Weining Lu

2.5k citations
33 papers · 1.8k · 2 hit papers · h-index 15

Impact in

Papers in

Weining Lu

32 papers receiving 1.7k citations

Weining Lu's Hit Papers

Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions 2021 · 172 citations
1720+3+6Years since publication200400600

Peers

Weining Lu
Comparison fields: 5 of 98
  • Control and Systems Engineering 1.3k
  • Mechanical Engineering 721
  • Safety, Risk, Reliability and Quality 148
  • Mechanics of Materials 355
  • Medical Laboratory Technology 22
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Tongyang Pan China
Zitong Zhou China
Yixiao Liao China
Zong Meng China
Jinyang Jiao China
Jipu Li China
Yiwei Cheng China
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Citations per field
00.5×10×20×30×38×
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Citations per year

Countries citing papers authored by Weining Lu

Since Specialization
Citations

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

Fields of papers citing papers by Weining Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Model Based Domain Adaptation for Fault Diagnosis
Hit paper breakdown →
2016612
2 2017215
3
Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions
Hit paper breakdown →
2021172
4 2018152
5 2019115
6 201585
7 201778
8 201565
9 201852
10 201538
11 201927
12 201827
13 201621
14 202419
15 201417
16 201714
17 202312
18 202011
19 20179
20 20197

About Weining Lu

Weining Lu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Artificial Intelligence and Aerospace Engineering, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (13 papers), Fault Detection and Control Systems (6 papers), Robotic Path Planning Algorithms (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Robotics and Sensor-Based Localization (4 papers), Multimodal Machine Learning Applications (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Surface Treatment and Residual Stress (3 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Mechanical Engineering (721 citations), Safety, Risk, Reliability and Quality (148 citations), Mechanics of Materials (355 citations) and Medical Laboratory Technology (22 citations). Weining Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Liang, Jun Yang, Tao Zhang, Deshan Meng, Yu Cheng, Xueqian Wang, Ming Zhang, Duo Wang, Bin Liang and Yuchun Xu. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Image Processing, IEEE Access, Acta Astronautica and IEEE Transactions on Automation Science and Engineering.

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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