Yang Shang

4.7k citations
181 papers · 3.7k · 1 hit paper · h-index 29

Impact in

Papers in

Yang Shang

161 papers receiving 3.6k citations

Yang Shang's Hit Papers

Unconventional Mn Vacancies in Mn–Fe Prussian Blue Analogs: Suppressing Jahn-Teller Distortion for Ultrastable Sodium Storage 2020 · 346 citations
3460+2+4Years since publication100200300

Peers

Yang Shang
Comparison fields: 5 of 126
  • Electronic, Optical and Magnetic Materials 740
  • Electrical and Electronic Engineering 2.3k
  • Renewable Energy, Sustainability and the Environment 375
  • Computer Vision and Pattern Recognition 440
  • Materials Chemistry 923
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Citations per field
00.5×1.5×1.9×
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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-authors

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

Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Unconventional Mn Vacancies in Mn–Fe Prussian Blue Analogs: Suppressing Jahn-Teller Distortion for Ultrastable Sodium Storage
Hit paper breakdown →
2020346
2 2015216
3 2020212
4 2021173
5 2019114
6 2019113
7 2019102
8 201186
9 202175
10 202373
11 202272
12 201271
13 202168
14 201968
15 202267
16 202066
17 202463
18 201460
19 201955
20 201255

About Yang Shang

Yang Shang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, Media Technology and Geology, having authored 181 papers that have together received 3.7k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (33 papers), Advancements in Battery Materials (29 papers), Advanced Vision and Imaging (28 papers), Optical measurement and interference techniques (24 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 (740 citations), Electrical and Electronic Engineering (2.3k citations), Renewable Energy, Sustainability and the Environment (375 citations), Computer Vision and Pattern Recognition (440 citations) and Materials Chemistry (923 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, Zhao Yang, Daliang Fang, Ye Wang and Zhichuan Jason Xu. Their work appears in journals such as Science China Technological Sciences, Applied Optics, IEEE Transactions on Microwave Theory and Techniques, Advanced Science and Optik.

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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