Bin Yan

2.7k citations
169 papers · 1.9k · h-index 23

Impact in

Papers in

Bin Yan

156 papers receiving 1.8k citations

Peers

Bin Yan
Comparison fields: 5 of 130
  • Cognitive Neuroscience 810
  • Experimental and Cognitive Psychology 385
  • Radiology, Nuclear Medicine and Imaging 551
  • Human-Computer Interaction 113
  • Computer Vision and Pattern Recognition 332
Replace Hao Dong with:
Hao Dong China
Kai Ma China
Giuseppe Placidi Italy
Malek Adjouadi United States
Hartmut Dickhaus Germany
Hao Tang China
Pan Lin China
Kwang Suk Park South Korea
Adrian Basarab France
Shu Zhang China
Bin Yan relative to Hao Dong China Hao Dong's profile →
Citations per field
00.5×10×20×30×40×45×
Hao Dong · 1×
Citations per year

Countries citing papers authored by Bin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017224
2 2020122
3 201869
4 201861
5 202060
6 201956
7 202155
8 201954
9 201549
10 201344
11 201542
12 201535
13 201630
14 201429
15 202128
16 202228
17 201827
18 202227
19 201827
20 201926

About Bin Yan

Bin Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Radiation, having authored 169 papers that have together received 1.9k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (60 papers), Advanced X-ray and CT Imaging (50 papers), Neural dynamics and brain function (31 papers), EEG and Brain-Computer Interfaces (27 papers), Advanced MRI Techniques and Applications (21 papers), Visual Attention and Saliency Detection (16 papers), Functional Brain Connectivity Studies (13 papers) and Medical Image Segmentation Techniques (12 papers). The work is most often cited by research in Cognitive Neuroscience (810 citations), Experimental and Cognitive Psychology (385 citations), Radiology, Nuclear Medicine and Imaging (551 citations), Human-Computer Interaction (113 citations) and Computer Vision and Pattern Recognition (332 citations). Bin Yan has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Li Tong, Ying Zeng, Chi Zhang, Linyuan Wang, Ning Zhuang, Hanming Zhang, Kai Qiao, Jun Shu, Jian Chen and Lei Zeng. Their work appears in journals such as Journal of X-Ray Science and Technology, BioMed Research International, Frontiers in Human Neuroscience, PLoS ONE and Medical Physics.

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