Hui–Hui Dai

4.1k total citations
167 papers, 3.1k citations indexed

About

Hui–Hui Dai is a scholar working on Statistical and Nonlinear Physics, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Hui–Hui Dai has authored 167 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Statistical and Nonlinear Physics, 59 papers in Biomedical Engineering and 57 papers in Mechanics of Materials. Recurrent topics in Hui–Hui Dai's work include Nonlinear Waves and Solitons (57 papers), Elasticity and Material Modeling (55 papers) and Nonlinear Photonic Systems (43 papers). Hui–Hui Dai is often cited by papers focused on Nonlinear Waves and Solitons (57 papers), Elasticity and Material Modeling (55 papers) and Nonlinear Photonic Systems (43 papers). Hui–Hui Dai collaborates with scholars based in Hong Kong, China and United States. Hui–Hui Dai's co-authors include Xianguo Geng, Jiong Wang, Engui Fan, Fan‐Fan Wang, Xi Zhu, Xiaowu Zhu, Yuanbin Wang, Deren Han, Liqun Qi and Zilong Song and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Hui–Hui Dai

153 papers receiving 3.0k citations

Peers

Hui–Hui Dai
Comparison fields: 5 of 95
  • Statistical and Nonlinear Physics 1.5k
  • Mechanics of Materials 884
  • Biomedical Engineering 803
  • Materials Chemistry 564
  • Geometry and Topology 486
Replace Mark A. Peletier with:
Mark A. Peletier Netherlands
Igor V. Andrianov Germany
Tomáš Roubı́ček Czechia
Weipeng Hu China
Miguel Ortiz United States
Miroslav Šilhavý Czechia
Roger Fosdick United States
Erdoğan S. Şuhubi Türkiye
Yusry O. El‐Dib Egypt
Paolo Podio–Guidugli Italy
Mark A. Peletier Netherlands View profile →
Citations per field, relative to Hui–Hui Dai
Hui–Hui Dai · 1×
Citations per year, relative to Hui–Hui Dai
Hui–Hui Dai · 1×

Countries citing papers authored by Hui–Hui Dai

Since Specialization
Citations

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

Fields of papers citing papers by Hui–Hui Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui–Hui Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Hui–Hui Dai. A scholar is included among the top collaborators of Hui–Hui 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 Hui–Hui Dai. Hui–Hui 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 1
2 15
3 6
4 29
5 20
6 39
7 25
8 119
9 11
10 12
11
On the study of singular nonlinear traveling wave equations : dynamical system approach = 奇非线性行波方程研究的动力系统方法
7
12
Recent efforts in modelling combined rate, size and thermal effects on single crystal strength
1
13 7
14 30
15 0
16 3
17 5
18 209
19 8
20 3

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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