Xiaobai Chen

51 papers receiving 1.3k citations

Xiaobai Chen's Hit Papers

A benchmark for 3D mesh segmentation 2009 · 474 citations
4740+5+11Years since publication100200300400

Peers

Xiaobai Chen
Comparison fields: 5 of 104
  • Computer Graphics and Computer-Aided Design 344
  • Computer Vision and Pattern Recognition 612
  • Computational Mechanics 602
  • Geology 142
  • Environmental Engineering 62
Replace Haibin Huang with:
Haibin Huang China
Ruilong Li China
Zheng Liu China
George K. Knopf Canada
Achuta Kadambi United States
Dan Raviv Israel
Chang Ha Lee South Korea
Hung-Yu Tseng Taiwan
Yucheng Zhu China
Yinxiao Li United States
Xiaobai Chen relative to Haibin Huang China Haibin Huang's profile →
Citations per field
00.5×5.7×
Haibin Huang · 1×
Citations per year

Countries citing papers authored by Xiaobai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaobai Chen, 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 Xiaobai Chen Line = papers co-authored together Xiaobai Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A benchmark for 3D mesh segmentation
Hit paper breakdown →
2009474
2 201298
3 200988
4 201074
5 201060
6 201931
7 202130
8 202126
9 201023
10 201122
11 201921
12 201021
13 201820
14 200419
15 201919
16 200818
17 202318
18 200917
19 200916
20 202016

About Xiaobai Chen

Xiaobai Chen is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Magnetic properties of thin films (9 papers), ZnO doping and properties (7 papers), 3D Shape Modeling and Analysis (7 papers), Copper-based nanomaterials and applications (6 papers), Magnetic Properties and Applications (6 papers), Advanced Neural Network Applications (4 papers), Electronic and Structural Properties of Oxides (4 papers) and Lymphatic Disorders and Treatments (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (344 citations), Computer Vision and Pattern Recognition (612 citations), Computational Mechanics (602 citations), Geology (142 citations) and Environmental Engineering (62 citations). Xiaobai Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Thomas Funkhouser, Aleksey Golovinskiy, Yaron Lipman, Hong Qiu, Mingpeng Yu, Abulhair Saparov, Ingrid Daubechies, Thomas Funkhouser, Vladimir G. Kim and Fu Xiao. Their work appears in journals such as ACM Transactions on Graphics, Materials Chemistry and Physics, Vacuum, Thin Solid Films and Physica B Condensed Matter.

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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