Yinghao Liu
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Mechanical Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering
- Topics
- Human Mobility and Location-Based Analysis (4 papers)COVID-19 epidemiological studies (4 papers)COVID-19 diagnosis using AI (4 papers)
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Yinghao Liu
20 papers receiving 241 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 52
- Biomedical Engineering 52
- Mechanical Engineering 49
- Artificial Intelligence 40
- Electrical and Electronic Engineering 22
Countries citing papers authored by Yinghao Liu
This map shows the geographic impact of Yinghao Liu'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 Yinghao Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinghao Liu more than expected).
Fields of papers citing papers by Yinghao Liu
This network shows the impact of papers produced by Yinghao Liu. 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 Yinghao Liu. The network helps show where Yinghao Liu may publish in the future.
Co-authorship network of co-authors of Yinghao Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yinghao Liu. A scholar is included among the top collaborators of Yinghao Liu 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 Yinghao Liu. Yinghao Liu 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 | UltraLight VM-UNet: Parallel Vision Mamba significantly reduces parameters for skin lesion segmentationbreakdown → | 30 |
| 3 | 0 | |
| 4 | 0 | |
| 5 | H-vmunet: High-order Vision Mamba UNet for medical image segmentationbreakdown → | 46 |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 61 | |
| 17 | 6 | |
| 18 | 8 | |
| 19 | 2 | |
| 20 | 2 |
About Yinghao Liu
Yinghao Liu is a scholar working on Modeling and Simulation, Transportation and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 247 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (4 papers), COVID-19 epidemiological studies (4 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Modeling and Simulation (14 citations), Computer Vision and Pattern Recognition (52 citations) and Condensed Matter Physics (18 citations). Yinghao Liu has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Qing Chang, Renkai Wu, Pengchen Liang, Aimin Zhang, Yu Xu, Yong Jin, Xu Xin, Guochen Ning, Ryosuke Shibasaki and Zipei Fan. Their work appears in journals such as Scientific Reports, ACS Applied Materials & Interfaces and MIS Quarterly.
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.