Yu Song
- Artificial Intelligence top 10%
- Health, Toxicology and Mutagenesis
- Physiology
- Nutrition and Dietetics
- Mechanical Engineering
- Topics
- Topic Modeling (6 papers)Heat Transfer Mechanisms (4 papers)Advanced Graph Neural Networks (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioresource TechnologyScientific Reports
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Yu Song
36 papers receiving 247 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 94
- Health, Toxicology and Mutagenesis 41
- Physiology 32
- Nutrition and Dietetics 31
- Mechanical Engineering 24
Countries citing papers authored by Yu Song
This map shows the geographic impact of Yu 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 Yu Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Song more than expected).
Fields of papers citing papers by Yu Song
This network shows the impact of papers produced by Yu 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 Yu Song. The network helps show where Yu Song may publish in the future.
Co-authorship network of co-authors of Yu Song
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Song. A scholar is included among the top collaborators of Yu Song 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 Yu Song. Yu Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | Hydrogen Sulfide Protects Against High Glucose-Induced Human Umbilical Vein Endothelial Cell Injury Through Activating PI3K/Akt/eNOS Pathway | 4 |
| 16 | Nephrotic syndrome complicated with disseminated Cryptococcus neoformans infection: one case report | 1 |
| 17 | Double-Circular-Arc Tooth Profile Design and Movement Simulation Verification of Harmonic Drive with Continuously Conjugated Transmission in Entire Engagement Region | 0 |
| 18 | Mineral prospecting and its related approaches in Duocaima Pb-Zn deposit in Tuotuohe,Qinghai Province | 4 |
| 19 | 60 | |
| 20 | Enterprise integration platform framework based on Web services | 1 |
About Yu Song
Yu Song is a scholar working on Artificial Intelligence, Molecular Medicine and Fluid Flow and Transfer Processes, having authored 40 papers that have together received 252 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Heat Transfer Mechanisms (4 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Health Informatics (5 citations), Health, Toxicology and Mutagenesis (41 citations) and Artificial Intelligence (94 citations). Yu Song has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Kunli Zhang, Haihua Zhao, Xiaoling Li, Lijie Yao, Donglin Wang, Bang Liu, Santiago Miret, Ziyang Chen, Zhenping Feng and Xiangyu Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioresource Technology 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.