Bin Yan

1.6k citations
107 papers · 1.1k · h-index 16

Impact in

Papers in

Bin Yan

93 papers receiving 1.1k citations

Peers

Bin Yan
Comparison fields: 5 of 135
  • Complementary and alternative medicine 162
  • Cognitive Neuroscience 351
  • Radiology, Nuclear Medicine and Imaging 323
  • Biomedical Engineering 365
  • Psychiatry and Mental health 114
Replace Makoto Yoshizawa with:
Makoto Yoshizawa Japan
Jae Gwan Kim South Korea
Giovanni Calcagnini Italy
Yung‐Sheng Chen Taiwan
Oldřich Vyšata Czechia
Dan Liu China
Md Belal Bin Heyat China
Hao Tang China
Zhiguo Zhang China
Manjunatha Mahadevappa India
Bin Yan relative to Makoto Yoshizawa Japan Makoto Yoshizawa's profile →
Citations per field
00.5×3.1×
Makoto Yoshizawa · 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 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005130
2 201898
3 201987
4 200564
5 201857
6 201946
7 201840
8 202238
9 200634
10 201832
11 201924
12 201624
13 201923
14 202021
15 201620
16 202020
17 201515
18 202314
19 202014
20 201714

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 Artificial Intelligence, having authored 107 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (37 papers), Medical Imaging Techniques and Applications (37 papers), Radiation Dose and Imaging (16 papers), EEG and Brain-Computer Interfaces (15 papers), Neural dynamics and brain function (11 papers), Functional Brain Connectivity Studies (8 papers), Advanced X-ray Imaging Techniques (8 papers) and Advanced MRI Techniques and Applications (7 papers). The work is most often cited by research in Complementary and alternative medicine (162 citations), Cognitive Neuroscience (351 citations), Radiology, Nuclear Medicine and Imaging (323 citations), Biomedical Engineering (365 citations) and Psychiatry and Mental health (114 citations). Bin Yan has collaborated with scholars based in China, Switzerland and Hong Kong. Frequent co-authors include Li Tong, Linyuan Wang, Ying Zeng, Ailong Cai, Chi Zhang, Kuncheng Li, Baoci Shan, Xiaowei Tang, Lei Zhang and Yu Gu. Their work appears in journals such as Journal of X-Ray Science and Technology, IEEE Access, Sensors, Computers in Biology and Medicine and Measurement.

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