H.M. Shang

2.6k citations
141 papers · 2.0k · h-index 21

Impact in

Papers in

H.M. Shang

136 papers receiving 1.9k citations

Peers

H.M. Shang
Comparison fields: 5 of 96
  • Surfaces, Coatings and Films 406
  • Computer Vision and Pattern Recognition 765
  • Media Technology 228
  • Mechanics of Materials 625
  • Computational Mechanics 460
Replace Xiaojun Liu with:
Xiaojun Liu China
Michael A. Groeber United States
John R. Tyrer United Kingdom
J. W. Dally United States
Dae Wook Kim United States
K. Ramesh India
Hareesh V. Tippur United States
Zixing Lu China
Shuncong Zhong China
Cemal Basaran United States
H.M. Shang relative to Xiaojun Liu China Xiaojun Liu's profile →
Citations per field
00.5×6.5×
Xiaojun Liu · 1×
Citations per year

Countries citing papers authored by H.M. Shang

Since Specialization
Citations

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

Fields of papers citing papers by H.M. Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.M. Shang. 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 H.M. Shang. The network helps show where H.M. Shang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004346
2 2005146
3 2007122
4 2001106
5 200265
6 200347
7 200042
8 199540
9 199139
10 199538
11 200036
12 200134
13 199831
14 200028
15 199926
16 200026
17 199825
18 200123
19 199922
20 199621

About H.M. Shang

H.M. Shang is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Mechanics of Materials, Computational Mechanics and Electrical and Electronic Engineering, having authored 141 papers that have together received 2.0k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (66 papers), Advanced Measurement and Metrology Techniques (35 papers), Surface Roughness and Optical Measurements (25 papers), Metal Forming Simulation Techniques (24 papers), Ultrasonics and Acoustic Wave Propagation (18 papers), Structural Health Monitoring Techniques (15 papers), Mechanical Behavior of Composites (15 papers) and Laser and Thermal Forming Techniques (13 papers). The work is most often cited by research in Surfaces, Coatings and Films (406 citations), Computer Vision and Pattern Recognition (765 citations), Media Technology (228 citations), Mechanics of Materials (625 citations) and Computational Mechanics (460 citations). H.M. Shang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include C.J. Tay, Chenggen Quan, Guozhong Cao, Katsunori Takahashi, S.L. Toh, Ying Wang, Steven J. Limmer, Tammy P. Chou, F.S. Chau and K.Y. Lam. Their work appears in journals such as Optics & Laser Technology, Optics and Lasers in Engineering, Journal of Materials Processing Technology, Journal of Engineering Materials and Technology and Optics Communications.

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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