Guang Shi

5.9k total citations · 1 hit paper
198 papers, 4.8k citations indexed

About

Guang Shi is a scholar working on Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Guang Shi has authored 198 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Materials Chemistry, 72 papers in Biomedical Engineering and 58 papers in Electrical and Electronic Engineering. Recurrent topics in Guang Shi's work include Nonlinear Optical Materials Studies (40 papers), Luminescence and Fluorescent Materials (37 papers) and Organic Light-Emitting Diodes Research (23 papers). Guang Shi is often cited by papers focused on Nonlinear Optical Materials Studies (40 papers), Luminescence and Fluorescent Materials (37 papers) and Organic Light-Emitting Diodes Research (23 papers). Guang Shi collaborates with scholars based in China, United States and Germany. Guang Shi's co-authors include Yinglin Song, Cong Liu, Ming Qiu Zhang, Min Zhi Rong, Bingjia Xu, Zhenguo Chi, Xueru Zhang, Bernd Wetzel, K. Friedrich and Jian‐An Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Guang Shi

186 papers receiving 4.7k citations

Hit Papers

Enabling Highly Robust Full‐Color Ultralong Room‐Temperat... 2024 2026 2025 2024 20 40 60

Peers

Guang Shi
Comparison fields: 5 of 171
  • Materials Chemistry 2.4k
  • Electrical and Electronic Engineering 1.7k
  • Biomedical Engineering 1.1k
  • Polymers and Plastics 966
  • Electronic, Optical and Magnetic Materials 512
Replace Wen‐Li Wu with:
Wen‐Li Wu United States
Kenneth R. Carter United States
Xin Tong China
Xiaomei Wang China
David G. Bucknall United Kingdom
Youn Sang Kim South Korea
Nikodem Tomczak Singapore
Quan Lin China
June Huh South Korea
Jing‐Jong Shyue Taiwan
Wen‐Li Wu United States View profile →
Citations per field, relative to Guang Shi
Guang Shi · 1×
Citations per year, relative to Guang Shi
Guang Shi · 1×

Countries citing papers authored by Guang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Guang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Shi. A scholar is included among the top collaborators of Guang Shi 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 Guang Shi. Guang Shi 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
# Work Indexed citations
1 2
2 5
3 13
4 14
5 16
6 2
7 1
8 6
9 20
10 10
11 14
12 11
13 6
14 2
15 0
16 23
17 5
18 19
19 58
20
Research and implementation of memory virtualization based on EPT
1

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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