Hsieh S. Hou

1.7k citations
7 papers · 1.2k indexed · 1 hit paper · h-index 2
Topics
Image and Signal Denoising Methods (4 papers)Advanced Data Compression Techniques (3 papers)Color Science and Applications (2 papers)
Partner nations
United StatesFrance

In The Last Decade

Hsieh S. Hou

5 papers receiving 1.2k citations

Hit Papers

Cubic splines for image interpolation and digital filtering19782026199420101978250500750

Peers

Hsieh S. Hou
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 975
  • Signal Processing 340
  • Media Technology 339
  • Computational Mechanics 158
  • Biomedical Engineering 123
Replace Daniel Pak-Kong Lun with:
Daniel Pak-Kong Lun Hong Kong
R.H. Bamberger United States
R. Mersereau United States
S.A. Martucci United States
G.M. Cortelazzo Italy
Rastislav Lukàč Canada
Gabriele Steidl Germany
Hongqing Zhu China
Shankar Rao United States
Wenjie He United States
Hsieh S. Hou relative to Daniel Pak-Kong Lun Hong Kong Daniel Pak-Kong Lun's profile →
Citations per field
00.5×1.5×2.2×
Daniel Pak-Kong Lun · 1×
Citations per year

Countries citing papers authored by Hsieh S. Hou

Since Specialization
Citations

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

Fields of papers citing papers by Hsieh S. Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsieh S. Hou. 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 Hsieh S. Hou. The network helps show where Hsieh S. Hou may publish in the future.

Co-authorship network of co-authors of Hsieh S. Hou

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 1
3 295
4 1
5 1
6 1
7
Cubic splines for image interpolation and digital filteringbreakdown →
938

About Hsieh S. Hou

Hsieh S. Hou is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (4 papers), Advanced Data Compression Techniques (3 papers) and Color Science and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (975 citations), Media Technology (339 citations) and Signal Processing (340 citations). Hsieh S. Hou has collaborated with scholars based in United States and France. Frequent co-authors include Harry Andrews, Andrew G. Tescher and John A. Saghri. Their work appears in journals such as IEEE Transactions on Computers, Optical Engineering and Acta Astronautica.

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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