Yinyu Nie

743 total citations
21 papers, 350 citations indexed

About

Yinyu Nie is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Yinyu Nie has authored 21 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 7 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Yinyu Nie's work include 3D Shape Modeling and Analysis (10 papers), Computer Graphics and Visualization Techniques (7 papers) and Advanced Vision and Imaging (5 papers). Yinyu Nie is often cited by papers focused on 3D Shape Modeling and Analysis (10 papers), Computer Graphics and Visualization Techniques (7 papers) and Advanced Vision and Imaging (5 papers). Yinyu Nie collaborates with scholars based in China, United Kingdom and Germany. Yinyu Nie's co-authors include Xiaoguang Han, Jianjun Zhang, Jian Chang, Shihui Guo, Matthias Niesner, Ji Hou, Angela Dai, Jiapeng Tang, Matthias Nießner and Justus Thies and has published in prestigious journals such as ACS Applied Materials & Interfaces, ACM Transactions on Graphics and Pattern Recognition.

In The Last Decade

Yinyu Nie

19 papers receiving 342 citations

Peers

Yinyu Nie
Yinyu Nie
Citations per year, relative to Yinyu Nie Yinyu Nie (= 1×) peers Feixiang Lu

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
1.
Chen, Yee‐Chun, Junjun Jiang, Kui Jiang, et al.. (2025). DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds. 11146–11155. 4 indexed citations
2.
Chen, Tongxin, et al.. (2025). Magnetic-Field Controlled Organic Spintronic Memristor for Neural Network Computation. ACS Applied Materials & Interfaces. 17(44). 60902–60912.
3.
Tang, Jiapeng, et al.. (2024). DPHMs: Diffusion Parametric Head Models for Depth-Based Tracking. 1111–1122. 5 indexed citations
4.
5.
Tang, Jiapeng, et al.. (2024). DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis. 20507–20518. 18 indexed citations
7.
Nie, Yinyu, Angela Dai, Xiaoguang Han, & Matthias NieBner. (2023). Learning 3D Scene Priors with 2D Supervision. 792–802. 12 indexed citations
8.
Zhu, Xiangyu, et al.. (2023). NerVE: Neural Volumetric Edges for Parametric Curve Extraction from Point Cloud. 13601–13610. 18 indexed citations
9.
Nie, Yinyu, et al.. (2022). SIG-Former: monocular surgical instruction generation with transformers. International Journal of Computer Assisted Radiology and Surgery. 17(12). 2203–2210. 2 indexed citations
10.
Nie, Yinyu, et al.. (2021). SD-Net: joint surgical gesture recognition and skill assessment. International Journal of Computer Assisted Radiology and Surgery. 16(10). 1675–1682. 14 indexed citations
11.
Nie, Yinyu, Ji Hou, Xiaoguang Han, & Matthias Niesner. (2021). RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction. 4606–4616. 38 indexed citations
12.
Du, Dong, Yinyu Nie, Xiaoguang Han, et al.. (2020). Learning Part Generation and Assembly for Sketching Man‐Made Objects. Computer Graphics Forum. 40(1). 222–233. 3 indexed citations
13.
Nie, Yinyu, Shihui Guo, Jian Chang, et al.. (2020). Shallow2Deep: Indoor scene modeling by single image understanding. Pattern Recognition. 103. 107271–107271. 8 indexed citations
14.
Nie, Yinyu, Yiqun Lin, Xiaoguang Han, et al.. (2020). Skeleton-bridged Point Completion: From Global Inference to Local Adjustment. Neural Information Processing Systems. 33. 16119–16130. 3 indexed citations
16.
Lyu, Yao, Yukun Wang, Yinyu Nie, et al.. (2018). Development of laparoscopic cholecystectomy simulator based on unity game engine. 1–9. 14 indexed citations
17.
Nie, Yinyu, et al.. (2018). Semantic modeling of indoor scenes with support inference from a single photograph. Computer Animation and Virtual Worlds. 29(3-4). 2 indexed citations
18.
Nie, Yinyu, et al.. (2018). A VR-based the emergency rescue training system of railway accident. Entertainment Computing. 27. 23–31. 45 indexed citations
19.
Nie, Yinyu, et al.. (2017). A data-driven dynamics simulation framework for railway vehicles. Vehicle System Dynamics. 56(3). 406–427. 12 indexed citations
20.
Nie, Yinyu, et al.. (2016). Data-driven train set crash dynamics simulation. Vehicle System Dynamics. 55(2). 149–167. 21 indexed citations

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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