Yuxiang Song

4.0k citations
100 papers · 3.0k indexed · 1 hit paper · h-index 29

Yuxiang Song

91 papers receiving 2.9k citations

Hit Papers

Nanofluids application in machining: a comprehensive review1022023202620242025255075100

Peers

Yuxiang Song
Comparison fields: 5 of 145
  • Materials Chemistry 1.3k
  • Agronomy and Crop Science 249
  • Renewable Energy, Sustainability and the Environment 245
  • Biochemistry 93
  • Animal Science and Zoology 109
Replace Anca Dinischiotu with:
Anca Dinischiotu Romania
Hyun Jeong Lee South Korea
Xuejiao Wang China
M. Pospíšil Czechia
Huan Yang China
Qiangqiang Li China
Shiwei Hu China
Xingxing Zhang China
Xiaorong Hu China
Zhengchao Wang China
Yuxiang Song relative to Anca Dinischiotu Romania Anca Dinischiotu's profile →
Citations per field
00.5×10.0×
Anca Dinischiotu · 1×
Citations per year

Countries citing papers authored by Yuxiang Song

Since Specialization
Citations

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

Fields of papers citing papers by Yuxiang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20244
4 20245
5 20234
6 202313
7
Nanofluids application in machining: a comprehensive reviewbreakdown →
2023102
8 20231
9 20236
10 20232
11 20225
12 202210
13 202218
14 202211
15 202122
16 202119
17 202115
18 2018216
19 201866
20 20135

About Yuxiang Song

Yuxiang Song is a scholar working on Agronomy and Crop Science, Biochemistry and Epidemiology, having authored 100 papers that have together received 3.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (16 papers), Reproductive Physiology in Livestock (15 papers), Autophagy in Disease and Therapy (15 papers), Carbon and Quantum Dots Applications (13 papers), Adipose Tissue and Metabolism (10 papers), Lipid metabolism and disorders (10 papers), Nanocluster Synthesis and Applications (8 papers) and Diet, Metabolism, and Disease (8 papers). The work is most often cited by research in Materials Chemistry (1.3k citations), Agronomy and Crop Science (249 citations) and Renewable Energy, Sustainability and the Environment (245 citations). Yuxiang Song has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Zhenhui Kang, Yang Liu, Hui Huang, Hao Li, Mengling Zhang, Huibo Wang, Xinwei Li, Guowen Liu, Fang Lü and Mingwang Shao. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.

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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