Ronald Yu

1.5k total citations · 1 hit paper
13 papers, 701 citations indexed

About

Ronald Yu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Ronald Yu has authored 13 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 3 papers in Artificial Intelligence. Recurrent topics in Ronald Yu's work include Face recognition and analysis (5 papers), 3D Shape Modeling and Analysis (3 papers) and Human Motion and Animation (2 papers). Ronald Yu is often cited by papers focused on Face recognition and analysis (5 papers), 3D Shape Modeling and Analysis (3 papers) and Human Motion and Animation (2 papers). Ronald Yu collaborates with scholars based in United States, Hong Kong and Finland. Ronald Yu's co-authors include Ulrich Neumann, Qiangui Huang, Weiyue Wang, Daniel Liu, Hao Su, Hao Li, Shunsuke Saito, Hao Su, Timo Aila and Samuli Laine and has published in prestigious journals such as Journal of Manufacturing Science and Engineering, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and arXiv (Cornell University).

In The Last Decade

Ronald Yu

11 papers receiving 671 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation

2018 339 citations Weiyue Wang, Ronald Yu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ronald Yu United States	8	329	292	184	156	120	13	701
Vincent Casser United States	5	397 1.2×	113 0.4×	61 0.3×	59 0.4×	54 0.5×	8	544
Guocheng Qian Saudi Arabia	10	258 0.8×	173 0.6×	110 0.6×	80 0.5×	154 1.3×	20	565
Guohua Geng China	14	296 0.9×	99 0.3×	125 0.7×	36 0.2×	86 0.7×	144	680
Stephan R. Richter Germany	11	425 1.3×	244 0.8×	114 0.6×	26 0.2×	37 0.3×	19	643
Pere Brunet Spain	17	382 1.2×	407 1.4×	88 0.5×	59 0.4×	30 0.3×	70	915
Renrui Zhang China	10	453 1.4×	92 0.3×	59 0.3×	39 0.3×	312 2.6×	18	732
Michael Donoser Austria	16	1000 3.0×	67 0.2×	108 0.6×	71 0.5×	127 1.1×	60	1.3k
Aladine Chetouani France	16	448 1.4×	135 0.5×	72 0.4×	47 0.3×	39 0.3×	89	741
Olga Regina Pereira Bellon Brazil	18	915 2.8×	123 0.4×	324 1.8×	116 0.7×	38 0.3×	64	1.3k
Shichen Liu China	11	459 1.4×	222 0.8×	41 0.2×	12 0.1×	117 1.0×	21	775

Countries citing papers authored by Ronald Yu

Since Specialization

Citations

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

Fields of papers citing papers by Ronald Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronald Yu

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Mercurio, Bryan & Ronald Yu. (2022). Regulating Cross-Border Data Flows:. Anthem Press eBooks.

2.

Yu, Ronald & Kenneth W. Yip. (2021). New Changes, New Possibilities: China’s Latest Patent Law Amendments. GRUR International. 2 indexed citations

3.

You, Shangting, Jiaao Guan, Henry H. Hwang, et al.. (2020). Mitigating Scattering Effects in Light-Based Three-Dimensional Printing Using Machine Learning. Journal of Manufacturing Science and Engineering. 142(8). 47 indexed citations

4.

Liu, Daniel, Ronald Yu, & Hao Su. (2019). Adversarial point perturbations on 3D objects. arXiv (Cornell University). 6 indexed citations

5.

Yu, Ronald, et al.. (2019). What's Inside the Black Box? AI Challenges for Lawyers and Researchers. Legal Information Management. 19(1). 2–13. 47 indexed citations

6.

Liu, Daniel, Ronald Yu, & Hao Su. (2019). Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers. 2279–2283. 104 indexed citations

7.

Wang, Weiyue, Ronald Yu, Qiangui Huang, & Ulrich Neumann. (2018). SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation. 2569–2578. 339 indexed citations breakdown →

8.

Yu, Ronald, Shunsuke Saito, Haoxiang Li, Duygu Ceylan, & Hao Li. (2017). Learning Dense Facial Correspondences in Unconstrained Images. 4733–4742. 34 indexed citations

9.

Olszewski, Kyle, Zimo Li, Chao Yang, et al.. (2017). Realistic Dynamic Facial Textures from a Single Image Using GANs. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5439–5448. 50 indexed citations

10.

Laine, Samuli, Tero Karras, Timo Aila, et al.. (2017). Production-level facial performance capture using deep convolutional neural networks. 1–10. 57 indexed citations

11.

Yu, Ronald, et al.. (2016). Recognizing text in historical maps using maps from multiple time periods. 3993–3998. 11 indexed citations

12.

Saito, Shunsuke, Lingyu Wei, Jens Fursund, et al.. (2016). Pinscreen. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–1. 4 indexed citations

13.

Yu, Ronald, et al.. (2013). Animating TTS Messages in Android using Open-Source Tools.

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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