Zhenpei Yang

506 total citations
12 papers, 284 citations indexed

About

Zhenpei Yang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geology. According to data from OpenAlex, Zhenpei Yang has authored 12 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 5 papers in Geology. Recurrent topics in Zhenpei Yang's work include Advanced Vision and Imaging (6 papers), 3D Surveying and Cultural Heritage (5 papers) and 3D Shape Modeling and Analysis (5 papers). Zhenpei Yang is often cited by papers focused on Advanced Vision and Imaging (6 papers), 3D Surveying and Cultural Heritage (5 papers) and 3D Shape Modeling and Analysis (5 papers). Zhenpei Yang collaborates with scholars based in United States, Germany and China. Zhenpei Yang's co-authors include Qixing Huang, Linjie Luo, Etienne Vouga, Chongyang Ma, Siming Yan, Zaiwei Zhang, Qi Shan, Zhile Ren, Alexander G. Huth and Pei Sun and has published in prestigious journals such as International Journal of Pharmaceutics, ACM Transactions on Graphics and Computers & Graphics.

In The Last Decade

Zhenpei Yang

12 papers receiving 269 citations

Peers

Zhenpei Yang

CVPR

CM

CGCD

GEOLO

AE

Ignas Budvytis United Kingdom

Hansheng Chen China

Shiyi Lan United States

Shice Liu China

Haithem Turki United States

W. Niem Germany

Lucas Nunes Germany

Yongduek Seo South Korea

Linqi Zhou United States

Frank Perbet Japan

Ignas Budvytis United Kingdom

Zhenpei Yang

382 ×2.2

CVPR

104 ×1.2

CM

60 ×0.9

CGCD

31 ×0.5

GEOLO

55 ×0.9

AE

Citations per year, relative to Zhenpei Yang Zhenpei Yang (= 1×) peers Ignas Budvytis

Countries citing papers authored by Zhenpei Yang

Since Specialization

Citations

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

Fields of papers citing papers by Zhenpei Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenpei Yang

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

All Works

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12 of 12 papers shown

1.

Mu, Norman, Jingwei Ji, Zhenpei Yang, et al.. (2024). MoST: Multi-modality Scene Tokenization for Motion Prediction. 14988–14999. 3 indexed citations

2.

Chen, Zhengming, Wenxi Zhang, Qingqiang Yao, et al.. (2023). TAssembly: Data-driven fractured object assembly using a linear template model. Computers & Graphics. 113. 102–112. 3 indexed citations

3.

Yang, Zhenpei, Zhile Ren, Qi Shan, & Qixing Huang. (2022). MVS2D: Efficient Multiview Stereo via Attention-Driven 2D Convolutions. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8564–8574. 33 indexed citations

4.

Yang, Zhenpei, Xiangyu Ma, Sawittree Sahakijpijarn, et al.. (2022). The applications of Machine learning (ML) in designing dry powder for inhalation by using thin-film-freezing technology. International Journal of Pharmaceutics. 626. 122179–122179. 23 indexed citations

5.

Yang, Zhenpei, Zhile Ren, Miguel Ángel Bautista, et al.. (2022). FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstruction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2487–2497. 11 indexed citations

6.

Yan, Siming, Zhenpei Yang, Chongyang Ma, et al.. (2021). HPNet: Deep Primitive Segmentation Using Hybrid Representations. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 2733–2742. 25 indexed citations

7.

Yang, Zhenpei, Li Erran Li, & Qixing Huang. (2021). StruMonoNet: Structure-Aware Monocular 3D Prediction. 5 indexed citations

8.

Yang, Zhenpei, Siming Yan, & Qixing Huang. (2020). Extreme Relative Pose Network Under Hybrid Representations. 2452–2461. 19 indexed citations

9.

Yang, Zhenpei, Yuning Chai, Dragomir Anguelov, et al.. (2020). SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving. 11115–11124. 61 indexed citations

10.

Zhang, Zaiwei, Zhenpei Yang, Chongyang Ma, et al.. (2020). Deep Generative Modeling for Scene Synthesis via Hybrid Representations. ACM Transactions on Graphics. 39(2). 1–21. 66 indexed citations

11.

Yang, Zhenpei, et al.. (2019). Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion. 4526–4535. 29 indexed citations

12.

Yang, Zhenpei, Lihang Liu, & Qixing Huang. (2018). Learning Generative Neural Networks for 3D Colorization. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 6 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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