Yu Shen
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering top 10%
- Computer Vision and Pattern Recognition
- Automotive Engineering
- Molecular Biology
- Topics
- Machine Learning and Data Classification (7 papers)Machine Learning and Algorithms (4 papers)Advanced Graph Neural Networks (3 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Yu Shen
32 papers receiving 275 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 127
- Industrial and Manufacturing Engineering 38
- Computer Vision and Pattern Recognition 37
- Automotive Engineering 32
- Molecular Biology 27
Countries citing papers authored by Yu Shen
This map shows the geographic impact of Yu Shen'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 Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Shen more than expected).
Fields of papers citing papers by Yu Shen
This network shows the impact of papers produced by Yu Shen. 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 Shen. The network helps show where Yu Shen may publish in the future.
Co-authorship network of co-authors of Yu Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Shen. A scholar is included among the top collaborators of Yu Shen 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 Shen. Yu Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 27 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 6 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 7 | |
| 19 | 3 | |
| 20 | 1 |
About Yu Shen
Yu Shen is a scholar working on Business and International Management, Filtration and Separation and Complementary and Manual Therapy, having authored 36 papers that have together received 285 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (7 papers), Machine Learning and Algorithms (4 papers) and Advanced Graph Neural Networks (3 papers). The work is most often cited by research in Orthodontics (24 citations), Artificial Intelligence (127 citations) and Industrial and Manufacturing Engineering (38 citations). Yu Shen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Bin Cui, Wentao Zhang, Jean‐Yves Potvin, Feng Shen, Run Wang, Jean‐Marc Rousseau, Ce Zhang, Yang Li, Zhi Yang and Bo Zhang. Their work appears in journals such as Bioinformatics, Expert Systems with Applications and Frontiers in Immunology.
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.