Lingjie Liu

52 papers receiving 1.5k citations

Hit Papers

Neural actor2021202620222024202120232023202450100150

Peers

Lingjie Liu
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 1.1k
  • Computational Mechanics 666
  • Computer Graphics and Computer-Aided Design 645
  • Control and Systems Engineering 149
  • Geology 130
Replace Kyle Genova with:
Kyle Genova United States
Vladislav Golyanik Germany
Christoph Lassner Germany
Forrester Cole United States
Shubham Tulsiani United States
Klaus Hildebrandt Netherlands
Chen-Hsuan Lin United States
Thomas Leimkühler Germany
Georgios Kopanas France
Nathan Carr United States
Lingjie Liu relative to Kyle Genova United States Kyle Genova's profile →
Citations per field
00.5×
Kyle Genova · 1×
Citations per year

Countries citing papers authored by Lingjie Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lingjie Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingjie Liu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 1
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5 11
6 5
7 0
8 6
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10 1
11 29
12 4
13
Wonder3D: Single Image to 3D Using Cross-Domain Diffusionbreakdown →
95
14 6
15 48
16 16
17 21
18
Neural Animation and Reenactment of Human Actor Videos
7
19 0
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Applications of Lodrigues matrix in coordinates transformation
1

About Lingjie Liu

Lingjie Liu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (31 papers), 3D Shape Modeling and Analysis (23 papers) and Computer Graphics and Visualization Techniques (23 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (645 citations), Computer Vision and Pattern Recognition (1.1k citations) and Computational Mechanics (666 citations). Lingjie Liu has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Christian Theobalt, Wenping Wang, Marc Habermann, Kripasindhu Sarkar, Jiatao Gu, Cheng Lin, Viktor Rudnev, Weipeng Xu, Xiaoxiao Long and Kostas Daniilidis. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and ACM Transactions on Graphics.

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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