Fang Da

1.5k citations
77 papers · 1.1k · h-index 18

Impact in

Papers in

Fang Da

70 papers receiving 1.1k citations

Peers

Fang Da
Comparison fields: 5 of 121
  • Computer Graphics and Computer-Aided Design 104
  • Computational Mechanics 190
  • Industrial and Manufacturing Engineering 72
  • Automotive Engineering 77
  • Atomic and Molecular Physics, and Optics 176
Replace Andrew J Lewis with:
Andrew J Lewis United Kingdom
Jianjun Chen China
Tao Luo China
Lili Dong China
Olivier Teytaud France
Amitava Bagchi India
Raymond G. Bayer United States
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Fang Da relative to Andrew J Lewis United Kingdom Andrew J Lewis's profile →
Citations per field
00.5×1.5×2.2×
Andrew J Lewis · 1×
Citations per year

Countries citing papers authored by Fang Da

Since Specialization
Citations

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

Fields of papers citing papers by Fang Da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202098
2 201489
3 200272
4 201569
5 201660
6 202360
7 201550
8 201448
9 202136
10 201631
11 200330
12 201027
13 202227
14 198923
15 200022
16 202221
17 200020
18 202220
19 200817
20 202017

About Fang Da

Fang Da is a scholar working on Computer Graphics and Computer-Aided Design, Electrical and Electronic Engineering, Aerospace Engineering, Computational Mechanics and Atomic and Molecular Physics, and Optics, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Electromagnetic Simulation and Numerical Methods (12 papers), Electromagnetic Scattering and Analysis (12 papers), Microwave Engineering and Waveguides (10 papers), Computer Graphics and Visualization Techniques (7 papers), Advanced Antenna and Metasurface Technologies (7 papers), 3D Shape Modeling and Analysis (4 papers), Electromagnetic Compatibility and Measurements (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (104 citations), Computational Mechanics (190 citations), Industrial and Manufacturing Engineering (72 citations), Automotive Engineering (77 citations) and Atomic and Molecular Physics, and Optics (176 citations). Fang Da has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Eitan Grinspun, Christopher Batty, Mohammad Khalid Jawed, Pedro M. Reis, Chris Wojtan, Chi Hou Chan, EDWARD K. N. YUNG, Ke‐Li Wu, Rushan Chen and Guanjun Lin. Their work appears in journals such as IEEE Transactions on Microwave Theory and Techniques, Microwave and Optical Technology Letters, ACM Transactions on Graphics, Science Progress and International Journal of Heat and Mass Transfer.

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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