Min Shang

1.0k citations
58 papers · 769 · h-index 13

Impact in

Papers in

Min Shang

52 papers receiving 741 citations

Peers

Min Shang
Comparison fields: 5 of 95
  • Water Science and Technology 176
  • Computer Vision and Pattern Recognition 183
  • Life-span and Life-course Studies 5
  • Industrial and Manufacturing Engineering 42
  • Ocean Engineering 67
Replace Pengcheng Liu with:
Pengcheng Liu China
Mo Zhou China
Wesam Atef Hatamleh Saudi Arabia
Jing Ren China
Jangho Lee South Korea
Ruth E. Falconer United Kingdom
Jiqing Liu China
Silvia Merlino Italy
Min Shang relative to Pengcheng Liu China Pengcheng Liu's profile →
Citations per field
00.5×6.3×
Pengcheng Liu · 1×
Citations per year

Countries citing papers authored by Min Shang

Since Specialization
Citations

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

Fields of papers citing papers by Min Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015171
2 2021163
3 201662
4 201352
5 201534
6 201923
7 201622
8 201621
9 202019
10 202118
11 201917
12 202212
13 201912
14 202111
15 202011
16 201810
17 202110
18 20218
19 20247
20 20167

About Min Shang

Min Shang is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Mechanics of Materials, Civil and Structural Engineering and Management, Monitoring, Policy and Law, having authored 58 papers that have together received 769 indexed citations. Recurring topics across this work include Electronic Packaging and Soldering Technologies (19 papers), 3D IC and TSV technologies (13 papers), Landslides and related hazards (5 papers), Aluminum Alloy Microstructure Properties (5 papers), Remote Sensing and Land Use (4 papers), Image Enhancement Techniques (4 papers), Intermetallics and Advanced Alloy Properties (4 papers) and Sport and Mega-Event Impacts (3 papers). The work is most often cited by research in Water Science and Technology (176 citations), Computer Vision and Pattern Recognition (183 citations), Life-span and Life-course Studies (5 citations), Industrial and Manufacturing Engineering (42 citations) and Ocean Engineering (67 citations). Min Shang has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Ji Luo, Xiu Li, Hongwei Qin, Liansheng Chen, Ian D. Rotherham, Haoran Ma, Zhixiong Yang, Chong Dong, Yongli Zhao and Hongwei Qin. Their work appears in journals such as Journal of Materials Science Materials in Electronics, Materials Characterization, Metals, Construction and Building Materials and Journal of Alloys and Compounds.

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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