Pao‐Chi Chang

1.6k total citations
121 papers, 1.2k citations indexed

About

Pao‐Chi Chang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Pao‐Chi Chang has authored 121 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Computer Vision and Pattern Recognition, 76 papers in Signal Processing and 18 papers in Artificial Intelligence. Recurrent topics in Pao‐Chi Chang's work include Video Coding and Compression Technologies (40 papers), Advanced Data Compression Techniques (29 papers) and Advanced Vision and Imaging (24 papers). Pao‐Chi Chang is often cited by papers focused on Video Coding and Compression Technologies (40 papers), Advanced Data Compression Techniques (29 papers) and Advanced Vision and Imaging (24 papers). Pao‐Chi Chang collaborates with scholars based in Taiwan, United States and China. Pao‐Chi Chang's co-authors include Robert M. Gray, Shih-Wei Sun, Chun-Shien Lu, B.-H. Juang, Kai-Wen Liang, Ssu‐Han Chen, Jia‐Ching Wang, R. Wang, Wei‐Lun Hsu and Chien-Yao Wang and has published in prestigious journals such as Sensors, IEEE Transactions on Vehicular Technology and IEEE Transactions on Cybernetics.

In The Last Decade

Pao‐Chi Chang

111 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pao‐Chi Chang Taiwan 14 553 408 384 368 178 121 1.2k
Laura Toni United Kingdom 18 506 0.9× 286 0.7× 304 0.8× 368 1.0× 106 0.6× 68 956
Nikolaos Thomos United Kingdom 18 429 0.8× 438 1.1× 249 0.6× 637 1.7× 108 0.6× 85 1.1k
Chong‐Min Kyung South Korea 17 538 1.0× 418 1.0× 228 0.6× 328 0.9× 195 1.1× 165 1.3k
Chenglin Li China 20 632 1.1× 220 0.5× 290 0.8× 358 1.0× 165 0.9× 121 1.1k
John Apostolopoulos United States 17 521 0.9× 304 0.7× 302 0.8× 595 1.6× 80 0.4× 72 1.1k
Ashfaq Khokhar United States 17 314 0.6× 305 0.7× 130 0.3× 580 1.6× 233 1.3× 86 1.1k
Yoshikazu Miyanaga Japan 16 195 0.4× 578 1.4× 416 1.1× 344 0.9× 312 1.8× 241 1.2k
Li Shang China 14 337 0.6× 373 0.9× 201 0.5× 203 0.6× 149 0.8× 54 1.0k
Suhua Tang Japan 15 353 0.6× 424 1.0× 121 0.3× 333 0.9× 140 0.8× 117 971
John Glossner United States 13 285 0.5× 358 0.9× 117 0.3× 264 0.7× 276 1.6× 69 986

Countries citing papers authored by Pao‐Chi Chang

Since Specialization
Citations

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

Fields of papers citing papers by Pao‐Chi Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pao‐Chi 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 Pao‐Chi Chang. The network helps show where Pao‐Chi Chang may publish in the future.

Co-authorship network of co-authors of Pao‐Chi Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Pao‐Chi Chang. A scholar is included among the top collaborators of Pao‐Chi 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 Pao‐Chi Chang. Pao‐Chi 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.
Su, Ming-Hsiang, et al.. (2024). Few-Shot Image Segmentation Using Generating Mask with Meta-Learning Classifier Weight Transformer Network. Electronics. 13(13). 2634–2634. 1 indexed citations
2.
Lai, Yen‐Ting, Phuong Thi Le, Zeyu Wang, et al.. (2024). Target Speaker Extraction Using Attention-Enhanced Temporal Convolutional Network. Electronics. 13(2). 307–307. 3 indexed citations
3.
4.
Wang, Chien-Yao, et al.. (2020). Spectral–Temporal Receptive Field-Based Descriptors and Hierarchical Cascade Deep Belief Network for Guitar Playing Technique Classification. IEEE Transactions on Cybernetics. 52(5). 3684–3695. 7 indexed citations
5.
Liang, Kai-Wen, et al.. (2020). Acoustic Echo Cancellation Based on Recurrent Neural Network. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 88–91. 1 indexed citations
6.
Sun, Shih-Wei, et al.. (2019). Baseball Player Behavior Classification System Using Long Short-Term Memory with Multimodal Features. Sensors. 19(6). 1425–1425. 7 indexed citations
7.
8.
Chang, Pao‐Chi, et al.. (2018). Acoustic Scene Classification Using Reduced MobileNet Architecture. 267–270. 11 indexed citations
9.
Wu, Yu‐Chi, Pao‐Chi Chang, Chien-Yao Wang, & Jia‐Ching Wang. (2017). Asymmetrie Kernel Convolutional Neural Network for acoustic scenes classification. 11–12. 5 indexed citations
10.
Liang, Kai-Wen, et al.. (2009). Super-Resolution Image with Estimated High Frequency Compensated algorithm. 175–180. 8 indexed citations
11.
Chang, Pao‐Chi, et al.. (2007). Real-Time Foreground Segmentation for the Moving Camera Based on H.264 Video Coding Information. 2182. 385–390. 4 indexed citations
12.
Chang, Pao‐Chi, et al.. (2006). An error resilient scheme for H.264 video coding based on distortion estimated mode decision and nearest neighbor error concealment. Journal of Zhejiang University. Science A. 7(S1). 34–40. 2 indexed citations
13.
Sun, Shih-Wei, et al.. (2006). Motion-embedded residual error for packet loss recovery of video transmission and encryption. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6077. 60771B–60771B. 4 indexed citations
14.
Sun, Shih-Wei & Pao‐Chi Chang. (2004). Video watermarking synchronization based on profile statistics. IEEE Aerospace and Electronic Systems Magazine. 19(5). 21–25. 6 indexed citations
15.
Sun, Shih-Wei & Pao‐Chi Chang. (2004). Image watermarking system based on centroid projection. 2. 1158–1162. 1 indexed citations
16.
Chang, Pao‐Chi, et al.. (2003). <title>Key-based video watermarking system on MPEG-2</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5020. 516–525. 2 indexed citations
17.
Chang, Pao‐Chi, et al.. (2001). Error Detection by Parity Checks for H.263 Compatible Video Coding. 522. 1 indexed citations
18.
Chang, Pao‐Chi, et al.. (2001). An Efficient Data Embedding Algorithm for H.263 Compatible Video Coding. 489. 1 indexed citations
19.
Chang, Pao‐Chi, et al.. (1998). <title>Precise error tracking for terminating error propagation effects in H.263 video transmission</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3561. 265–273. 1 indexed citations
20.
Chang, Pao‐Chi, et al.. (1985). Hierarchical vector quantizers with table-lookup encoders. International Conference on Communications. 3. 1452–1455. 13 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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