Xiaotian Yin
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Topics
- 3D Shape Modeling and Analysis (9 papers)Computer Graphics and Visualization Techniques (7 papers)Advanced Numerical Analysis Techniques (7 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsComputer Vision and Pattern Recognition
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xiaotian Yin
29 papers receiving 402 citations
Peers
Comparison fields: 5 of 76
- Computational Mechanics 152
- Computer Graphics and Computer-Aided Design 145
- Computer Vision and Pattern Recognition 96
- Computer Networks and Communications 91
- Electrical and Electronic Engineering 47
Countries citing papers authored by Xiaotian Yin
This map shows the geographic impact of Xiaotian Yin'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 Xiaotian Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaotian Yin more than expected).
Fields of papers citing papers by Xiaotian Yin
This network shows the impact of papers produced by Xiaotian Yin. 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 Xiaotian Yin. The network helps show where Xiaotian Yin may publish in the future.
Co-authorship network of co-authors of Xiaotian Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotian Yin. A scholar is included among the top collaborators of Xiaotian Yin 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 Xiaotian Yin. Xiaotian Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | Guided Exploration in Deep Reinforcement Learning | 0 |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 57 | |
| 10 | 23 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 49 | |
| 14 | 31 | |
| 15 | 77 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 27 | |
| 20 | 2 |
About Xiaotian Yin
Xiaotian Yin is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Geometry and Topology, having authored 30 papers that have together received 417 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (9 papers), Computer Graphics and Visualization Techniques (7 papers) and Advanced Numerical Analysis Techniques (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (145 citations), Computational Mechanics (152 citations) and Computer Vision and Pattern Recognition (96 citations). Xiaotian Yin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xianfeng Gu, Jie Gao, Feng Luo, Rik Sarkar, Linda F. Nazar, Miao Jin, Paul M. Thompson, Yalin Wang, Wei Zeng and Tony F. Chan. Their work appears in journals such as IEEE Transactions on Medical Imaging, Molecular Phylogenetics and Evolution and Powder Technology.
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.