Long Yu

1.3k citations
48 papers · 892 · 1 hit paper · h-index 18

Impact in

Papers in

Long Yu

46 papers receiving 873 citations

Long Yu's Hit Papers

Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning 2018 · 219 citations
2190+2+5Years since publication50100150200

Peers

Long Yu
Comparison fields: 5 of 96
  • Industrial and Manufacturing Engineering 248
  • Media Technology 95
  • Computer Vision and Pattern Recognition 203
  • Civil and Structural Engineering 206
  • Mechanical Engineering 279
Replace Davide Roverso with:
Davide Roverso Norway
Yunpeng Wu China
Jianwei Yang China
Wu Deng China
Juliette Marais France
Shubin Zheng China
Viktor Slavkovikj Belgium
Qingxu Deng China
Long Yu relative to Davide Roverso Norway Davide Roverso's profile →
Citations per field
00.5×3.1×
Davide Roverso · 1×
Citations per year

Countries citing papers authored by Long Yu

Since Specialization
Citations

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

Fields of papers citing papers by Long Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning
Hit paper breakdown →
2018219
2 201379
3 201548
4 202048
5 201847
6 201941
7 201736
8 202331
9 202227
10 202226
11 202224
12 202124
13 201923
14 202222
15 202022
16 202319
17 201917
18 202217
19 202313
20 202310

About Long Yu

Long Yu is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Cardiology and Cardiovascular Medicine, Civil and Structural Engineering and Control and Systems Engineering, having authored 48 papers that have together received 892 indexed citations. Recurring topics across this work include Railway Engineering and Dynamics (14 papers), Electrical Contact Performance and Analysis (13 papers), Railway Systems and Energy Efficiency (10 papers), Infrastructure Maintenance and Monitoring (7 papers), Cardiac Imaging and Diagnostics (6 papers), Cardiovascular Function and Risk Factors (5 papers), Fuzzy Logic and Control Systems (5 papers) and Data Mining Algorithms and Applications (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (248 citations), Media Technology (95 citations), Computer Vision and Pattern Recognition (203 citations), Civil and Structural Engineering (206 citations) and Mechanical Engineering (279 citations). Long Yu has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Dongkai Zhang, Gaoqiang Kang, Shibin Gao, Shibin Gao, Xiaoguang Wei, Jian Xiao, Jian Wang, Muhammad Naveed Iqbal, Lu Han and Jian Xiao. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Reliability Engineering & System Safety, IEEE Access, Cardiovascular Diabetology and IEEE Transactions on Intelligent Transportation Systems.

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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