Mutian Xu

1.0k citations
11 papers · 563 · 1 hit paper · h-index 7

Impact in

Papers in

Mutian Xu

9 papers receiving 555 citations

Mutian Xu's Hit Papers

PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds 2021 · 321 citations
3210+1+3Years since publication100200300

Peers

Mutian Xu
Comparison fields: 5 of 63
  • Geology 262
  • Computer Graphics and Computer-Aided Design 133
  • Computational Mechanics 348
  • Environmental Engineering 168
  • Computer Vision and Pattern Recognition 205
Replace Lyne P. Tchapmi with:
Lyne P. Tchapmi United States
Truc Le United States
Minh-Khoi Tran Singapore
Chaoda Zheng China
Minhyuk Sung South Korea
Ji Hou China
Shenman Zhang China
Zaiwei Zhang United States
Xianzhi Li China
Rana Hanocka United States
Mutian Xu relative to Lyne P. Tchapmi United States Lyne P. Tchapmi's profile →
Citations per field
00.5×2.6×
Lyne P. Tchapmi · 1×
Citations per year

Countries citing papers authored by Mutian Xu

Since Specialization
Citations

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

Fields of papers citing papers by Mutian Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
Hit paper breakdown →
2021321
2 202182
3 202449
4 202340
5 202336
6 202316
7 202414
8 20233
9 20242
10 20250
11 20250

About Mutian Xu

Mutian Xu is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Control and Systems Engineering and Mechanical Engineering, having authored 11 papers that have together received 563 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (5 papers), Computer Graphics and Visualization Techniques (4 papers), Advanced Vision and Imaging (2 papers), 3D Surveying and Cultural Heritage (2 papers), Hand Gesture Recognition Systems (1 paper), Optical Network Technologies (1 paper), Brain Tumor Detection and Classification (1 paper) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Geology (262 citations), Computer Graphics and Computer-Aided Design (133 citations), Computational Mechanics (348 citations), Environmental Engineering (168 citations) and Computer Vision and Pattern Recognition (205 citations). Mutian Xu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaojuan Qi, Hengshuang Zhao, Zhipeng Zhou, Junhao Zhang, Yu Qiao, Mingye Xu, Xiaoguang Han, Yushuang Wu, Guanying Chen and Chaoqi Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Measurement, Optics Express and Proceedings of the AAAI Conference on Artificial Intelligence.

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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