Lai-Man Po

7.0k total citations · 2 hit papers
181 papers, 4.5k citations indexed

About

Lai-Man Po is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Lai-Man Po has authored 181 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 166 papers in Computer Vision and Pattern Recognition, 95 papers in Signal Processing and 20 papers in Media Technology. Recurrent topics in Lai-Man Po's work include Video Coding and Compression Technologies (70 papers), Advanced Vision and Imaging (69 papers) and Advanced Image Processing Techniques (44 papers). Lai-Man Po is often cited by papers focused on Video Coding and Compression Technologies (70 papers), Advanced Vision and Imaging (69 papers) and Advanced Image Processing Techniques (44 papers). Lai-Man Po collaborates with scholars based in Hong Kong, China and Canada. Lai-Man Po's co-authors include Terence Cheung, Yasar Abbas Ur Rehman, Xuyuan Xu, Litong Feng, William K. Cheung, Ka-Man Wong, Kin Wai Lau, Yuming Li, Yuan Fang and Yuzhi Zhao and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Lai-Man Po

165 papers receiving 4.2k citations

Hit Papers

A novel four-step search algorithm for fast block motion ... 1996 2026 2006 2016 1996 2023 250 500 750

Peers

Lai-Man Po
Comparison fields: 5 of 118
  • Computer Vision and Pattern Recognition 3.8k
  • Signal Processing 2.5k
  • Media Technology 508
  • Biomedical Engineering 413
  • Cardiology and Cardiovascular Medicine 305
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Jayanta Mukherjee India View profile →
Citations per field, relative to Lai-Man Po
Lai-Man Po · 1×
Citations per year, relative to Lai-Man Po
Lai-Man Po · 1×

Countries citing papers authored by Lai-Man Po

Since Specialization
Citations

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

Fields of papers citing papers by Lai-Man Po

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lai-Man Po. 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 Lai-Man Po. The network helps show where Lai-Man Po may publish in the future.

Co-authorship network of co-authors of Lai-Man Po

This figure shows the co-authorship network connecting the top 25 collaborators of Lai-Man Po. A scholar is included among the top collaborators of Lai-Man Po 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 Lai-Man Po. Lai-Man Po 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
# Work Indexed citations
1 2
2 0
3 0
4 2
5 2
6 14
7
Large Separable Kernel Attention: Rethinking the Large Kernel Attention design in CNN breakdown →
231
8 0
9 5
10 43
11 112
12 13
13 34
14 44
15 5
16 1
17
Embedded Lossless Wavelet-Based Image Coder Based on Successive Partition and Hybrid Bit Scanning
1
18
Embedded lossless wavelet coder using multi-partitioning algorithm.
0
19 16
20
Hierarchical Predictive Vq for Color Image Compression
1

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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