Su‐Ling Yeh

2.6k citations
153 papers · 1.9k · h-index 23

Impact in

Papers in

Su‐Ling Yeh

144 papers receiving 1.8k citations

Peers

Su‐Ling Yeh
Comparison fields: 5 of 122
  • Cognitive Neuroscience 1.0k
  • Experimental and Cognitive Psychology 546
  • Sensory Systems 146
  • Social Psychology 417
  • Human-Computer Interaction 115
Replace Daniël Schreij with:
Daniël Schreij Netherlands
Caroline Blais Canada
Jonas Kristoffer Lindeløv Denmark
Hiroyuki Sogo Japan
Megan H. Papesh United States
Weiwei Zhang United States
Troy A. W. Visser Australia
Sylvain Sirois Canada
Alejandro Lleras United States
Koen Derks Netherlands
Su‐Ling Yeh relative to Daniël Schreij Netherlands Daniël Schreij's profile →
Citations per field
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Citations per year

Countries citing papers authored by Su‐Ling Yeh

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Ling Yeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Ling Yeh. 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 Su‐Ling Yeh. The network helps show where Su‐Ling Yeh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200282
2 201069
3 201963
4 200960
5 202258
6 201257
7 201956
8 201252
9 201151
10 201148
11 200345
12 200542
13 200441
14 201733
15 201131
16 200928
17 201227
18 202027
19 201226
20 200325

About Su‐Ling Yeh

Su‐Ling Yeh is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Sensory Systems and Computer Vision and Pattern Recognition, having authored 153 papers that have together received 1.9k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (55 papers), Neural and Behavioral Psychology Studies (39 papers), Multisensory perception and integration (33 papers), Face Recognition and Perception (24 papers), Color perception and design (13 papers), Olfactory and Sensory Function Studies (12 papers), Social Robot Interaction and HRI (12 papers) and Visual Attention and Saliency Detection (11 papers). The work is most often cited by research in Cognitive Neuroscience (1.0k citations), Experimental and Cognitive Psychology (546 citations), Sensory Systems (146 citations), Social Psychology (417 citations) and Human-Computer Interaction (115 citations). Su‐Ling Yeh has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Li Jingling, Yi‐Chuan Chen, Hsin‐I Liao, Wei‐Lun Chou, Kuan-Ming Chen, Peter Krämer, Sung-En Chien, Charles J. Spence, Yi-Chia Chen and Homer H. Chen. Their work appears in journals such as Journal of Vision, Vision Research, Consciousness and Cognition, Frontiers in Psychology and Journal of Experimental Psychology Human Perception & Performance.

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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