Xiaoyu Chen

666 citations
40 papers · 441 · h-index 13

Impact in

Papers in

Xiaoyu Chen

36 papers receiving 437 citations

Peers

Xiaoyu Chen
Comparison fields: 5 of 102
  • Experimental and Cognitive Psychology 90
  • Nutrition and Dietetics 77
  • Pollution 60
  • Food Science 43
  • Cognitive Neuroscience 43
Replace Chun’e Li with:
Chun’e Li China
William G. Harris United States
Arash Akbarzadeh Iran
Mark S. Suggs United States
Denise Beaudequin Australia
Brevick G. Graham United States
A. W. MacRae United Kingdom
W. S. Cain United States
Xiaohan Zhang China
Xiaoyu Chen relative to Chun’e Li China Chun’e Li's profile →
Citations per field
00.5×4.8×
Chun’e Li · 1×
Citations per year

Countries citing papers authored by Xiaoyu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201967
2 201737
3 202235
4 202231
5 201827
6 202224
7 202324
8 202323
9 202320
10 202119
11 202217
12 202214
13 202212
14 202411
15 20168
16 20218
17 20228
18 20237
19 20237
20 20256

About Xiaoyu Chen

Xiaoyu Chen is a scholar working on Experimental and Cognitive Psychology, Plant Science, Nutrition and Dietetics, Social Psychology and Cognitive Neuroscience, having authored 40 papers that have together received 441 indexed citations. Recurring topics across this work include Food composition and properties (7 papers), Sleep and Work-Related Fatigue (5 papers), Spectroscopy and Chemometric Analyses (3 papers), EEG and Brain-Computer Interfaces (3 papers), Microbial Metabolites in Food Biotechnology (3 papers), Sleep and related disorders (3 papers), Emotion and Mood Recognition (3 papers) and GABA and Rice Research (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (90 citations), Nutrition and Dietetics (77 citations), Pollution (60 citations), Food Science (43 citations) and Cognitive Neuroscience (43 citations). Xiaoyu Chen has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Hui Zhang, Chao Chai, Wei Ge, Dan Xiang, Juan Wu, Xiaomei Zhang, Xiaoyuan Zhang, Gangcheng Wu, Lilin Cheng and Jinxin Li. Their work appears in journals such as Frontiers in Psychiatry, International Journal of Biological Macromolecules, International Journal of Human-Computer Interaction, Journal of Engineering Design and Food Bioscience.

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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