Yin-Shan Wang
- Fluid Flow and Transfer Processes top 2%
- Biomedical Engineering
- Computational Mechanics top 5%
- Cognitive Neuroscience top 10%
- Automotive Engineering top 5%
- Co-authors
- C.S. CheungChuanhui ChengBaoliang ChenDingfei HuTat Leung ChanShuncheng LeeChunde YaoChunxiao Xu
- Topics
- Functional Brain Connectivity Studies (14 papers)Advanced MRI Techniques and Applications (5 papers)Advanced Neuroimaging Techniques and Applications (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yin-Shan Wang
32 papers receiving 894 citations
Peers
Comparison fields: 5 of 126
- Fluid Flow and Transfer Processes 306
- Biomedical Engineering 235
- Computational Mechanics 196
- Cognitive Neuroscience 183
- Automotive Engineering 164
Countries citing papers authored by Yin-Shan Wang
This map shows the geographic impact of Yin-Shan Wang'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 Yin-Shan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin-Shan Wang more than expected).
Fields of papers citing papers by Yin-Shan Wang
This network shows the impact of papers produced by Yin-Shan Wang. 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 Yin-Shan Wang. The network helps show where Yin-Shan Wang may publish in the future.
Co-authorship network of co-authors of Yin-Shan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yin-Shan Wang. A scholar is included among the top collaborators of Yin-Shan Wang 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 Yin-Shan Wang. Yin-Shan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 14 | |
| 8 | 29 | |
| 9 | 28 | |
| 10 | 5 | |
| 11 | 22 | |
| 12 | 33 | |
| 13 | 29 | |
| 14 | 14 | |
| 15 | 17 | |
| 16 | 17 | |
| 17 | Interspecific relationship among the plants in Ebinur lake wetland | 1 |
| 18 | 117 | |
| 19 | Influence of Diesel Oil/Methanol Compound Combustion Function on Diesel Engine Performance | 2 |
| 20 | Application of Earth Cellular Work for Slope Protection | 1 |
About Yin-Shan Wang
Yin-Shan Wang is a scholar working on Cognitive Neuroscience, Fluid Flow and Transfer Processes and Hardware and Architecture, having authored 33 papers that have together received 915 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (14 papers), Advanced MRI Techniques and Applications (5 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (306 citations), Automotive Engineering (164 citations) and Pollution (120 citations). Yin-Shan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include C.S. Cheung, Chuanhui Cheng, Baoliang Chen, Dingfei Hu, Tat Leung Chan, Shuncheng Lee, Chunde Yao, Chunxiao Xu, Xi‐Nian Zuo and Wei‐Xi Huang. Their work appears in journals such as NeuroImage, Journal of Hazardous Materials and Energy Conversion and Management.
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.