Yinyu Nie

743 citations
21 papers · 350 indexed · h-index 10
Topics
3D Shape Modeling and Analysis (10 papers)Computer Graphics and Visualization Techniques (7 papers)Advanced Vision and Imaging (5 papers)

In The Last Decade

Yinyu Nie

19 papers receiving 342 citations

Peers

Yinyu Nie
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 198
  • Computational Mechanics 114
  • Geology 81
  • Aerospace Engineering 67
  • Computer Graphics and Computer-Aided Design 62
Replace Jeremy Reizenstein with:
Jeremy Reizenstein United Kingdom
Keisuke Tateno Japan
Feixiang Lu China
Shengjun Liu China
Shi-Sheng Huang China
Jae Shin Yoon United States
Jiadai Sun China
Jonathon Luiten Germany
Chi‐Han Peng Saudi Arabia
Yinyu Nie relative to Jeremy Reizenstein United Kingdom Jeremy Reizenstein's profile →
Citations per field
00.5×11×
Jeremy Reizenstein · 1×
Citations per year

Countries citing papers authored by Yinyu Nie

Since Specialization
Citations

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

Fields of papers citing papers by Yinyu Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinyu Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Yinyu Nie. A scholar is included among the top collaborators of Yinyu Nie 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 Yinyu Nie. Yinyu Nie 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 4
2 0
3 5
4 1
5 18
6 0
7 12
8 18
9 2
10 14
11 38
12 3
13 8
14
Skeleton-bridged Point Completion: From Global Inference to Local Adjustment
3
15 126
16 14
17 2
18 45
19 12
20 21

About Yinyu Nie

Yinyu Nie is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 350 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (10 papers), Computer Graphics and Visualization Techniques (7 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (62 citations), Geology (81 citations) and Computer Vision and Pattern Recognition (198 citations). Yinyu Nie has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Xiaoguang Han, Jianjun Zhang, Jian Chang, Shihui Guo, Matthias Niesner, Ji Hou, Angela Dai, Jiapeng Tang, Matthias Nießner and Justus Thies. Their work appears in journals such as ACS Applied Materials & Interfaces, ACM Transactions on Graphics and Pattern Recognition.

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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