Biwen Lei

443 citations
10 papers · 276 indexed · h-index 6
Topics
3D Shape Modeling and Analysis (4 papers)Generative Adversarial Networks and Image Synthesis (3 papers)Human Motion and Animation (3 papers)
Journals
NeurocomputingFrontiers in Oncology2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

In The Last Decade

Biwen Lei

9 papers receiving 271 citations

Peers

Biwen Lei
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 150
  • Radiology, Nuclear Medicine and Imaging 73
  • Computational Mechanics 59
  • Artificial Intelligence 52
  • Geology 41
Replace Huafeng Wang with:
Huafeng Wang China
Yung-Nien Sun Taiwan
Alexander Ladikos Germany
Zhengda Lu China
Rafael Palomar Norway
Christian Tietjen Germany
Blaine Rister United States
Zizheng Yan China
Christian Daul France
Huaici Zhao China
Biwen Lei relative to Huafeng Wang China Huafeng Wang's profile →
Citations per field
00.5×2.6×
Huafeng Wang · 1×
Citations per year

Countries citing papers authored by Biwen Lei

Since Specialization
Citations

This map shows the geographic impact of Biwen Lei'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 Biwen Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biwen Lei more than expected).

Fields of papers citing papers by Biwen Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Biwen Lei. 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 Biwen Lei. The network helps show where Biwen Lei may publish in the future.

Co-authorship network of co-authors of Biwen Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Biwen Lei. A scholar is included among the top collaborators of Biwen Lei 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 Biwen Lei. Biwen Lei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 4
3 4
4 33
5 2
6 6
7 57
8 33
9 121
10 16

About Biwen Lei

Biwen Lei is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Control and Systems Engineering, having authored 10 papers that have together received 276 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Human Motion and Animation (3 papers). The work is most often cited by research in Geology (41 citations), Computer Vision and Pattern Recognition (150 citations) and Computer Graphics and Computer-Aided Design (13 citations). Biwen Lei has collaborated with scholars based in China, United States and Cayman Islands. Frequent co-authors include Danny Z. Chen, Haochao Ying, Jintai Chen, Jian Wu, Qingyu Song, Jian Wu, Xuansong Xie, Miaomiao Cui, Jianqiang Ren and Wenzhe Wang. Their work appears in journals such as Neurocomputing, Frontiers in Oncology and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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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