Han Yu

828 citations
46 papers · 572 · 1 hit paper · h-index 11

Impact in

Papers in

Han Yu

40 papers receiving 558 citations

Han Yu's Hit Papers

Triplet-Graph Reasoning Network for Few-Shot Metal Generic Surface Defect Segmentation 2021 · 208 citations
2080+1+3Years since publication50100150200

Peers

Han Yu
Comparison fields: 5 of 104
  • Industrial and Manufacturing Engineering 192
  • Geology 56
  • Computer Vision and Pattern Recognition 160
  • Environmental Engineering 74
  • Molecular Medicine 24
Replace Lushen Wu with:
Lushen Wu China
Xiao Pan Canada
Liwei Deng China
Steven G. Satterfield United States
Junhwa Lee South Korea
Weigang Zhao China
Yue Guo China
Charles W. McMillin United States
Fei Fan China
Han Yu relative to Lushen Wu China Lushen Wu's profile →
Citations per field
00.5×5.5×
Lushen Wu · 1×
Citations per year

Countries citing papers authored by Han Yu

Since Specialization
Citations

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

Fields of papers citing papers by Han Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Triplet-Graph Reasoning Network for Few-Shot Metal Generic Surface Defect Segmentation
Hit paper breakdown →
2021208
2 202265
3 202262
4 202030
5 202320
6 202218
7 202418
8 202017
9 201712
10 200712
11 202010
12 20199
13 20208
14 20247
15 20197
16 20216
17 20215
18 20235
19 20244
20 20194

About Han Yu

Han Yu is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 46 papers that have together received 572 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (5 papers), Welding Techniques and Residual Stresses (3 papers), Remote Sensing and LiDAR Applications (3 papers), Advanced X-ray and CT Imaging (3 papers), Advanced Vision and Imaging (3 papers), Robotics and Sensor-Based Localization (2 papers), Advanced Battery Technologies Research (2 papers) and Remote Sensing and Land Use (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (192 citations), Geology (56 citations), Computer Vision and Pattern Recognition (160 citations), Environmental Engineering (74 citations) and Molecular Medicine (24 citations). Han Yu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Kechen Song, Yunhui Yan, Xingjie Li, Yanyan Wang, Jie Liu, Yanqi Bao, Xugang Lian, Xiaoyu Liu, Fan Wang and Yafei Zhang. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Remote Sensing, International Journal of Metalcasting, Transportation Research Part D Transport and Environment and IEEE Wireless Communications.

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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