Chen-Ping Yu

917 citations
17 papers · 321 · h-index 9

Impact in

    • Face Recognition and Perception
    • Visual perception and processing mechanisms
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Visual Attention and Saliency Detection
    • Medical Image Segmentation Techniques
    • Advanced Image and Video Retrieval Techniques

Papers in

    • Visual Attention and Saliency Detection 8
    • Advanced Image and Video Retrieval Techniques 4
    • Medical Image Segmentation Techniques 3
    • Visual perception and processing mechanisms 7
    • Neural dynamics and brain function 3
    • Face Recognition and Perception 2
    • Aesthetic Perception and Analysis 2

Chen-Ping Yu

15 papers receiving 313 citations

Peers

Chen-Ping Yu
Comparison fields: 5 of 56
  • Cognitive Neuroscience 174
  • Computer Vision and Pattern Recognition 158
  • Neurology 29
  • Experimental and Cognitive Psychology 34
  • Social Psychology 26
Replace Saime Akdemir Akar with:
Saime Akdemir Akar Türkiye
Arnaud Dapogny France
Jonathan Robinson Australia
David J. Jilk United States
Emanuele Olivetti Italy
Shubham Dodia India
Luca Ambrogioni Netherlands
Deepali Aneja United States
Isabela Albuquerque Canada
Haojun Xu China
Chen-Ping Yu relative to Saime Akdemir Akar Türkiye Saime Akdemir Akar's profile →
Citations per field
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Saime Akdemir Akar · 1×
Citations per year

Countries citing papers authored by Chen-Ping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Chen-Ping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen-Ping Yu. 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 Chen-Ping Yu. The network helps show where Chen-Ping Yu may publish in the future.

Co-authors

The 17 scholars most cited alongside Chen-Ping Yu, 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 Chen-Ping Yu Line = papers co-authored together Chen-Ping Yu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2018146
2 201138
3 201628
4 201422
5 201318
6 201417
7 201514
8 201212
9 201210
10 20155
11 20194
12
Modeling Clutter Perception using Parametric Proto-object Partitioning
20132
13 20142
14 20162
15 20171
16
Modeling the Receptive Field Organization Of Optic Flow Selective MST Neurons
20070
17 20160

About Chen-Ping Yu

Chen-Ping Yu is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Neurology, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics, having authored 17 papers that have together received 321 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (8 papers), Visual perception and processing mechanisms (7 papers), Advanced Image and Video Retrieval Techniques (4 papers), Medical Image Segmentation Techniques (3 papers), Neural dynamics and brain function (3 papers), Face Recognition and Perception (2 papers), Brain Tumor Detection and Classification (2 papers) and Aesthetic Perception and Analysis (2 papers). The work is most often cited by research in Cognitive Neuroscience (174 citations), Computer Vision and Pattern Recognition (158 citations), Neurology (29 citations), Experimental and Cognitive Psychology (34 citations) and Social Psychology (26 citations). Chen-Ping Yu has collaborated with scholars based in United States and Brazil. Frequent co-authors include Talia Konkle, Bria Long, Gregory J. Zelinsky, Dimitris Samaras, Guilherme Ruppert, Alexandre X. Falcão, Yanxi Liu, G. J. Zelinsky, Tomás F. Yago Vicente and Dan Nguyen. Their work appears in journals such as Journal of Vision, Visual Cognition, Vision Research, Psychological Science and Proceedings of the National Academy of Sciences.

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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