Shihong Yin
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 10%
- Biomedical Engineering
- Topics
- Robotic Path Planning Algorithms (11 papers)Metaheuristic Optimization Algorithms Research (7 papers)Maritime Navigation and Safety (6 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputational Theory and MathematicsArtificial Intelligence
- Partner nations
- ChinaMalaysiaUnited States
In The Last Decade
Shihong Yin
20 papers receiving 350 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 168
- Computational Theory and Mathematics 96
- Computer Vision and Pattern Recognition 94
- Industrial and Manufacturing Engineering 60
- Biomedical Engineering 46
Countries citing papers authored by Shihong Yin
This map shows the geographic impact of Shihong 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 Shihong Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shihong Yin more than expected).
Fields of papers citing papers by Shihong Yin
This network shows the impact of papers produced by Shihong 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 Shihong Yin. The network helps show where Shihong Yin may publish in the future.
Co-authorship network of co-authors of Shihong Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Shihong Yin. A scholar is included among the top collaborators of Shihong 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 Shihong Yin. Shihong 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 | 0 | |
| 2 | Collaborative path planning of multi-unmanned surface vehicles via multi-stage constrained multi-objective optimizationbreakdown → | 15 |
| 3 | 11 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 30 | |
| 10 | 8 | |
| 11 | 18 | |
| 12 | 30 | |
| 13 | 28 | |
| 14 | 54 | |
| 15 | 27 | |
| 16 | 25 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 11 | |
| 20 | 45 |
About Shihong Yin
Shihong Yin is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Ocean Engineering, having authored 23 papers that have together received 358 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Maritime Navigation and Safety (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (60 citations), Computational Theory and Mathematics (96 citations) and Artificial Intelligence (168 citations). Shihong Yin has collaborated with scholars based in China, Malaysia and United States. Frequent co-authors include Yongquan Zhou, Qifang Luo, Zhengrong Xiang, Guo Zhou, Yanlian Du, Yunhui Zhang, Wu Deng, Xiaoqi Chen, Ronghao Wang and Zalinda Othman. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and Neurocomputing.
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.