Xiaoyu Tong

767 citations
11 papers · 236 indexed · 1 hit paper · h-index 7
Topics
Functional Brain Connectivity Studies (6 papers)EEG and Brain-Computer Interfaces (3 papers)Treatment of Major Depression (3 papers)

In The Last Decade

Xiaoyu Tong

11 papers receiving 235 citations

Hit Papers

Simple Behavioral Analysis (SimBA) as a platform for expl...2024202620252024204060

Peers

Xiaoyu Tong
Comparison fields: 5 of 62
  • Cognitive Neuroscience 107
  • Social Psychology 88
  • Cellular and Molecular Neuroscience 65
  • Molecular Biology 31
  • Experimental and Cognitive Psychology 28
Replace Constanze Lenschow with:
Constanze Lenschow Germany
Can Tao United States
Karolina Farrell United Kingdom
Jillian L. Seiler United States
A-Hyun Jung South Korea
David J. Estrin United States
Iman A. Wahle United States
Issac Rhim United States
Akiyuki Watarai Japan
Anne F. Pierce United States
Xiaoyu Tong relative to Constanze Lenschow Germany Constanze Lenschow's profile →
Citations per field
00.5×3.1×
Constanze Lenschow · 1×
Citations per year

Countries citing papers authored by Xiaoyu Tong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyu Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyu Tong. A scholar is included among the top collaborators of Xiaoyu Tong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoyu Tong. Xiaoyu Tong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 2
2 1
3 1
4 13
5
Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neurosciencebreakdown →
62
6 9
7 23
8 29
9 9
10 85
11 2

About Xiaoyu Tong

Xiaoyu Tong is a scholar working on Cognitive Neuroscience, Developmental Neuroscience and Experimental and Cognitive Psychology, having authored 11 papers that have together received 236 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), EEG and Brain-Computer Interfaces (3 papers) and Treatment of Major Depression (3 papers). The work is most often cited by research in Behavioral Neuroscience (27 citations), Cognitive Neuroscience (107 citations) and Social Psychology (88 citations). Xiaoyu Tong has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Dayu Lin, Takuya Osakada, Bing Dai, Fangmiao Sun, Yulong Li, Nancy B. Carlisle, Yu Zhang, Hua Xie, Gregory A. Fonzo and Amit Etkin. Their work appears in journals such as Neuron, Nature Neuroscience and Molecular Psychiatry.

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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