Chuo-Ling Chang

1.4k total citations
24 papers, 591 citations indexed

About

Chuo-Ling Chang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Chuo-Ling Chang has authored 24 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 3 papers in Media Technology. Recurrent topics in Chuo-Ling Chang's work include Advanced Data Compression Techniques (14 papers), Advanced Vision and Imaging (9 papers) and Image and Signal Denoising Methods (8 papers). Chuo-Ling Chang is often cited by papers focused on Advanced Data Compression Techniques (14 papers), Advanced Vision and Imaging (9 papers) and Image and Signal Denoising Methods (8 papers). Chuo-Ling Chang collaborates with scholars based in United States. Chuo-Ling Chang's co-authors include Bernd Girod, Xiaoqing Zhu, P. Ramanathan, Sam S. Tsai, Matthias Grundmann, Mina Makar, Jiuqiang Tang, Arian Maleki, Camillo Lugaresi and Hadon Nash and has published in prestigious journals such as IEEE Transactions on Image Processing, Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

In The Last Decade

Chuo-Ling Chang

24 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuo-Ling Chang United States 11 483 168 113 43 36 24 591
Keita Takahashi Japan 12 538 1.1× 72 0.4× 269 2.4× 43 1.0× 58 1.6× 130 649
Songnan Li Hong Kong 15 821 1.7× 142 0.8× 278 2.5× 14 0.3× 19 0.5× 41 915
Kwanghoon Sohn South Korea 16 514 1.1× 82 0.5× 247 2.2× 76 1.8× 22 0.6× 58 625
Norishige Fukushima Japan 15 799 1.7× 223 1.3× 181 1.6× 103 2.4× 20 0.6× 114 1.0k
Zicheng Zhang China 17 635 1.3× 57 0.3× 169 1.5× 39 0.9× 67 1.9× 80 1.1k
Lincheng Li China 14 595 1.2× 199 1.2× 39 0.3× 55 1.3× 36 1.0× 39 738
Seungjoon Yang South Korea 12 546 1.1× 161 1.0× 187 1.7× 8 0.2× 24 0.7× 54 636
Kazunori Kotani Japan 10 397 0.8× 48 0.3× 120 1.1× 23 0.5× 33 0.9× 77 541
Vladimir Vezhnevets Tajikistan 7 599 1.2× 63 0.4× 60 0.5× 190 4.4× 44 1.2× 11 761
Bruce Culbertson United States 10 374 0.8× 40 0.2× 107 0.9× 102 2.4× 16 0.4× 19 477

Countries citing papers authored by Chuo-Ling Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chuo-Ling Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuo-Ling Chang. 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 Chuo-Ling Chang. The network helps show where Chuo-Ling Chang may publish in the future.

Co-authorship network of co-authors of Chuo-Ling Chang

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

All Works

20 of 20 papers shown
1.
2.
Wang, Qifei, Omer Tov, Yang Zhao, et al.. (2023). BlazeStyleGAN: A Real-Time On-Device StyleGAN. 4690–4694. 4 indexed citations
3.
Lugaresi, Camillo, Jiuqiang Tang, Hadon Nash, et al.. (2019). MediaPipe: A Framework for Perceiving and Processing Reality. 108 indexed citations
4.
Chang, Chuo-Ling, Mina Makar, Sam S. Tsai, & Bernd Girod. (2010). Direction-Adaptive Partitioned Block Transform for Color Image Coding. IEEE Transactions on Image Processing. 19(7). 1740–1755. 17 indexed citations
5.
Makar, Mina, Chuo-Ling Chang, David Chen, Sam S. Tsai, & Bernd Girod. (2009). Compression of image patches for local feature extraction. 821–824. 37 indexed citations
6.
Chang, Chuo-Ling & Bernd Girod. (2008). Direction-adaptive partitioned block transform for image coding. 17. 145–148. 20 indexed citations
7.
Chang, Chuo-Ling & Bernd Girod. (2007). Direction-Adaptive Discrete Wavelet Transform for Image Compression. IEEE Transactions on Image Processing. 16(5). 1289–1302. 137 indexed citations
8.
Chang, Chuo-Ling, et al.. (2007). Scalable direction representation for image compression with direction-adaptive discrete wavelet transform. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6508. 65080V–65080V. 4 indexed citations
9.
Chang, Chuo-Ling & Bernd Girod. (2007). Image modeling with parametric texture sources for design and analysis of image processing algorithms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6822. 682229–682229. 1 indexed citations
10.
Chang, Chuo-Ling, Xiaoqing Zhu, P. Ramanathan, & Bernd Girod. (2006). Light field compression using disparity-compensated lifting and shape adaptation. IEEE Transactions on Image Processing. 15(4). 793–806. 68 indexed citations
11.
Chang, Chuo-Ling, Aditya Mavlankar, & Bernd Girod. (2005). Analysis on Quantization Error Propagation for Motion-Compensated Lifted Wavelet Video Coding. 6. 1–4. 3 indexed citations
12.
Chang, Chuo-Ling, SangEun Han, & Bernd Girod. (2005). Sender-based rate-distortion optimized streaming of 3-d wavelet video with low latency. 6. 510–513. 2 indexed citations
13.
Chang, Chuo-Ling, Arian Maleki, & Bernd Girod. (2005). Adaptive Wavelet Transform for Image Compression via Directional Quincunx Lifting. 6. 1–4. 29 indexed citations
14.
Chang, Chuo-Ling & Bernd Girod. (2005). Receiver-based rate-distortion optimized interactive streaming for scalable bitstreams of light fields. 6. 1623–1626. 9 indexed citations
15.
Chang, Chuo-Ling, SangEun Han, & Bernd Girod. (2005). Rate-distortion optimized streaming for 3-D wavelet video. 5. 3141–3144. 5 indexed citations
16.
Chang, Chuo-Ling, Xiaoqing Zhu, P. Ramanathan, & Bernd Girod. (2004). Shape adaptation for light field compression. 1. I–765. 9 indexed citations
17.
Chang, Chuo-Ling & Bernd Girod. (2004). Rate-distortion optimized interactive streaming for scalable bitstreams of light fields. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5308. 222–222. 8 indexed citations
18.
Girod, Bernd, Chuo-Ling Chang, P. Ramanathan, & Xiaoqing Zhu. (2003). Light field compression using disparity-compensated lifting. I–373. 43 indexed citations
19.
Chang, Chuo-Ling, et al.. (2003). <title>Inter-view wavelet compression of light fields with disparity-compensated lifting</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5150. 694–706. 10 indexed citations
20.
Chang, Chuo-Ling, Peter Eisert, & Bernd Girod. (2002). Using a 3-D Shape Model for Video Coding. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 291–297. 2 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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