P.H.W. Wong

1.0k total citations
54 papers, 675 citations indexed

About

P.H.W. Wong is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, P.H.W. Wong has authored 54 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 23 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in P.H.W. Wong's work include Video Coding and Compression Technologies (16 papers), Advanced Steganography and Watermarking Techniques (14 papers) and Advanced Vision and Imaging (14 papers). P.H.W. Wong is often cited by papers focused on Video Coding and Compression Technologies (16 papers), Advanced Steganography and Watermarking Techniques (14 papers) and Advanced Vision and Imaging (14 papers). P.H.W. Wong collaborates with scholars based in Hong Kong, China and United Kingdom. P.H.W. Wong's co-authors include Oscar C. Au, Yuileong Yeung, Sam Kwong, Wei Gao, Xuekai Wei, Mingliang Zhou, Shiqi Wang, Mengyao Ma, Liwei Guo and Kin Wai Lau and has published in prestigious journals such as IEEE Access, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia.

In The Last Decade

P.H.W. Wong

53 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P.H.W. Wong Hong Kong 15 602 235 61 42 29 54 675
Michael Gormish United States 9 414 0.7× 161 0.7× 41 0.7× 49 1.2× 23 0.8× 25 471
Paulo Nunes Portugal 15 687 1.1× 232 1.0× 197 3.2× 24 0.6× 29 1.0× 56 738
Marta Mrak United Kingdom 14 779 1.3× 468 2.0× 98 1.6× 22 0.5× 44 1.5× 103 840
Édouard François France 12 544 0.9× 260 1.1× 39 0.6× 18 0.4× 25 0.9× 39 589
Thomas Maugey France 14 424 0.7× 223 0.9× 37 0.6× 19 0.5× 116 4.0× 79 493
Xiaozheng Zhang Australia 10 681 1.1× 451 1.9× 32 0.5× 30 0.7× 30 1.0× 29 762
Marco Cagnazzo France 15 647 1.1× 332 1.4× 131 2.1× 35 0.8× 148 5.1× 89 744
Louis Kerofsky United States 10 884 1.5× 474 2.0× 108 1.8× 6 0.1× 70 2.4× 32 983
B. Prasada Canada 11 316 0.5× 84 0.4× 49 0.8× 73 1.7× 34 1.2× 20 416
H.G. Musmann Germany 6 680 1.1× 515 2.2× 28 0.5× 49 1.2× 31 1.1× 8 730

Countries citing papers authored by P.H.W. Wong

Since Specialization
Citations

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

Fields of papers citing papers by P.H.W. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.H.W. Wong. 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 P.H.W. Wong. The network helps show where P.H.W. Wong may publish in the future.

Co-authorship network of co-authors of P.H.W. Wong

This figure shows the co-authorship network connecting the top 25 collaborators of P.H.W. Wong. A scholar is included among the top collaborators of P.H.W. Wong 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 P.H.W. Wong. P.H.W. Wong 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.
Po, Lai-Man, Mengyang Liu, Yuming Li, et al.. (2019). A Novel Patch Variance Biased Convolutional Neural Network for No-Reference Image Quality Assessment. IEEE Transactions on Circuits and Systems for Video Technology. 29(4). 1223–1229. 43 indexed citations
2.
Zhou, Mingliang, et al.. (2019). Global Rate-Distortion Optimization-Based Rate Control for HEVC HDR Coding. IEEE Transactions on Circuits and Systems for Video Technology. 30(12). 4648–4662. 23 indexed citations
3.
Zhou, Mingliang, Xuekai Wei, Shiqi Wang, et al.. (2019). SSIM-Based Global Optimization for CTU-Level Rate Control in HEVC. IEEE Transactions on Multimedia. 21(8). 1921–1933. 48 indexed citations
4.
Gao, Wei, et al.. (2018). Data-Driven Rate Control for Rate-Distortion Optimization in HEVC Based on Simplified Effective Initial QP Learning. IEEE Transactions on Broadcasting. 65(1). 94–108. 31 indexed citations
5.
Guo, Liwei, et al.. (2009). A Novel Analytic Quantization-Distortion Model for Hybrid Video Coding. IEEE Transactions on Circuits and Systems for Video Technology. 19(5). 627–641. 10 indexed citations
6.
Guo, Liwei, Oscar C. Au, Mengyao Ma, et al.. (2008). Image deblocking using convex optimization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3148–3151. 7 indexed citations
7.
Zhou, Jiantao, Oscar C. Au, Xiaopeng Fan, & P.H.W. Wong. (2008). Joint security and performance enhancement for secure arithmetic coding. 3120–3123. 12 indexed citations
8.
Zhou, Jiantao, et al.. (2008). Cryptanalysis of secure arithmetic coding. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 1769–1772. 5 indexed citations
9.
Bottery, Mike, et al.. (2008). Portraits of resilience: headteachers in two different cultures. Education 3-13. 36(2). 183–199. 5 indexed citations
10.
Au, Oscar C., et al.. (2008). Block based parallel motion estimation using programmable graphics hardware. 599–603. 21 indexed citations
11.
Au, Oscar C., et al.. (2007). Intra frame encoding using programmable graphics hardware. Lecture notes in computer science. 4810. 609. 1 indexed citations
12.
Chen, Yan, Oscar C. Au, Xiaopeng Fan, Liwei Guo, & P.H.W. Wong. (2007). Maximum a Posteriori Based (MAP-Based) Video Denoising VIA Rate Distortion Optimization. 1930–1933. 2 indexed citations
13.
Wong, P.H.W., et al.. (2005). Rate estimation for H.264/AVC spatial resolution reduction. 4. 2773–2776. 1 indexed citations
14.
Wong, P.H.W., et al.. (2004). Fast multi-block selection for H.264 video coding. III–817. 15 indexed citations
15.
Wong, P.H.W. & Oscar C. Au. (2003). A blind watermarking technique in JPEG compressed domain. Proceedings - International Conference on Image Processing. 1. 497–500. 13 indexed citations
16.
Wong, P.H.W., et al.. (2002). Predictive motion estimation for reduced-resolution video from high-resolution compressed video. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2. 461–464. 10 indexed citations
17.
Wong, P.H.W., et al.. (2001). A data hiding technique in JPEG compressed domain. Proceedings of SPIE - The International Society for Optical Engineering. 4314. 309. 1 indexed citations
18.
Wong, P.H.W., et al.. (2000). Data Hiding and Watermarking in JPEG Compressed Domain by DC Coefficient Modification. Proceedings of SPIE - The International Society for Optical Engineering. 3971. 237. 3 indexed citations
19.
Wong, P.H.W., et al.. (2000). <title>Data hiding and watermarking in JPEG-compressed domain by DC coefficient modification</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3971. 237–244. 14 indexed citations
20.
Wong, P.H.W., et al.. (1999). Modified one-bit transform for motion estimation. IEEE Transactions on Circuits and Systems for Video Technology. 9(7). 1020–1024. 30 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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