Tianyi Yan

2.9k total citations
140 papers, 2.0k citations indexed

About

Tianyi Yan is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Tianyi Yan has authored 140 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Cognitive Neuroscience, 21 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Experimental and Cognitive Psychology. Recurrent topics in Tianyi Yan's work include Functional Brain Connectivity Studies (47 papers), Neural dynamics and brain function (46 papers) and EEG and Brain-Computer Interfaces (34 papers). Tianyi Yan is often cited by papers focused on Functional Brain Connectivity Studies (47 papers), Neural dynamics and brain function (46 papers) and EEG and Brain-Computer Interfaces (34 papers). Tianyi Yan collaborates with scholars based in China, Japan and United States. Tianyi Yan's co-authors include Duanduan Chen, Ying Han, Jinglong Wu, Yang Liu, Tiantian Liu, Luyao Wang, Bin Wang, Kewei Chen, Yan Yan and Piu Chan and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Tianyi Yan

122 papers receiving 2.0k citations

Peers

Tianyi Yan
Comparison fields: 5 of 136
  • Cognitive Neuroscience 1.1k
  • Radiology, Nuclear Medicine and Imaging 330
  • Molecular Biology 289
  • Psychiatry and Mental health 234
  • Neurology 200
Abbas Babajani‐Feremi United States
Kwangsun Yoo South Korea
Marco Riva Italy
Dae‐Jin Kim United States
Fábio R. Torres Brazil
Joon‐Kyung Seong South Korea
Wanlin Zhu China
Michio Tanaka Japan
Guangbin Cui China
Kensuke Kawai Japan
Abbas Babajani‐Feremi United States View profile →
Citations per field, relative to Tianyi Yan
Tianyi Yan · 1×
Citations per year, relative to Tianyi Yan
Tianyi Yan · 1×

Countries citing papers authored by Tianyi Yan

Since Specialization
Citations

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

Fields of papers citing papers by Tianyi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyi Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Tianyi Yan. A scholar is included among the top collaborators of Tianyi Yan 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 Tianyi Yan. Tianyi Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5 4
6 1
7 8
8 14
9 2
10 2
11 7
12 3
13 21
14 13
15 16
16 50
17 9
18 46
19 149
20
Stress Characteristics of Half Rigid Road Under Dynamic Load
2

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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