Song Shu

2.0k total citations
59 papers, 1.7k citations indexed

About

Song Shu is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Mechanical Engineering. According to data from OpenAlex, Song Shu has authored 59 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Materials Chemistry, 27 papers in Renewable Energy, Sustainability and the Environment and 14 papers in Mechanical Engineering. Recurrent topics in Song Shu's work include Advanced Photocatalysis Techniques (21 papers), Catalytic Processes in Materials Science (19 papers) and Industrial Gas Emission Control (14 papers). Song Shu is often cited by papers focused on Advanced Photocatalysis Techniques (21 papers), Catalytic Processes in Materials Science (19 papers) and Industrial Gas Emission Control (14 papers). Song Shu collaborates with scholars based in China, United States and Japan. Song Shu's co-authors include Yinghao Chu, Ningjie Fang, Jiaxiu Guo, Guangming Jiang, Fan Dong, Liqiang Jing, Honggang Fu, Jianjun Li, Jianjun Li and Shudan Li and has published in prestigious journals such as Advanced Functional Materials, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Song Shu

57 papers receiving 1.7k citations

Peers

Song Shu
Comparison fields: 5 of 88
  • Materials Chemistry 975
  • Renewable Energy, Sustainability and the Environment 742
  • Catalysis 388
  • Electrical and Electronic Engineering 318
  • Biomedical Engineering 310
Replace Jianghao Zhang with:
Jianghao Zhang China
Chiara Genovese Italy
Lea R. Winter United States
Tong Liu China
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Jianghao Zhang China View profile →
Citations per field, relative to Song Shu
Song Shu · 1×
Citations per year, relative to Song Shu
Song Shu · 1×

Countries citing papers authored by Song Shu

Since Specialization
Citations

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

Fields of papers citing papers by Song Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Song Shu. A scholar is included among the top collaborators of Song Shu 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 Song Shu. Song Shu 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 1
2 0
3 5
4 3
5 3
6 4
7 9
8 94
9 76
10 15
11 4
12 2
13 4
14 15
15 48
16 19
17 24
18 38
19
Robot Path Planning Based on Ant Colony Optimization and Particle Swarm Optimization
1
20
AN INVESTIGATION OF PLANTS ON THE TAILINGS OF ABANDONED NONFERROUS MINES IN THE DIAOJIANG BASIN OF GUANGXI
2

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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