Yun Fei

602 total citations
12 papers, 340 citations indexed

About

Yun Fei is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Yun Fei has authored 12 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 5 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Yun Fei's work include Computer Graphics and Visualization Techniques (5 papers), 3D Shape Modeling and Analysis (3 papers) and Music and Audio Processing (2 papers). Yun Fei is often cited by papers focused on Computer Graphics and Visualization Techniques (5 papers), 3D Shape Modeling and Analysis (3 papers) and Music and Audio Processing (2 papers). Yun Fei collaborates with scholars based in United States, Hong Kong and Canada. Yun Fei's co-authors include Changxi Zheng, Christopher Batty, Eitan Grinspun, Wenping Wang, Bin Wang, Guodong Rong, Jun‐Hai Yong, Dingzeyu Li, Wojciech Matusik and James Tompkin and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and Computers & Graphics.

In The Last Decade

Yun Fei

10 papers receiving 330 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yun Fei United States	9	180	144	109	29	26	12	340
Pramook Khungurn United States	6	164 0.9×	225 1.6×	276 2.5×	40 1.4×	36 1.4×	8	480
Yin Wu Switzerland	12	229 1.3×	74 0.5×	198 1.8×	45 1.6×	18 0.7×	22	450
Tae‐Yong Kim South Korea	7	210 1.2×	144 1.0×	90 0.8×	107 3.7×	40 1.5×	20	399
Markus Wacker Germany	12	263 1.5×	158 1.1×	190 1.7×	93 3.2×	31 1.2×	39	502
Jonathan Su United States	7	307 1.7×	163 1.1×	61 0.6×	68 2.3×	16 0.6×	7	385
Marco Fratarcangeli Sweden	11	217 1.2×	149 1.0×	135 1.2×	148 5.1×	45 1.7×	32	365
Yoshihiro Kanamori Japan	13	166 0.9×	208 1.4×	444 4.1×	40 1.4×	52 2.0×	64	669
Yong Tsui Lee Singapore	10	162 0.9×	189 1.3×	217 2.0×	22 0.8×	26 1.0×	19	447
Pierre E. Bézier France	7	368 2.0×	166 1.2×	108 1.0×	45 1.6×	51 2.0×	16	539

Countries citing papers authored by Yun Fei

Since Specialization

Citations

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

Fields of papers citing papers by Yun Fei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Fei

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Fei. A scholar is included among the top collaborators of Yun Fei 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 Yun Fei. Yun Fei 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

Fei, Yun, et al.. (2024). Trading Spaces: Adaptive Subspace Time Integration for Contacting Elastodynamics. ACM Transactions on Graphics. 43(6). 1–16.

Fei, Yun, et al.. (2020). Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

Montazeri, Zahra, Chang Xiao, Yun Fei, Changxi Zheng, & Shuang Zhao. (2019). Mechanics-Aware Modeling of Cloth Appearance. IEEE Transactions on Visualization and Computer Graphics. 27(1). 137–150. 14 indexed citations

Fei, Yun, Christopher Batty, Eitan Grinspun, & Changxi Zheng. (2019). A multi-scale model for coupling strands with shear-dependent liquid. ACM Transactions on Graphics. 38(6). 1–20. 26 indexed citations

Fei, Yun, Christopher Batty, Eitan Grinspun, & Changxi Zheng. (2018). A multi-scale model for simulating liquid-fabric interactions. ACM Transactions on Graphics. 37(4). 1–16. 55 indexed citations

Fei, Yun, et al.. (2017). A multi-scale model for simulating liquid-hair interactions. ACM Transactions on Graphics. 36(4). 1–17. 50 indexed citations

Bharaj, Gaurav, David I. W. Levin, James Tompkin, et al.. (2015). Computational design of metallophone contact sounds. ACM Transactions on Graphics. 34(6). 1–13. 42 indexed citations

Li, Dingzeyu, Yun Fei, & Changxi Zheng. (2015). Interactive Acoustic Transfer Approximation for Modal Sound. ACM Transactions on Graphics. 35(1). 1–16. 23 indexed citations

Xiong, Xi, Zheng Yang, Longfei Shangguan, et al.. (2015). SmartGuide. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 117–126. 4 indexed citations

10.

Wang, Miaoyi, et al.. (2014). Towards Photo Watercolorization with Artistic Verisimilitude. IEEE Transactions on Visualization and Computer Graphics. 20(10). 1451–1460. 27 indexed citations

11.

Fei, Yun, Guodong Rong, Bin Wang, & Wenping Wang. (2014). Parallel L-BFGS-B algorithm on GPU. Computers & Graphics. 40. 1–9. 45 indexed citations

12.

Wei, Li‐Yi, Bin Wang, Yusu Wang, et al.. (2013). Bilateral blue noise sampling. ACM Transactions on Graphics. 32(6). 1–11. 53 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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