Su‐Ling Yeh

2.5k citations
152 papers · 1.8k · h-index 23

Impact in

Papers in

Su‐Ling Yeh

142 papers receiving 1.8k citations

Peers

Su‐Ling Yeh
Comparison fields: 5 of 120
  • Cognitive Neuroscience 1.0k
  • Experimental and Cognitive Psychology 542
  • Sensory Systems 146
  • Social Psychology 411
  • Human-Computer Interaction 117
Replace Daniël Schreij with:
Daniël Schreij Netherlands
Caroline Blais Canada
Megan H. Papesh United States
Troy A. W. Visser Australia
Alejandro Lleras United States
Weiwei Zhang United States
Sylvain Sirois United Kingdom
Hiroyuki Sogo Japan
Jun‐ichiro Kawahara Japan
Jan W. de Fockert United Kingdom
Su‐Ling Yeh relative to Daniël Schreij Netherlands Daniël Schreij's profile →
Citations per field
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Daniël Schreij · 1×
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 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200283
2 201069
3 201960
4 200959
5 201257
6 201953
7 201152
8 202251
9 201251
10 201147
11 200345
12 200542
13 200441
14 201734
15 201131
16 200928
17 201227
18 201226
19 202025
20 200325

About Su‐Ling Yeh

Su‐Ling Yeh is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Computer Vision and Pattern Recognition and Sensory Systems, having authored 152 papers that have together received 1.8k 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 (542 citations), Sensory Systems (146 citations), Social Psychology (411 citations) and Human-Computer Interaction (117 citations). Su‐Ling Yeh has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Li Jingling, Yi‐Chuan Chen, Wei‐Lun Chou, Kuan-Ming Chen, Hsin‐I Liao, Peter Krämer, Charles Spence, Sung-En Chien, Yi-Chia Chen and Homer H. Chen. Their work appears in journals such as Journal of Vision, Vision Research, Consciousness and Cognition, Scientific Reports and Frontiers in Psychology.

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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