Weihuang Liu
- Immunology top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Oncology
- Co-authors
- Zengwei YaoJiahui PanChi‐Man PunXiaodong CunKezhen YiFubing WangChunhui YuanLanxiang Huang
- Topics
- Granular flow and fluidized beds (6 papers)Immunotherapy and Immune Responses (4 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Weihuang Liu
43 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Immunology 323
- Molecular Biology 281
- Computer Vision and Pattern Recognition 202
- Biomedical Engineering 173
- Oncology 170
Countries citing papers authored by Weihuang Liu
This map shows the geographic impact of Weihuang 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 Weihuang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weihuang Liu more than expected).
Fields of papers citing papers by Weihuang Liu
This network shows the impact of papers produced by Weihuang 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 Weihuang Liu. The network helps show where Weihuang Liu may publish in the future.
Co-authorship network of co-authors of Weihuang Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Weihuang Liu. A scholar is included among the top collaborators of Weihuang 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 Weihuang Liu. Weihuang 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 | 0 | |
| 3 | 11 | |
| 4 | 3 | |
| 5 | 19 | |
| 6 | 2 | |
| 7 | 27 | |
| 8 | 11 | |
| 9 | Engineered exosomes as an in situ DC-primed vaccine to boost antitumor immunity in breast cancerbreakdown → | 297 |
| 10 | 28 | |
| 11 | 5 | |
| 12 | 23 | |
| 13 | 23 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 22 | |
| 17 | Comparison and analysis of cutting performance of longitudinal cutting heads with various numbers of helical lines | 3 |
| 18 | 2 | |
| 19 | 124 | |
| 20 | 28 |
About Weihuang Liu
Weihuang Liu is a scholar working on Biophysics, Immunology and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (6 papers), Immunotherapy and Immune Responses (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). The work is most often cited by research in Immunology (323 citations), Experimental and Cognitive Psychology (152 citations) and Computer Vision and Pattern Recognition (202 citations). Weihuang Liu has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Zengwei Yao, Jiahui Pan, Chi‐Man Pun, Xiaodong Cun, Kezhen Yi, Fubing Wang, Chunhui Yuan, Lanxiang Huang, Xuan Tang and Xing Gao. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.