Kenneth Vanhoey

903 citations
13 papers · 513 · 1 hit paper · h-index 8

Impact in

Papers in

Kenneth Vanhoey

13 papers receiving 500 citations

Kenneth Vanhoey's Hit Papers

DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks 2017 · 359 citations
3590+3+6Years since publication100200300

Peers

Kenneth Vanhoey
Comparison fields: 5 of 49
  • Computer Graphics and Computer-Aided Design 80
  • Computer Vision and Pattern Recognition 465
  • Media Technology 147
  • Computational Mechanics 35
  • Biophysics 9
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Wenbo Bao China
YiChang Shih United States
John Isidoro United States
Cheng-en Guo United States
Sylvain Paris United States
Pravin Bhat United States
Weihao Xia China
Siegfried Föessel Germany
Zhaorong Li China
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Citations per field
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Citations per year

Countries citing papers authored by Kenneth Vanhoey

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Vanhoey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth Vanhoey. 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 Kenneth Vanhoey. The network helps show where Kenneth Vanhoey may publish in the future.

Co-authors

The 22 scholars most cited alongside Kenneth Vanhoey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kenneth Vanhoey Line = papers co-authored together Kenneth Vanhoey links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks
Hit paper breakdown →
2017359
2 201836
3 201831
4 201318
5 201515
6 201715
7 201713
8 20219
9 20134
10 20174
11 20174
12 20153
13
Deep Unsupervised Intrinsic Image Decomposition by Siamese Training.
20182

About Kenneth Vanhoey

Kenneth Vanhoey is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Environmental Engineering and Building and Construction, having authored 13 papers that have together received 513 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Image Enhancement Techniques (5 papers), Computer Graphics and Visualization Techniques (5 papers), Advanced Image Processing Techniques (5 papers), 3D Shape Modeling and Analysis (4 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (80 citations), Computer Vision and Pattern Recognition (465 citations), Media Technology (147 citations), Computational Mechanics (35 citations) and Biophysics (9 citations). Kenneth Vanhoey has collaborated with scholars based in Switzerland, France and Belgium. Frequent co-authors include Nikolay Kobyshev, Andrey Ignatov, Radu Timofte, Luc Van Gool, Jean‐Luc Dupuy, Jean‐Michel Dischler, Michal Perďoch, George Drettakis, Alexei A. Efros and Guillaume Lavoué. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Applied Perception, The Visual Computer, ACM Transactions on Graphics and Lirias (KU Leuven).

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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