Dan Wei

951 citations
50 papers · 728 · 1 hit paper · h-index 12

Impact in

Papers in

Dan Wei

45 papers receiving 685 citations

Dan Wei's Hit Papers

Experimental demonstration of a three-dimensional lithium niobate nonlinear photonic crystal 2018 · 293 citations
2930+2+5Years since publication50100150200250

Peers

Dan Wei
Comparison fields: 5 of 108
  • Acoustics and Ultrasonics 15
  • Atomic and Molecular Physics, and Optics 329
  • Biomedical Engineering 204
  • Computer Vision and Pattern Recognition 81
  • Computational Mechanics 76
Replace Björn Kruse with:
Björn Kruse Sweden
Bing Lei China
Yimo Zhang China
Tsung‐Hsun Yang Taiwan
Chao‐Wei Chen China
Hongbo Xie China
Qingcao Liu China
Zichun Le China
Daniel Feuermann Israel
Hao Fu China
Dan Wei relative to Björn Kruse Sweden Björn Kruse's profile →
Citations per field
00.5×3.5×
Björn Kruse · 1×
Citations per year

Countries citing papers authored by Dan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Dan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Experimental demonstration of a three-dimensional lithium niobate nonlinear photonic crystal
Hit paper breakdown →
2018293
2 2016101
3 201833
4 201228
5 201325
6 201923
7 202022
8 202018
9 201715
10 202015
11 201214
12 201711
13 201410
14 20118
15 20107
16 20217
17 20237
18 20216
19 20186
20 20186

About Dan Wei

Dan Wei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Molecular Biology, having authored 50 papers that have together received 728 indexed citations. Recurring topics across this work include Orbital Angular Momentum in Optics (7 papers), Video Surveillance and Tracking Methods (7 papers), Human Pose and Action Recognition (5 papers), Vibration Control and Rheological Fluids (5 papers), Advanced Neural Network Applications (4 papers), Optical Polarization and Ellipsometry (4 papers), Gait Recognition and Analysis (4 papers) and Photorefractive and Nonlinear Optics (3 papers). The work is most often cited by research in Acoustics and Ultrasonics (15 citations), Atomic and Molecular Physics, and Optics (329 citations), Biomedical Engineering (204 citations), Computer Vision and Pattern Recognition (81 citations) and Computational Mechanics (76 citations). Dan Wei has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Yong Zhang, Min Xiao, Shining Zhu, Dunzhao Wei, Xinyuan Fang, Jiawen Li, Dong Wu, Yanlei Hu, Huijun Wang and Chaowei Wang. Their work appears in journals such as Optics Express, Neurocomputing, Journal of Testing and Evaluation, Image and Vision Computing and Nature Photonics.

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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