Vien Cheung

57 papers receiving 640 citations

Peers

Vien Cheung
Comparison fields: 5 of 110
  • Atomic and Molecular Physics, and Optics 325
  • Orthodontics 41
  • Computer Vision and Pattern Recognition 176
  • Social Psychology 177
  • Media Technology 63
Replace Kaida Xiao with:
Kaida Xiao United Kingdom
Ming Ronnier Luo China
Haisong Xu China
Esther Perales Spain
Edul N. Dalal United States
Luc Van Eycken Belgium
Marc Mahy Belgium
Tran Quoc Khanh Germany
Wouter Ryckaert Belgium
Yandan Lin China
Vien Cheung relative to Kaida Xiao United Kingdom Kaida Xiao's profile →
Citations per field
00.5×1.5×2.3×
Kaida Xiao · 1×
Citations per year

Countries citing papers authored by Vien Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Vien Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vien Cheung, 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 Vien Cheung Line = papers co-authored together Vien Cheung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200493
2 200580
3 198658
4 200949
5 202037
6 200630
7 200627
8 201925
9 200719
10 201918
11 201017
12 201817
13 200414
14 200913
15 200612
16 202111
17 200211
18 202011
19 201010
20 201810

About Vien Cheung

Vien Cheung is a scholar working on Atomic and Molecular Physics, and Optics, Social Psychology, Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 63 papers that have together received 702 indexed citations. Recurring topics across this work include Color Science and Applications (32 papers), Color perception and design (29 papers), Visual perception and processing mechanisms (13 papers), Multisensory perception and integration (8 papers), Industrial Vision Systems and Defect Detection (5 papers), Olfactory and Sensory Function Studies (5 papers), Infrared Target Detection Methodologies (4 papers) and Additive Manufacturing and 3D Printing Technologies (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (325 citations), Orthodontics (41 citations), Computer Vision and Pattern Recognition (176 citations), Social Psychology (177 citations) and Media Technology (63 citations). Vien Cheung has collaborated with scholars based in United Kingdom, China and Taiwan. Frequent co-authors include Stephen Westland, David Connah, Smith, Caterina Ripamonti, Changjun Li, Jon Yngve Hardeberg, Peter A. Rhodes, Wen Luo, R.P. Ellwood and Iain Pretty. Their work appears in journals such as Color Research & Application, Coloration Technology, Journal of Imaging Science and Technology, Journal of the Optical Society of America A and Ergonomics.

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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