Boning Liu
- Molecular Biology
- Cancer Research top 10%
- Oncology top 10%
- Immunology
- Computer Vision and Pattern Recognition top 5%
- Topics
- Monoclonal and Polyclonal Antibodies Research (6 papers)Water Systems and Optimization (5 papers)Advanced Vision and Imaging (5 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaEnvironmental Science & Technology
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Boning Liu
45 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 575
- Cancer Research 292
- Oncology 238
- Immunology 200
- Computer Vision and Pattern Recognition 169
Countries citing papers authored by Boning Liu
This map shows the geographic impact of Boning 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 Boning Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boning Liu more than expected).
Fields of papers citing papers by Boning Liu
This network shows the impact of papers produced by Boning 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 Boning Liu. The network helps show where Boning Liu may publish in the future.
Co-authorship network of co-authors of Boning Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Boning Liu. A scholar is included among the top collaborators of Boning 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 Boning Liu. Boning 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussiansbreakdown → | 47 |
| 8 | 13 | |
| 9 | 20 | |
| 10 | 23 | |
| 11 | 17 | |
| 12 | 41 | |
| 13 | 41 | |
| 14 | 31 | |
| 15 | 40 | |
| 16 | 21 | |
| 17 | 31 | |
| 18 | The Progress of Therapeutic Antibody Drug and the Industrial Key-technology of Antibody Production | 2 |
| 19 | 160 | |
| 20 | The changes of glutathione and ergosterol in {\sl Saccharomyces cerevisiae} under high pressure | 2 |
About Boning Liu
Boning Liu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Biological Psychiatry, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Water Systems and Optimization (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (96 citations), Cancer Research (292 citations) and Immunology (200 citations). Boning Liu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiang Wu, David A. Reckhow, Qinghua Zhou, Ke Xu, Zhaowei Meng, Ke Xu, Qinghua Zhou, Qicheng Zhang, Hongwen Zhang and Yunde Liu. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Environmental Science & Technology.
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.