Yanglong Lu

599 citations
41 papers · 443 · 1 hit paper · h-index 12

Impact in

Papers in

Yanglong Lu

34 papers receiving 440 citations

Yanglong Lu's Hit Papers

Self-supervised graph feature enhancement and scale attention for mechanical signal node-level representation and diagnosis 2025 · 31 citations
310Years since publication102030

Peers

Yanglong Lu
Comparison fields: 5 of 65
  • Industrial and Manufacturing Engineering 161
  • Automotive Engineering 128
  • Mechanical Engineering 173
  • Control and Systems Engineering 75
  • Mechanics of Materials 57
Replace Mehmet Umut Erdaş with:
Mehmet Umut Erdaş Türkiye
Yixian Du China
Bijan Moaveni Iran
Ching Hsieh United States
Bernhard Bettig United States
Yanlong Cao China
Xiaoqing Cheng China
Asha Viswanath United Arab Emirates
Yanglong Lu relative to Mehmet Umut Erdaş Türkiye Mehmet Umut Erdaş's profile →
Citations per field
00.5×10.7×
Mehmet Umut Erdaş · 1×
Citations per year

Countries citing papers authored by Yanglong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yanglong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017121
2 201840
3 202438
4
Self-supervised graph feature enhancement and scale attention for mechanical signal node-level representation and diagnosis
Hit paper breakdown →
202531
5 202122
6 202020
7 202219
8 201817
9 202114
10 202213
11 202113
12 202312
13 202011
14 20248
15 20247
16 20237
17 20197
18 20256
19 20236
20 20245

About Yanglong Lu

Yanglong Lu is a scholar working on Biomedical Engineering, Mechanics of Materials, Mechanical Engineering, Computational Mechanics and Control and Systems Engineering, having authored 41 papers that have together received 443 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (7 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Ultrasonics and Acoustic Wave Propagation (6 papers), Additive Manufacturing Materials and Processes (5 papers), Machine Fault Diagnosis Techniques (5 papers), Electrical and Bioimpedance Tomography (5 papers), Thermography and Photoacoustic Techniques (4 papers) and Model Reduction and Neural Networks (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (161 citations), Automotive Engineering (128 citations), Mechanical Engineering (173 citations), Control and Systems Engineering (75 citations) and Mechanics of Materials (57 citations). Yanglong Lu has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Yan Wang, Siu‐Lai Chan, Xin Zhang, Jie Liu, Dehao Liu, Xi Zhang, Eduard Shevtshenko, Qiye Zheng, Charles R. Hatt and Bin Dong. Their work appears in journals such as Journal of Computing and Information Science in Engineering, Journal of Manufacturing Processes, Journal of Manufacturing Systems, Mechanical Systems and Signal Processing and Manufacturing Letters.

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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