Yi Pu

465 citations
13 papers · 295 · h-index 8

Impact in

    • Functional Brain Connectivity Studies
    • Memory and Neural Mechanisms
    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces
    • Neural and Behavioral Psychology Studies
    • Memory Processes and Influences
    • Advanced Neuroimaging Techniques and Applications

Papers in

Yi Pu

12 papers receiving 291 citations

Peers

Yi Pu
Comparison fields: 5 of 64
  • Cognitive Neuroscience 253
  • Radiology, Nuclear Medicine and Imaging 71
  • Experimental and Cognitive Psychology 35
  • Psychiatry and Mental health 38
  • Cellular and Molecular Neuroscience 39
Replace Jonathan Shine with:
Jonathan Shine Germany
Eunsam Shin United States
Emahnuel Troisi Lopez Italy
Stanislau Hrybouski Canada
Z.S. Saad United States
Mohammad Dastjerdi United States
J.M. Jansma Netherlands
Carlo Rondinoni Brazil
Benjamin R. Geib United States
Laura L. Denny United States
Yi Pu relative to Jonathan Shine Germany Jonathan Shine's profile →
Citations per field
00.5×1.5×2.0×
Jonathan Shine · 1×
Citations per year

Countries citing papers authored by Yi Pu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Yi Pu, 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 Pu Line = papers co-authored together Yi Pu links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201494
2 202237
3 202036
4 201836
5 201628
6 201622
7 202213
8 201810
9 20206
10 20186
11 20226
12 20241
13 20250

About Yi Pu

Yi Pu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Developmental and Educational Psychology, Radiology, Nuclear Medicine and Imaging and Automotive Engineering, having authored 13 papers that have together received 295 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (6 papers), Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Functional Brain Connectivity Studies (4 papers), Child and Animal Learning Development (3 papers), Hemispheric Asymmetry in Neuroscience (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Evolutionary Psychology and Human Behavior (1 paper). The work is most often cited by research in Cognitive Neuroscience (253 citations), Radiology, Nuclear Medicine and Imaging (71 citations), Experimental and Cognitive Psychology (35 citations), Psychiatry and Mental health (38 citations) and Cellular and Molecular Neuroscience (39 citations). Yi Pu has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Blake W. Johnson, Douglas Cheyne, Xiangzhen Kong, Brian R. Cornwell, Lijie Huang, Zonglei Zhen, Jia Liu, Xu Wang, Zetian Yang and Charan Ranganath. Their work appears in journals such as NeuroImage, Behavioural Brain Research, Nature Communications, Trends in Cognitive Sciences and Frontiers in Neuroscience.

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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