Kaida Xiao

1.4k total citations
97 papers, 893 citations indexed

About

Kaida Xiao is a scholar working on Atomic and Molecular Physics, and Optics, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Kaida Xiao has authored 97 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Atomic and Molecular Physics, and Optics, 47 papers in Social Psychology and 21 papers in Cognitive Neuroscience. Recurrent topics in Kaida Xiao's work include Color Science and Applications (77 papers), Color perception and design (47 papers) and Visual perception and processing mechanisms (20 papers). Kaida Xiao is often cited by papers focused on Color Science and Applications (77 papers), Color perception and design (47 papers) and Visual perception and processing mechanisms (20 papers). Kaida Xiao collaborates with scholars based in United Kingdom, China and Spain. Kaida Xiao's co-authors include Sophie Wuerger, J.R. Yates, Changjun Li, Michael Pointer, Faraedon Zardawi, Richard van Noort, Ming Ronnier Luo, Stephen Westland, Dìmosthenis Karatzas and Ming Ronnier Luo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Optics Express.

In The Last Decade

Kaida Xiao

89 papers receiving 845 citations

Peers

Kaida Xiao
Comparison fields: 5 of 113
  • Atomic and Molecular Physics, and Optics 491
  • Social Psychology 337
  • Cognitive Neuroscience 198
  • Computer Vision and Pattern Recognition 168
  • Dermatology 86
Replace Rolf G. Kuehni with:
Rolf G. Kuehni United States
Stephen J. Dain Australia
Vien Cheung United Kingdom
Minchen Wei Hong Kong
Kevin Smet Belgium
Ming Ronnier Luo China
Esther Perales Spain
Péter Bodrogi Germany
Tran Quoc Khanh Germany
Garrett Johnson United States
Rolf G. Kuehni United States View profile →
Citations per field, relative to Kaida Xiao
Kaida Xiao · 1×
Citations per year, relative to Kaida Xiao
Kaida Xiao · 1×

Countries citing papers authored by Kaida Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Kaida Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaida Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Kaida Xiao. A scholar is included among the top collaborators of Kaida Xiao 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 Kaida Xiao. Kaida Xiao 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 1
2 0
3 0
4 2
5 0
6 7
7 2
8 14
9 3
10 7
11 6
12 3
13 7
14
Mechanical Properties of 3D Printed Facial Prostheses compared to Handmade Silicone Polymer Prostheses
11
15 32
16 30
17 2
18
Colour Appearance for Dissimilar Sizes.
9
19 8
20 3

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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