Weining Lu

2.6k citations
34 papers · 1.9k · 3 hit papers · h-index 15

Impact in

Papers in

Weining Lu

33 papers receiving 1.8k citations

Weining Lu's Hit Papers

Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions 2021 · 183 citations
1830+3+6Years since publication200400600

Peers

Weining Lu
Comparison fields: 5 of 99
  • Control and Systems Engineering 1.3k
  • Mechanical Engineering 741
  • Safety, Risk, Reliability and Quality 151
  • Medical Laboratory Technology 22
  • Mechanics of Materials 362
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Kun Yu China
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Citations per field
00.5×10×20×30×38.8×
Tongyang Pan · 1×
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 34 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 →
2016631
2
Remaining useful life prediction of aircraft engine based on degradation pattern learning
Hit paper breakdown →
2017226
3
Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions
Hit paper breakdown →
2021183
4 2018158
5 2019116
6 201593
7 201783
8 201568
9 201854
10 201541
11 201828
12 201927
13 202426
14 201621
15 201417
16 202014
17 201714
18 202313
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 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (13 papers), Robotic Path Planning Algorithms (6 papers), Fault Detection and Control Systems (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Anomaly Detection Techniques and Applications (4 papers), Multimodal Machine Learning Applications (4 papers), Robotics and Sensor-Based Localization (4 papers) and Engineering Diagnostics and Reliability (3 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Mechanical Engineering (741 citations), Safety, Risk, Reliability and Quality (151 citations), Medical Laboratory Technology (22 citations) and Mechanics of Materials (362 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, Neurocomputing and Mechanical Systems and Signal Processing.

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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