Yi Pan

617 citations
33 papers · 471 · h-index 13

Impact in

    • Neural and Behavioral Psychology Studies
    • Visual perception and processing mechanisms
    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces
    • Land Use and Ecosystem Services

Papers in

Yi Pan

31 papers receiving 460 citations

Peers

Yi Pan
Comparison fields: 5 of 77
  • Cognitive Neuroscience 231
  • Global and Planetary Change 112
  • Sensory Systems 19
  • Experimental and Cognitive Psychology 51
  • Health, Toxicology and Mutagenesis 48
Replace Ruqian Zhang with:
Ruqian Zhang China
Xinxin Ren China
Arto Haapala Finland
Brad Wible United States
Andrew Mitchell United Kingdom
Kathryn E. Schertz United States
Christopher Cuttle New Zealand
Isabel López Barrio Spain
Kimberly Lewis Meidenbauer United States
Stephen C. Van Hedger United States
Yi Pan relative to Ruqian Zhang China Ruqian Zhang's profile →
Citations per field
00.5×10×15.3×
Ruqian Zhang · 1×
Citations per year

Countries citing papers authored by Yi Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yi Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201565
2 201360
3 201537
4 200936
5 201036
6 201133
7 202129
8 200925
9 201023
10 201222
11 202218
12 202217
13 201913
14 201612
15 201612
16 20204
17 20223
18 20193
19 20133
20 20153

About Yi Pan

Yi Pan is a scholar working on Cognitive Neuroscience, Global and Planetary Change, Social Psychology, Experimental and Cognitive Psychology and Ecology, having authored 33 papers that have together received 471 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (17 papers), Neural and Behavioral Psychology Studies (15 papers), Land Use and Ecosystem Services (8 papers), Neural dynamics and brain function (5 papers), Color perception and design (3 papers), Human-Automation Interaction and Safety (2 papers), Olfactory and Sensory Function Studies (2 papers) and Creativity in Education and Neuroscience (2 papers). The work is most often cited by research in Cognitive Neuroscience (231 citations), Global and Planetary Change (112 citations), Sensory Systems (19 citations), Experimental and Cognitive Psychology (51 citations) and Health, Toxicology and Mutagenesis (48 citations). Yi Pan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include David Soto, Yajun Zhao, Ke Wang, Jinxia Zhu, Baihua Xu, Amir Reza Shahtahmassebi, Jie Song, Golnaz Shahtahmassebi, Jinsong Deng and George Alan Blackburn. Their work appears in journals such as Attention Perception & Psychophysics, Vision Research, Psychonomic Bulletin & Review, Quarterly Journal of Experimental Psychology and Sustainability.

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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