Wanyu Liu
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Civil and Structural Engineering top 10%
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging
- Topics
- Advanced MRI Techniques and Applications (7 papers)Advanced Neuroimaging Techniques and Applications (4 papers)Chaos-based Image/Signal Encryption (4 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionCivil and Structural Engineering
- Journals
- SHILAP Revista de lepidopterologíaChemical CommunicationsOptics Express
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Wanyu Liu
57 papers receiving 717 citations
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 222
- Biomedical Engineering 125
- Civil and Structural Engineering 124
- Electrical and Electronic Engineering 81
- Radiology, Nuclear Medicine and Imaging 72
Countries citing papers authored by Wanyu Liu
This map shows the geographic impact of Wanyu 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 Wanyu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanyu Liu more than expected).
Fields of papers citing papers by Wanyu Liu
This network shows the impact of papers produced by Wanyu 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 Wanyu Liu. The network helps show where Wanyu Liu may publish in the future.
Co-authorship network of co-authors of Wanyu Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Wanyu Liu. A scholar is included among the top collaborators of Wanyu 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 Wanyu Liu. Wanyu 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 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | Pan-Cancer Analyses Confirmed the Ferroptosis-Related Gene SLC7A11 as a Prognostic Biomarker for Cancer | 21 |
| 11 | 20 | |
| 12 | 46 | |
| 13 | 23 | |
| 14 | 6 | |
| 15 | 8 | |
| 16 | 0 | |
| 17 | Research progress in cellulose hydrolysis by carbonaceous solid acid. | 3 |
| 18 | Comparision of Lung Cancer Grouping Based on Pattern Recognition | 2 |
| 19 | Test Method of Muzzle Brake Efficiency on Gun Carriage | 1 |
| 20 | 2 |
About Wanyu Liu
Wanyu Liu is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 59 papers that have together received 750 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (7 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Human-Computer Interaction (71 citations), Computer Vision and Pattern Recognition (222 citations) and Civil and Structural Engineering (124 citations). Wanyu Liu has collaborated with scholars based in China, France and United States. Frequent co-authors include Jianping Huang, Xiaoming Sun, Zhengjun Liu, Bernd Ploderer, Li She, Shutian Liu, Wei Liu, Thuong Hoang, Zilu Liang and Yuxuan Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemical Communications and Optics Express.
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.