Huaian Diao

1.0k citations
68 papers · 674 indexed · h-index 15

Huaian Diao

65 papers receiving 620 citations

Peers

Huaian Diao
Comparison fields: 5 of 43
  • Numerical Analysis 184
  • Mathematical Physics 242
  • Computational Theory and Mathematics 390
  • Applied Mathematics 184
  • Computational Mathematics 10
Replace Laurent Baratchart with:
Laurent Baratchart France
Mårten Gulliksson Sweden
Carlo Garoni Italy
Silvia Noschese Italy
Yueh‐Cheng Kuo Taiwan
Tongsong Jiang China
Hugo J. Woerdeman United States
M. Thamban Nair India
Aurél Galántai Hungary
C. Palencia Spain
Huaian Diao relative to Laurent Baratchart France Laurent Baratchart's profile →
Citations per field
00.5×10×16.3×
Laurent Baratchart · 1×
Citations per year

Countries citing papers authored by Huaian Diao

Since Specialization
Citations

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

Fields of papers citing papers by Huaian Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20257
2 20251
3 20254
4 20251
5 20246
6 202310
7 20237
8 202112
9 20219
10
On nodal and generalized singular structures of Laplacian eigenfunctions and applications
20192
11 20192
12
On the geometric structures of conductive transmission eigenfunctions and its application
20181
13 201816
14 20172
15 20178
16
Condition number for weighted linear least squares problem
20077
17 200610
18 200514
19 200415
20 200415

About Huaian Diao

Huaian Diao is a scholar working on Numerical Analysis, Mathematical Physics and Computational Theory and Mathematics, having authored 68 papers that have together received 674 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (29 papers), Numerical methods in inverse problems (26 papers), Microwave Imaging and Scattering Analysis (19 papers), Electromagnetic Scattering and Analysis (18 papers), Advanced Optimization Algorithms Research (16 papers), Statistical and numerical algorithms (9 papers), Ultrasonics and Acoustic Wave Propagation (7 papers) and Numerical methods for differential equations (6 papers). The work is most often cited by research in Numerical Analysis (184 citations), Mathematical Physics (242 citations) and Computational Theory and Mathematics (390 citations). Huaian Diao has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Yimin Wei, Hongyu Liu, Felipe Cucker, Sanzheng Qiao, Hua Xiang, Jun Zou, Li Wang, Pengpeng Xie, Li Wang and Yang Sun. Their work appears in journals such as Journal of Computational Physics, Mathematics of Computation and Applied Mathematics and Computation.

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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