5 of 81
  • Control and Systems Engineering 2.3k
  • Computational Mechanics 2.3k
  • Mechanical Engineering 1.8k
  • Civil and Structural Engineering 1.0k
  • Mechanics of Materials 994
Replace F. Armero with:
F. Armero United States
H. Haddadpour Iran
Roohollah Talebitooti Iran
Jayant Sirohi United States
Nicole Kessissoglou Australia
Seyyed M. Hasheminejad Iran
Onur Bilgen United States
Zhifei Shi China
J.R. Banerjee United Kingdom
Ulrich Gabbert Germany
F. Armero United States View profile →
Citations per field, relative to Huliang Dai
Huliang Dai · 1×
Citations per year, relative to Huliang Dai
Huliang Dai · 1×

Countries citing papers authored by Huliang Dai

Since Specialization
Citations

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

Fields of papers citing papers by Huliang Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huliang Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Huliang Dai. A scholar is included among the top collaborators of Huliang Dai 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 Huliang Dai. Huliang Dai 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 2
2 1
3 1
4 2
5 1
6 1
7 6
8 12
9 12
10 3
11 9
12 8
13 24
14 4
15 43
16 24
17 6
18 8
19 49
20 157

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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