Shao‐Yi Chien

5.9k total citations · 1 hit paper
268 papers, 4.0k citations indexed

About

Shao‐Yi Chien is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Shao‐Yi Chien has authored 268 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 237 papers in Computer Vision and Pattern Recognition, 92 papers in Signal Processing and 33 papers in Electrical and Electronic Engineering. Recurrent topics in Shao‐Yi Chien's work include Advanced Vision and Imaging (117 papers), Video Coding and Compression Technologies (82 papers) and Advanced Image and Video Retrieval Techniques (62 papers). Shao‐Yi Chien is often cited by papers focused on Advanced Vision and Imaging (117 papers), Video Coding and Compression Technologies (82 papers) and Advanced Image and Video Retrieval Techniques (62 papers). Shao‐Yi Chien collaborates with scholars based in Taiwan, United States and Japan. Shao‐Yi Chien's co-authors include Liang‐Gee Chen, Yu‐Wen Huang, Shyh-Yih Ma, Tung-Chien Chen, Wei-Chih Tu, Ching-Yeh Chen, Tse-Wei Chen, Qingxiong Yang, Shengfeng He and Yi‐Ling Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Shao‐Yi Chien

254 papers receiving 3.8k 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.

Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders

2019 245 citations Yu Tsao, Shao‐Yi Chien et al. profile →

Peers

Shao‐Yi Chien

CVPR

SP

EEE

MT

AI

M.G. Strintzis Greece

Hong Ren Wu Australia

Karim Faez Iran

Marios Savvides United States

Bülent Sankur Türkiye

Guangming Lu China

Mohamed Atri Tunisia

Liang‐Gee Chen Taiwan

Bruce A. Draper United States

Shiqian Wu China

M.G. Strintzis Greece

Shao‐Yi Chien

3.4k ×1.1

CVPR

984 ×0.7

SP

228 ×0.6

EEE

331 ×0.9

MT

490 ×1.6

AI

Citations per year, relative to Shao‐Yi Chien Shao‐Yi Chien (= 1×) peers M.G. Strintzis

Countries citing papers authored by Shao‐Yi Chien

Since Specialization

Citations

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

Fields of papers citing papers by Shao‐Yi Chien

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao‐Yi Chien. 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 Shao‐Yi Chien. The network helps show where Shao‐Yi Chien may publish in the future.

Co-authorship network of co-authors of Shao‐Yi Chien

This figure shows the co-authorship network connecting the top 25 collaborators of Shao‐Yi Chien. A scholar is included among the top collaborators of Shao‐Yi Chien 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 Shao‐Yi Chien. Shao‐Yi Chien 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:

20 of 20 papers shown

1.

Chien, Shao‐Yi, et al.. (2024). Graph Attention Convolutional Network for 3D Human Pose and Shape Estimation from Point Clouds. 1–6. 1 indexed citations

2.

Chien, Shao‐Yi, et al.. (2023). DPDM: Feature-Based Pose Refinement with Deep Pose and Deep Match for Monocular Visual Odometry. 18. 1370–1374.

3.

Lin, Yu‐Sheng, et al.. (2020). GrateTile: Efficient Sparse Tensor Tiling for CNN Processing. 1–6. 4 indexed citations

4.

Chien, Shao‐Yi, et al.. (2020). Arithmetic Precision Reconfigurable Convolution Neural Network Accelerator. 1–6.

5.

Liu, Chih‐Ting, et al.. (2019). Supervised Joint Domain Learning for Vehicle Re-Identification. Computer Vision and Pattern Recognition. 45–52. 9 indexed citations

6.

Wang, Yu-Chiang Frank, et al.. (2018). Learning a Code-Space Predictor by Exploiting Intra-Image-Dependencies.. British Machine Vision Conference. 124. 10 indexed citations

7.

Lee, Wei‐Jen, Syu‐Siang Wang, Fei Chen, et al.. (2018). Speech Dereverberation Based on Integrated Deep and Ensemble Learning.. arXiv (Cornell University). 1 indexed citations

8.

Liu, Chih‐Ting, et al.. (2017). A Kernel Redundancy Removing Policy for Convolutional Neural Network.. arXiv (Cornell University). 1 indexed citations

9.

Wang, Robert, Kenrick Kin, Christopher D. Twigg, et al.. (2017). DodecaPen. 365–374. 50 indexed citations

10.

Ko, Wei-Jen & Shao‐Yi Chien. (2016). Patch-based face hallucination with multitask deep neural network. 1–6. 3 indexed citations

11.

Tsai, Yao-Hung Hubert, et al.. (2014). Stable pose tracking from a planar target with an analytical motion model in real-time applications. 1–6. 6 indexed citations

12.

Chien, Shao‐Yi, et al.. (2013). Video Object Segmentation and Tracking Framework With Improved Threshold Decision and Diffusion Distance. IEEE Transactions on Circuits and Systems for Video Technology. 23(6). 921–934. 25 indexed citations

13.

Chien, Shao‐Yi, et al.. (2012). Hardware architecture design of hybrid distributed video coding with frame level coding mode selection. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–4. 2 indexed citations

14.

Li, Chung‐Te, et al.. (2012). Brain-Inspired Framework for Fusion of Multiple Depth Cues. IEEE Transactions on Circuits and Systems for Video Technology. 23(7). 1137–1149. 9 indexed citations

15.

Chen, Chieh‐Li, et al.. (2011). Tennis Real Play. 275–276. 2 indexed citations

16.

Lin, Yi-Chun, et al.. (2011). Super resolution via database-free texture synthesis. 154–155. 2 indexed citations

17.

Chien, Shao‐Yi, et al.. (2008). Frame rate up-conversionwith global-to-local iterative motion compensated interpolation. 161–164. 7 indexed citations

18.

Chen, Tung-Chien, et al.. (2007). Fast Algorithm and Architecture Design of Low-Power Integer Motion Estimation for H.264/AVC. IEEE Transactions on Circuits and Systems. 568–577. 1 indexed citations

19.

Chen, Tse-Wei, et al.. (2007). Efficient Face Detection with Segmentation and Feature-based Face Scoring in Surveillance Systems. 24. 215–218. 3 indexed citations

20.

Chien, Shao‐Yi, et al.. (2006). Human Object Tracking Algorithm with Human Color Structure Descriptor for Video Surveillance Systems. 89. 2097–2100. 12 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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