Jin Shang

42 papers receiving 479 citations

Peers

Jin Shang
Comparison fields: 5 of 96
  • Public Health, Environmental and Occupational Health 139
  • Materials Chemistry 119
  • Genetics 109
  • Electrical and Electronic Engineering 90
  • Electronic, Optical and Magnetic Materials 90
Replace Honghui Liu with:
Honghui Liu China
Dongwei Huang China
LI Ya China
Kevin S. Zhang United States
C. Auguet Spain
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Jin Shang relative to Honghui Liu China Honghui Liu's profile →
Citations per field
00.5×10×15×21.8×
Honghui Liu · 1×
Citations per year

Countries citing papers authored by Jin Shang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Shang. A scholar is included among the top collaborators of Jin Shang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Shang. Jin Shang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
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4 1
5
Topological defects govern plasticity and shear band formation in two-dimensional amorphous solids
1
6 0
7 0
8 10
9 4
10 11
11 16
12 5
13 12
14 9
15
REGRESSION-BASED BUILDING ENERGY PERFORMANCE ASSESSMENT USING BUILDING INFORMATION MODEL (BIM)
3
16 6
17
Experimental Research on the Expansion Refrigeration Technology for Natural Gas Dehydration and Dealkylation
1
18 13
19
Combined bidding strategy and model for power suppliers based on CVaR risk measurement techniques
16
20
AN INTRODUCTION TO FOREIGN BALANCING MARKET MECHANISM AND SUGGESTIONS ON CONSTRUCTING REAL-TIME BALANCING MARKET IN CHINA
1

About Jin Shang

Jin Shang is a scholar working on Modeling and Simulation, Automotive Engineering and Computational Mechanics, having authored 50 papers that have together received 497 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (7 papers), Material Dynamics and Properties (6 papers) and Advanced Battery Technologies Research (4 papers). The work is most often cited by research in Modeling and Simulation (64 citations), Electronic, Optical and Magnetic Materials (90 citations) and Public Health, Environmental and Occupational Health (139 citations). Jin Shang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bingtuan Li, William F. Fagan, Sharon Bewick, Lei Zhang, Wei Kuang, Jia Yang, Shu Hao, Chao Wei, Fang Bai and Bo Lü. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Applied Physics Letters.

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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