Wei-Chih Tu

614 total citations
16 papers, 421 citations indexed

About

Wei-Chih Tu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Automotive Engineering. According to data from OpenAlex, Wei-Chih Tu has authored 16 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 1 paper in Automotive Engineering. Recurrent topics in Wei-Chih Tu's work include Image Enhancement Techniques (6 papers), Image and Signal Denoising Methods (5 papers) and Advanced Image Fusion Techniques (5 papers). Wei-Chih Tu is often cited by papers focused on Image Enhancement Techniques (6 papers), Image and Signal Denoising Methods (5 papers) and Advanced Image Fusion Techniques (5 papers). Wei-Chih Tu collaborates with scholars based in Taiwan, China and Hong Kong. Wei-Chih Tu's co-authors include Shao‐Yi Chien, Shengfeng He, Qingxiong Yang, Jianbo Jiao, Rynson W. H. Lau, Varun Jampani, Jan Kautz, Ming-Yu Liu, Deqing Sun and Ming–Hsuan Yang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and University of Birmingham Research Portal (University of Birmingham).

In The Last Decade

Wei-Chih Tu

14 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei-Chih Tu Taiwan 6 380 92 66 40 22 16 421
Lina Wei China 6 488 1.3× 59 0.6× 85 1.3× 105 2.6× 47 2.1× 17 544
Zijun Deng China 7 575 1.5× 140 1.5× 56 0.8× 85 2.1× 42 1.9× 11 638
Yanjiao Shi China 11 246 0.6× 50 0.5× 31 0.5× 42 1.1× 51 2.3× 40 320
Fushuo Huo China 8 257 0.7× 74 0.8× 17 0.3× 34 0.8× 47 2.1× 14 326
Kan Huang China 10 263 0.7× 55 0.6× 39 0.6× 39 1.0× 30 1.4× 29 389
Hae Jong Seo United States 10 469 1.2× 70 0.8× 34 0.5× 30 0.8× 73 3.3× 14 511
Shaojie Wang China 9 188 0.5× 27 0.3× 14 0.2× 23 0.6× 43 2.0× 30 295
Ge Li China 8 230 0.6× 51 0.6× 13 0.2× 37 0.9× 14 0.6× 27 270
Yongjiang Luo China 8 212 0.6× 63 0.7× 10 0.2× 19 0.5× 26 1.2× 14 292

Countries citing papers authored by Wei-Chih Tu

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Chih Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Chih Tu. 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 Wei-Chih Tu. The network helps show where Wei-Chih Tu may publish in the future.

Co-authorship network of co-authors of Wei-Chih Tu

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

All Works

16 of 16 papers shown
1.
Tu, Wei-Chih & Shao‐Yi Chien. (2021). Two-Way Recursive Filtering. IEEE Transactions on Circuits and Systems for Video Technology. 31(11). 4255–4268. 4 indexed citations
2.
Tu, Wei-Chih, et al.. (2021). Interactive Object Segmentation With Dynamic Click Transform. 2284–2288. 2 indexed citations
3.
Jiao, Jianbo, Wei-Chih Tu, Ding Liu, et al.. (2020). FormNet: Formatted Learning for Image Restoration. IEEE Transactions on Image Processing. 29. 6302–6314. 16 indexed citations
4.
Wu, Chih-Wei, Chih‐Ting Liu, Wei-Chih Tu, et al.. (2020). Space-Time Guided Association Learning For Unsupervised Person Re-Identification. 2261–2265. 2 indexed citations
5.
Lin, Yu‐Sheng, et al.. (2018). Hardware-Efficient Two-Stage Saliency Detection. 25. 205–210. 1 indexed citations
6.
Tu, Wei-Chih, Ming-Yu Liu, Varun Jampani, et al.. (2018). Learning Superpixels with Segmentation-Aware Affinity Loss. 568–576. 81 indexed citations
7.
Tu, Wei-Chih, et al.. (2018). Minimum Spanning Distance for Image Segmentation. 1568–1572.
8.
Wu, Chih-Wei, et al.. (2018). Vehicle Re-identification with the Space-Time Prior. 121–1217. 33 indexed citations
9.
Jiao, Jianbo, Wei-Chih Tu, Shengfeng He, & Rynson W. H. Lau. (2017). FormResNet: Formatted Residual Learning for Image Restoration. University of Birmingham Research Portal (University of Birmingham). 1034–1042. 43 indexed citations
10.
11.
Chen, Yi-Ting, Wei-Chih Tu, & Shao‐Yi Chien. (2016). Fast video super-resolution via approximate nearest neighbor search. 27. 1141–1144.
12.
Tu, Wei-Chih, et al.. (2016). Optimized Regressor Forest for Image Super-Resolution. 85.1–85.12. 1 indexed citations
13.
Tu, Wei-Chih, et al.. (2016). Constant time bilateral filtering for color images. 2. 3309–3313. 4 indexed citations
14.
Tu, Wei-Chih, Shengfeng He, Qingxiong Yang, & Shao‐Yi Chien. (2016). Real-Time Salient Object Detection with a Minimum Spanning Tree. 2334–2342. 221 indexed citations
15.
Tsai, Chia-Liang, Wei-Chih Tu, & Shao‐Yi Chien. (2015). Efficient natural color image denoising based on guided filter. 43–47. 6 indexed citations
16.
Tu, Wei-Chih, Chia-Liang Tsai, & Shao‐Yi Chien. (2014). Collaborative noise reduction using color-line model. 27. 2465–2469. 3 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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2026