Lan Xu

4.7k citations
95 papers · 1.6k · h-index 23

Impact in

Papers in

Lan Xu

86 papers receiving 1.5k citations

Peers

Lan Xu
Comparison fields: 5 of 115
  • Computer Graphics and Computer-Aided Design 389
  • Computer Vision and Pattern Recognition 1.1k
  • Computational Mechanics 535
  • Geology 87
  • Human-Computer Interaction 85
Replace Mathieu Aubry with:
Mathieu Aubry France
Sudhir P. Mudur Canada
Pere‐Pau Vázquez Spain
Olaf Hall-Holt United States
Wei-Chao Chen United States
Linchao Bao China
Thomas H. Li China
John W. Poulton United States
Hao Zhao China
Georges‐Pierre Bonneau France
Lan Xu relative to Mathieu Aubry France Mathieu Aubry's profile →
Citations per field
00.5×10×
Mathieu Aubry · 1×
Citations per year

Countries citing papers authored by Lan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Lan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202288
2 202078
3 202271
4 202263
5 201953
6 200450
7 201750
8 202446
9 202044
10 201939
11 202437
12 202337
13 201936
14 202136
15 201835
16 202134
17 202231
18 202231
19 202230
20 202329

About Lan Xu

Lan Xu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Control and Systems Engineering and Aerospace Engineering, having authored 95 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (44 papers), 3D Shape Modeling and Analysis (34 papers), Human Pose and Action Recognition (28 papers), Computer Graphics and Visualization Techniques (25 papers), Human Motion and Animation (18 papers), Robotics and Sensor-Based Localization (11 papers), Video Surveillance and Tracking Methods (10 papers) and Face recognition and analysis (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (389 citations), Computer Vision and Pattern Recognition (1.1k citations), Computational Mechanics (535 citations), Geology (87 citations) and Human-Computer Interaction (85 citations). Lan Xu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jingyi Yu, Lu Fang, Yingliang Zhang, Lei Han, Yuexin Ma, Minye Wu, Fuqiang Zhao, Qixuan Zhang, Yebin Liu and Longwen Zhang. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Visualization and Computer Graphics, International Journal of Computer Vision and Journal of Biological Chemistry.

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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