Boning Liu

2.0k citations
54 papers · 1.4k · 1 hit paper · h-index 21

Impact in

Papers in

Boning Liu

49 papers receiving 1.4k citations

Boning Liu's Hit Papers

GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians 2024 · 68 citations
680+1Years since publication204060

Peers

Boning Liu
Comparison fields: 5 of 126
  • Computer Graphics and Computer-Aided Design 129
  • Cancer Research 258
  • Computer Vision and Pattern Recognition 219
  • Immunology 195
  • Oncology 230
Replace J. Grosjean with:
J. Grosjean France
Jingyi Jin China
Dongqing Chen United States
Ruiyang Liu China
Jiayi Guo China
Masaaki Oka Japan
Neil F. Johnson United States
Qingtian Zhu China
Boning Liu relative to J. Grosjean France J. Grosjean's profile →
Citations per field
00.5×10×20×32×
J. Grosjean · 1×
Citations per year

Countries citing papers authored by Boning Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Boning Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Boning Liu Line = papers co-authored together Boning Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017171
2 2012163
3 202397
4 201093
5 201783
6
GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians
Hit paper breakdown →
202468
7 201349
8 202449
9 201148
10 202348
11 201644
12 201743
13 201842
14 201735
15 201235
16 201434
17 201733
18 202224
19 201421
20 202321

About Boning Liu

Boning Liu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), 3D Shape Modeling and Analysis (5 papers), Water Systems and Optimization (5 papers), Water Treatment and Disinfection (5 papers), Advanced Vision and Imaging (5 papers), Advanced Image Processing Techniques (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (129 citations), Cancer Research (258 citations), Computer Vision and Pattern Recognition (219 citations), Immunology (195 citations) and Oncology (230 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, Hongwen Zhang, Ke Xu, Yebin Liu, Qinghua Zhou and Qicheng Zhang. Their work appears in journals such as mAbs, Acta Pharmacologica Sinica, Chromatographia, Water Research and Carbon.

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.

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