Kai Song

2.6k citations
93 papers · 2.0k indexed · 1 hit paper · h-index 25

Kai Song

84 papers receiving 2.0k citations

Hit Papers

Enhancing Soil Health and Plant Growth through Microbial ...112202420262025255075100

Peers

Kai Song
Comparison fields: 5 of 120
  • Biomaterials 987
  • Mechanical Engineering 979
  • Materials Chemistry 893
  • Aerospace Engineering 308
  • Electronic, Optical and Magnetic Materials 165
Replace Mingwei Li with:
Mingwei Li China
Liyan Liang China
Erbao Liu China
Shuguang Zhang China
Xiaoqing Zhang China
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Ramón Pamies Spain
Zhang China
Dan Lin China
Jianjun Yuan China
Kai Song relative to Mingwei Li China Mingwei Li's profile →
Citations per field
00.5×4.6×
Mingwei Li · 1×
Citations per year

Countries citing papers authored by Kai Song

Since Specialization
Citations

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

Fields of papers citing papers by Kai Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20250
5 20252
6 20250
7 20243
8 202410
9 202424
10 202413
11 202311
12 20236
13 20231
14 201928
15
A Time-Saving Method to Prepare Monodisperse Fe3O4 Microspheres with Controllable Sizes and Morphologies
20171
16 20175
17
Literature review of mechanical performance of cold-formed thin-walled steel composite floors
20162
18 201512
19
A THEORETICAL EXPLORATION INTO DURABILITY OF CARBON NANOTUBES CEMENT-BASED MATERIALS
20113
20 200013

About Kai Song

Kai Song is a scholar working on Nuclear Energy and Engineering, Biomaterials and Acoustics and Ultrasonics, having authored 93 papers that have together received 2.0k indexed citations. Recurring topics across this work include Aluminum Alloys Composites Properties (20 papers), Magnesium Alloys: Properties and Applications (16 papers), Molecular Sensors and Ion Detection (9 papers), Nanoparticles: synthesis and applications (8 papers), Advanced Nanomaterials in Catalysis (7 papers), Aluminum Alloy Microstructure Properties (7 papers), Electrochemical sensors and biosensors (6 papers) and Carbon and Quantum Dots Applications (6 papers). The work is most often cited by research in Biomaterials (987 citations), Mechanical Engineering (979 citations) and Materials Chemistry (893 citations). Kai Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fusheng Pan, Aitao Tang, Jia She, Hucheng Pan, Chaoyong Zhao, Zhengwen Yu, Jianyue Zhang, Peng Peng, A.T. Tang and Xianhua Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

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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