Hua Dai

2.5k total citations
134 papers, 2.0k citations indexed

About

Hua Dai is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Mechanical Engineering. According to data from OpenAlex, Hua Dai has authored 134 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computational Theory and Mathematics, 30 papers in Numerical Analysis and 19 papers in Mechanical Engineering. Recurrent topics in Hua Dai's work include Matrix Theory and Algorithms (45 papers), Advanced Optimization Algorithms Research (18 papers) and Structural Health Monitoring Techniques (16 papers). Hua Dai is often cited by papers focused on Matrix Theory and Algorithms (45 papers), Advanced Optimization Algorithms Research (18 papers) and Structural Health Monitoring Techniques (16 papers). Hua Dai collaborates with scholars based in China, United States and Canada. Hua Dai's co-authors include Yongxin Yuan, Peter Lancaster, Huamin Zhang, Xiancai Jiang, Cheng Bi, Zhensheng Mai, Xi Zhang, Xianfeng Li, Ting Jiang and Rong Guan and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Journal of Power Sources.

In The Last Decade

Hua Dai

127 papers receiving 1.9k citations

Peers

Hua Dai
Comparison fields: 5 of 124
  • Computational Theory and Mathematics 508
  • Electrical and Electronic Engineering 491
  • Numerical Analysis 335
  • Biomedical Engineering 334
  • Materials Chemistry 243
Replace Junping Wang with:
Junping Wang China
Mohammed Rasheed Iraq
Zhijun Zhang China
Tingting Meng China
Da‐Wei Gu China
R. Sridhar India
Martin Guay Canada
Hooman Fatoorehchi Iran
Yonghui Sun China
Won Il Lee South Korea
Junping Wang China View profile →
Citations per field, relative to Hua Dai
Hua Dai · 1×
Citations per year, relative to Hua Dai
Hua Dai · 1×

Countries citing papers authored by Hua Dai

Since Specialization
Citations

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

Fields of papers citing papers by Hua Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Dai. A scholar is included among the top collaborators of Hua 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 Hua Dai. Hua 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 0
3 13
4 3
5 9
6
Determination of 72 pesticide residues in olive oil by online gel permeation chromatography gas chromatography-tandem mass spectrometry.
1
7 1
8
Eigensensitivity analysis for symmetric nonviscously damped systems with repeated eigenvalues
6
9 8
10 3
11 15
12 19
13 135
14 46
15 10
16
An inverse eigenvalue problem for grounding spring-mass systems
0
17 21
18
Sensitivity Analysis of Multiple Eigenvalues of Non-Symmetric Generalized Eigenvalue Problems
1
19 16
20
Determination of Imidacloprid in Rice by Solid Phase Extraction-HPLC
4

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

Rankless by CCL
2026