Raymond A. Yeh

3.4k total citations · 2 hit papers
18 papers, 776 citations indexed

About

Raymond A. Yeh is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Raymond A. Yeh has authored 18 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Mechanics and 4 papers in Artificial Intelligence. Recurrent topics in Raymond A. Yeh's work include Computer Graphics and Visualization Techniques (4 papers), Human Pose and Action Recognition (4 papers) and Advanced Neural Network Applications (4 papers). Raymond A. Yeh is often cited by papers focused on Computer Graphics and Visualization Techniques (4 papers), Human Pose and Action Recognition (4 papers) and Advanced Neural Network Applications (4 papers). Raymond A. Yeh collaborates with scholars based in United States, Jamaica and Israel. Raymond A. Yeh's co-authors include Aseem Agarwala, Ziwei Liu, Xiaoou Tang, Yiming Liu, Haochen Wang, Jiahao Li, Greg Shakhnarovich, Alexander G. Schwing, N. Minh and Mark Hasegawa‐Johnson and has published in prestigious journals such as Computer Graphics Forum, Manufacturing Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Raymond A. Yeh

15 papers receiving 755 citations

Hit Papers

Video Frame Synthesis Usi... 2017 2026 2020 2023 2017 2023 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raymond A. Yeh United States 8 618 133 123 115 104 18 776
Robby T. Tan Singapore 17 988 1.6× 47 0.4× 106 0.9× 65 0.6× 26 0.3× 39 1.2k
Zongxin Yang China 14 577 0.9× 42 0.3× 175 1.4× 21 0.2× 38 0.4× 27 761
Fatih Porikli United States 11 448 0.7× 36 0.3× 116 0.9× 23 0.2× 117 1.1× 30 600
Iro Laina United Kingdom 7 392 0.6× 18 0.1× 148 1.2× 108 0.9× 89 0.9× 13 505
Wenzhao Zheng China 12 483 0.8× 33 0.2× 199 1.6× 33 0.3× 58 0.6× 31 640
Di Kang China 10 417 0.7× 13 0.1× 160 1.3× 68 0.6× 97 0.9× 22 509
Xukun Shen China 9 228 0.4× 19 0.1× 34 0.3× 57 0.5× 40 0.4× 90 340
Amir Hertz Israel 8 465 0.8× 17 0.1× 82 0.7× 268 2.3× 315 3.0× 12 751
Wei Lian China 13 318 0.5× 30 0.2× 86 0.7× 19 0.2× 25 0.2× 42 519

Countries citing papers authored by Raymond A. Yeh

Since Specialization
Citations

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

Fields of papers citing papers by Raymond A. Yeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raymond A. Yeh. 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 Raymond A. Yeh. The network helps show where Raymond A. Yeh may publish in the future.

Co-authorship network of co-authors of Raymond A. Yeh

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

All Works

18 of 18 papers shown
1.
Yeh, Raymond A., et al.. (2025). GeoCode: Interpretable Shape Programs. Computer Graphics Forum. 44(1).
2.
Ribeiro, Bruno, et al.. (2024). Online real-time machining chatter sound detection using convolutional neural network by adopting expert knowledge. Manufacturing Letters. 41. 1386–1397. 3 indexed citations
5.
Minh, N., et al.. (2024). Making Vision Transformers Truly Shift-Equivariant. 5568–5577. 3 indexed citations
6.
Yeh, Raymond A., et al.. (2023). Tree Instance Segmentation with Temporal Contour Graph. 2193–2202. 10 indexed citations
7.
Wang, Haochen, et al.. (2023). Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation. 12619–12629. 165 indexed citations breakdown →
8.
Yeh, Raymond A., Yuan-Ting Hu, Zhongzheng Ren, & Alexander G. Schwing. (2022). Total Variation Optimization Layers for Computer Vision. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 701–711. 3 indexed citations
9.
Yeh, Raymond A., et al.. (2021). Multi-Decoder Dprnn: Source Separation for Variable Number of Speakers. 3420–3424. 10 indexed citations
11.
Ren, Zhongzheng, et al.. (2021). Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 5 indexed citations
12.
Yeh, Raymond A., Yuan-Ting Hu, & Alexander G. Schwing. (2019). Chirality Nets for Human Pose Regression. arXiv (Cornell University). 32. 8161–8171. 5 indexed citations
13.
Yeh, Raymond A., Alexander G. Schwing, Jonathan Huang, & Kevin Murphy. (2019). Diverse Generation for Multi-Agent Sports Games. 4605–4614. 45 indexed citations
15.
Yeh, Raymond A., et al.. (2018). Image Restoration with Deep Generative Models. 6772–6776. 17 indexed citations
16.
Yeh, Raymond A., et al.. (2018). Time-Frequency Networks for Audio Super-Resolution. 646–650. 50 indexed citations
17.
Liu, Ziwei, Raymond A. Yeh, Xiaoou Tang, Yiming Liu, & Aseem Agarwala. (2017). Video Frame Synthesis Using Deep Voxel Flow. 4473–4481. 421 indexed citations breakdown →
18.
Yeh, Raymond A., Mark Hasegawa‐Johnson, & N. Minh. (2016). Stable and symmetric filter convolutional neural network. 15. 2652–2656. 7 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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