Bin Yan

1.7k citations
110 papers · 1.2k · h-index 17

Impact in

Papers in

Bin Yan

101 papers receiving 1.2k citations

Peers

Bin Yan
Comparison fields: 5 of 132
  • Complementary and alternative medicine 164
  • Cognitive Neuroscience 344
  • Radiology, Nuclear Medicine and Imaging 299
  • Biomedical Engineering 383
  • Psychiatry and Mental health 88
Replace Makoto Yoshizawa with:
Makoto Yoshizawa Japan
Jae Gwan Kim South Korea
Giovanni Calcagnini Italy
Norihiro Sugita Japan
Oldřich Vyšata Czechia
Kwang Suk Park South Korea
Yung‐Sheng Chen Taiwan
Dan Liu China
Manjunatha Mahadevappa India
Zhiguo Zhang China
Bin Yan relative to Makoto Yoshizawa Japan Makoto Yoshizawa's profile →
Citations per field
00.5×3.0×
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 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005142
2 2018108
3 201997
4 200565
5 201863
6 201955
7 201847
8 202239
9 200635
10 201832
11 202026
12 201625
13 201925
14 201625
15 201925
16 202021
17 202316
18 202015
19 201515
20 201715

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 110 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (37 papers), Medical Imaging Techniques and Applications (34 papers), EEG and Brain-Computer Interfaces (15 papers), Radiation Dose and Imaging (14 papers), Neural dynamics and brain function (11 papers), Functional Brain Connectivity Studies (8 papers), Advanced MRI Techniques and Applications (7 papers) and Sparse and Compressive Sensing Techniques (6 papers). The work is most often cited by research in Complementary and alternative medicine (164 citations), Cognitive Neuroscience (344 citations), Radiology, Nuclear Medicine and Imaging (299 citations), Biomedical Engineering (383 citations) and Psychiatry and Mental health (88 citations). Bin Yan has collaborated with scholars based in China, Hong Kong and Switzerland. Frequent co-authors include Li Tong, Linyuan Wang, Ying Zeng, Ailong Cai, Chi Zhang, Baoci Shan, Kuncheng Li, Jianyang Xu, Qing Li 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 Applied Intelligence.

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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