Shun‐Fa Hwang

1.7k citations
71 papers · 1.4k · h-index 20

Impact in

Papers in

Shun‐Fa Hwang

69 papers receiving 1.3k citations

Peers

Shun‐Fa Hwang
Comparison fields: 5 of 92
  • Mechanics of Materials 660
  • Civil and Structural Engineering 480
  • Mechanical Engineering 402
  • Computer Vision and Pattern Recognition 128
  • Statistics, Probability and Uncertainty 42
Replace Jérôme Pailhès with:
Jérôme Pailhès France
Hu Liu China
Jiaying Gao United States
Yuksel C. Yabansu United States
Navid Zobeiry United States
Lars Beex Luxembourg
Ganesh Subbarayan United States
Dianzi Liu United Kingdom
Gang Zhao China
Shun‐Fa Hwang relative to Jérôme Pailhès France Jérôme Pailhès's profile →
Citations per field
00.5×2.6×
Jérôme Pailhès · 1×
Citations per year

Countries citing papers authored by Shun‐Fa Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Shun‐Fa Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shun‐Fa Hwang. 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 Shun‐Fa Hwang. The network helps show where Shun‐Fa Hwang may publish in the future.

Co-authors

The 16 scholars most cited alongside Shun‐Fa Hwang, 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 Shun‐Fa Hwang Line = papers co-authored together Shun‐Fa Hwang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006171
2 2005100
3 200184
4 200081
5 200672
6 200961
7 200752
8 200151
9 201248
10 200942
11 201040
12 201031
13 200228
14 201425
15 199924
16 199923
17 201022
18 200421
19 200720
20 200719

About Shun‐Fa Hwang

Shun‐Fa Hwang is a scholar working on Mechanics of Materials, Mechanical Engineering, Civil and Structural Engineering, Biomedical Engineering and Computational Mechanics, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mechanical Behavior of Composites (22 papers), Composite Structure Analysis and Optimization (18 papers), Structural Health Monitoring Techniques (13 papers), Advanced Surface Polishing Techniques (8 papers), Metal and Thin Film Mechanics (8 papers), Fatigue and fracture mechanics (8 papers), Optical measurement and interference techniques (7 papers) and Ion-surface interactions and analysis (6 papers). The work is most often cited by research in Mechanics of Materials (660 citations), Civil and Structural Engineering (480 citations), Mechanical Engineering (402 citations), Computer Vision and Pattern Recognition (128 citations) and Statistics, Probability and Uncertainty (42 citations). Shun‐Fa Hwang has collaborated with scholars based in Taiwan, Lithuania and Latvia. Frequent co-authors include Rong-Song He, Te‐Hua Fang, Chia-Lung Kuo, Hsien‐Kuang Liu, Weijie Wu, Cho-Liang Tsai, Chih‐Ching Huang, S. C. Wooh, Haijun Wang and Yangyang Du. Their work appears in journals such as Polymer Composites, Composite Structures, Computational Materials Science, Materials and Journal of Composite Materials.

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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