Han Yan

42 papers receiving 467 citations

Peers

Han Yan
Comparison fields: 5 of 96
  • Ceramics and Composites 75
  • Radiology, Nuclear Medicine and Imaging 74
  • Statistical and Nonlinear Physics 42
  • Materials Chemistry 157
  • Cognitive Neuroscience 56
Replace Christopher Sramek with:
Christopher Sramek United States
Frédéric Bourgeois France
Jae Myung Kim South Korea
Pranab Banerjee United States
Jinchun Wang China
Mykhaylo Evstigneev Canada
Douglas J. Little Australia
Yishan Zhong United States
Honghao Xu China
Han Yan relative to Christopher Sramek United States Christopher Sramek's profile →
Citations per field
00.5×11×
Christopher Sramek · 1×
Citations per year

Countries citing papers authored by Han Yan

Since Specialization
Citations

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

Fields of papers citing papers by Han Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202068
2 201362
3 200956
4 201932
5 201927
6 202025
7 202118
8 202517
9 201715
10 202313
11 201613
12 202411
13 202310
14 201910
15 20129
16 20219
17 20209
18 20249
19 20247
20 20197

About Han Yan

Han Yan is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 481 indexed citations. Recurring topics across this work include Microwave Dielectric Ceramics Synthesis (7 papers), Ferroelectric and Piezoelectric Materials (7 papers), Neural dynamics and brain function (7 papers), Advanced X-ray and CT Imaging (4 papers), Optical Imaging and Spectroscopy Techniques (3 papers), Wind Energy Research and Development (3 papers), Neural Networks and Applications (3 papers) and Orthopaedic implants and arthroplasty (3 papers). The work is most often cited by research in Ceramics and Composites (75 citations), Radiology, Nuclear Medicine and Imaging (74 citations), Statistical and Nonlinear Physics (42 citations), Materials Chemistry (157 citations) and Cognitive Neuroscience (56 citations). Han Yan has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Lei Li, Xiang Ming Chen, Wen Hong, Jin Wang, Shu Ya Wu, Gültekin Gülşen, Orhan Nalcioğlu, Yuting Lin, Hang Yang and Liang Hu. Their work appears in journals such as Animals, Journal of the European Ceramic Society, The Journal of the Acoustical Society of America, Physics of Fluids and PLoS ONE.

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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