Changhe Tu

3.1k citations
129 papers · 1.9k · h-index 19

Impact in

Papers in

Changhe Tu

111 papers receiving 1.8k citations

Peers

Changhe Tu
Comparison fields: 5 of 124
  • Computer Graphics and Computer-Aided Design 448
  • Computer Vision and Pattern Recognition 894
  • Geology 153
  • Computational Mechanics 569
  • Automotive Engineering 305
Replace Shiqing Xin with:
Shiqing Xin China
Andrei Sharf Israel
Yuexin Ma China
Siddhartha Chaudhuri United States
Siyu Tang Germany
Xifeng Gao United States
Anne Verroust-Blondet France
Christoph Mertz United States
Chiew‐Lan Tai Hong Kong
Daniel Maturana United States
Changhe Tu relative to Shiqing Xin China Shiqing Xin's profile →
Citations per field
00.5×4.2×
Shiqing Xin · 1×
Citations per year

Countries citing papers authored by Changhe Tu

Since Specialization
Citations

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

Fields of papers citing papers by Changhe Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014238
2 2016127
3 2021124
4 2022120
5 2016119
6 2016111
7 2019106
8 201579
9 201651
10 201637
11 202132
12 201331
13 200331
14 201830
15 202028
16 202326
17 202324
18 202222
19 202022
20 202118

About Changhe Tu

Changhe Tu is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence, having authored 129 papers that have together received 1.9k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (57 papers), Computer Graphics and Visualization Techniques (48 papers), Computational Geometry and Mesh Generation (37 papers), Advanced Numerical Analysis Techniques (29 papers), Advanced Vision and Imaging (19 papers), Image Processing and 3D Reconstruction (8 papers), Additive Manufacturing and 3D Printing Technologies (8 papers) and Robotic Path Planning Algorithms (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (448 citations), Computer Vision and Pattern Recognition (894 citations), Geology (153 citations), Computational Mechanics (569 citations) and Automotive Engineering (305 citations). Changhe Tu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Baoquan Chen, Daniel Cohen‐Or, Wenping Wang, Yangyan Li, Dani Lischinski, Shiqing Xin, Haisen Zhao, Andrei Sharf, Jinming Cao and Lin Lü. Their work appears in journals such as ACM Transactions on Graphics, Computer Aided Geometric Design, Computer-Aided Design, IEEE Transactions on Visualization and Computer Graphics and Graphical Models.

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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