Han Yuan

4.7k total citations
93 papers, 3.3k citations indexed

About

Han Yuan is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Han Yuan has authored 93 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Cognitive Neuroscience, 24 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Neurology. Recurrent topics in Han Yuan's work include Functional Brain Connectivity Studies (50 papers), EEG and Brain-Computer Interfaces (38 papers) and Neural dynamics and brain function (33 papers). Han Yuan is often cited by papers focused on Functional Brain Connectivity Studies (50 papers), EEG and Brain-Computer Interfaces (38 papers) and Neural dynamics and brain function (33 papers). Han Yuan collaborates with scholars based in United States, China and Italy. Han Yuan's co-authors include Bin He, Vadim Zotev, Raquel Phillips, Jerzy Bodurka, Wayne C. Drevets, Masaya Misaki, Lei Ding, Kymberly D. Young, Christopher Wilke and Lin Yang and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Han Yuan

89 papers receiving 3.2k citations

Peers

Han Yuan
Comparison fields: 5 of 133
  • Cognitive Neuroscience 2.6k
  • Cellular and Molecular Neuroscience 552
  • Radiology, Nuclear Medicine and Imaging 397
  • Biomedical Engineering 283
  • Experimental and Cognitive Psychology 271
Replace Lei Ding with:
Lei Ding United States
Koichi Sameshima Brazil
Karim Jerbi France
Camillo Porcaro Italy
Mingxiong Huang United States
Adrian G. Guggisberg Switzerland
Filippo Zappasodi Italy
Vernon L. Towle United States
Fali Li China
Shanbao Tong China
Lei Ding United States View profile →
Citations per field, relative to Han Yuan
Han Yuan · 1×
Citations per year, relative to Han Yuan
Han Yuan · 1×

Countries citing papers authored by Han Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Han Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Han Yuan. A scholar is included among the top collaborators of Han Yuan 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 Han Yuan. Han Yuan 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 1
3 2
4 3
5 1
6 6
7 5
8 49
9 7
10 3
11 15
12 45
13 11
14 10
15 16
16 204
17 59
18 192
19 1
20
Research of serum total cholesterol concentration in depressive patients with attempted suicide
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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026