Lin Yan
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 5%
- Industrial and Manufacturing Engineering top 5%
- Artificial Intelligence
- Topics
- Data Visualization and Analytics (6 papers)Topological and Geometric Data Analysis (6 papers)Optimization and Packing Problems (5 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Graphics and Computer-Aided DesignComputational Theory and Mathematics
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Lin Yan
56 papers receiving 531 citations
Peers
Comparison fields: 5 of 110
- Mechanical Engineering 141
- Computer Vision and Pattern Recognition 94
- Computational Theory and Mathematics 92
- Industrial and Manufacturing Engineering 74
- Artificial Intelligence 62
Countries citing papers authored by Lin Yan
This map shows the geographic impact of Lin Yan'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 Lin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Yan more than expected).
Fields of papers citing papers by Lin Yan
This network shows the impact of papers produced by Lin Yan. 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 Lin Yan. The network helps show where Lin Yan may publish in the future.
Co-authorship network of co-authors of Lin Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Lin Yan. A scholar is included among the top collaborators of Lin Yan 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 Lin Yan. Lin Yan 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | Reducing Boil-off Rate for Bi-Lobed Tank on Small-Scale LNG Carrier | 1 |
| 9 | An Isogeometric Analysis Approach for Hull Structural Mechanical Analysis | 1 |
| 10 | 6 | |
| 11 | 36 | |
| 12 | Current status and development trend of power quality monitoring system | 13 |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 5 | |
| 17 | A novel soft-switching communication power converter | 2 |
| 18 | 1 | |
| 19 | 0 | |
| 20 | Personal computer aided cerebral perfusion imaging with dynamic CT | 2 |
About Lin Yan
Lin Yan is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 63 papers that have together received 549 indexed citations. Recurring topics across this work include Data Visualization and Analytics (6 papers), Topological and Geometric Data Analysis (6 papers) and Optimization and Packing Problems (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (74 citations), Computer Graphics and Computer-Aided Design (23 citations) and Computational Theory and Mathematics (92 citations). Lin Yan has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Gaohong He, Junjiang Bao, Bei Wang, Ruixiang Zhang, Ning Zhang, JI Zhuo-shang, Ingrid Hotz, Heng Huang, Weiying Zhang and Hua Wang. Their work appears in journals such as Bioinformatics, Energy Conversion and Management and IEEE Access.
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.