Yang Shang

4.3k citations
173 papers · 3.3k indexed · 1 hit paper · h-index 27

Yang Shang

150 papers receiving 3.2k citations

Hit Papers

Unconventional Mn Vacancies in Mn–Fe Prussian Blue Analog...299202020262022202450100150200250

Peers

Yang Shang
Comparison fields: 5 of 125
  • Electronic, Optical and Magnetic Materials 722
  • Electrical and Electronic Engineering 2.2k
  • Renewable Energy, Sustainability and the Environment 353
  • Computer Vision and Pattern Recognition 394
  • Materials Chemistry 881
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Citations per field
00.5×2.9×
Xiuzhi Li · 1×
Citations per year

Countries citing papers authored by Yang Shang

Since Specialization
Citations

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

Fields of papers citing papers by Yang Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202510
2 20251
3 20250
4 20250
5 20250
6 20250
7 20251
8 20247
9 202419
10 20242
11 202317
12 20232
13 20230
14 20211
15 202019
16 20196
17 201941
18 201411
19
Introduction and Prospect of Videometrics
20082
20
The Research and Development of Machine of Disposing of Sugarcane Leaves which is Hollow Shaft Claw Style
20071

About Yang Shang

Yang Shang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, Instrumentation and Geology, having authored 173 papers that have together received 3.3k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (30 papers), Advancements in Battery Materials (29 papers), Advanced Vision and Imaging (23 papers), Optical measurement and interference techniques (22 papers), Advanced Battery Materials and Technologies (19 papers), Microwave Engineering and Waveguides (18 papers), Infrared Target Detection Methodologies (15 papers) and Advanced Measurement and Detection Methods (14 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (722 citations), Electrical and Electronic Engineering (2.2k citations), Renewable Energy, Sustainability and the Environment (353 citations), Computer Vision and Pattern Recognition (394 citations) and Materials Chemistry (881 citations). Yang Shang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Hui Ying Yang, Lin Guo, Shaozhuan Huang, Hao Yu, Xiaoxia Li, Yumeng Shi, Daliang Fang, Zhao Yang, Ye Wang and Zhichuan J. Xu. Their work appears in journals such as Science China Technological Sciences, IEEE Transactions on Microwave Theory and Techniques, Applied Optics, Langmuir and Optics and Lasers in Engineering.

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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