Weining Lu

2.5k total citations · 2 hit papers
33 papers, 1.8k citations indexed

About

Weining Lu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Weining Lu has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 12 papers in Computer Vision and Pattern Recognition and 10 papers in Mechanical Engineering. Recurrent topics in Weining Lu's work include Machine Fault Diagnosis Techniques (13 papers), Fault Detection and Control Systems (6 papers) and Robotic Path Planning Algorithms (5 papers). Weining Lu is often cited by papers focused on Machine Fault Diagnosis Techniques (13 papers), Fault Detection and Control Systems (6 papers) and Robotic Path Planning Algorithms (5 papers). Weining Lu collaborates with scholars based in China, United States and Hong Kong. Weining Lu's co-authors include Bin Liang, Jun Yang, Tao Zhang, Deshan Meng, Yu Cheng, Xueqian Wang, Duo Wang, Ming Zhang, Bin Liang and Yuchun Xu and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Weining Lu

32 papers receiving 1.7k citations

Hit Papers

Deep Model Based Domain Adaptation for Fault Diagnosis 2016 2026 2019 2022 2016 2021 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Weining Lu China 15 1.3k 721 402 355 148 33 1.8k
Tongyang Pan China 22 1.4k 1.1× 703 1.0× 432 1.1× 370 1.0× 116 0.8× 49 1.8k
Govind Vashishtha India 26 976 0.8× 772 1.1× 324 0.8× 305 0.9× 79 0.5× 83 1.7k
Yixiao Liao China 13 1.5k 1.1× 854 1.2× 419 1.0× 458 1.3× 74 0.5× 19 1.9k
Jipu Li China 20 1.9k 1.4× 1.0k 1.4× 634 1.6× 574 1.6× 98 0.7× 53 2.4k
Haixin Lv China 15 993 0.8× 486 0.7× 404 1.0× 277 0.8× 62 0.4× 19 1.3k
Liuyang Song China 23 1.7k 1.3× 1.0k 1.4× 208 0.5× 549 1.5× 79 0.5× 75 2.1k
Jianbin Xiong China 21 936 0.7× 490 0.7× 241 0.6× 316 0.9× 60 0.4× 74 1.5k
Zitong Zhou China 29 1.8k 1.4× 1.1k 1.5× 501 1.2× 505 1.4× 93 0.6× 74 2.4k
Shen Yan China 12 1.2k 0.9× 532 0.7× 369 0.9× 360 1.0× 47 0.3× 21 1.5k

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-authorship network of co-authors of Weining Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Weining Lu. A scholar is included among the top collaborators of Weining Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weining Lu. Weining Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lu, Weining, et al.. (2025). Collaborative Navigation of Multiple Autonomous Mobile Robots via Geometric Graph Neural Network. IEEE Transactions on Industrial Electronics. 72(12). 13617–13626. 1 indexed citations
2.
Lu, Weining, et al.. (2024). Multiscale simulation combined with experimental investigation on residual stress and microstructure of TC6 titanium alloy treated by laser shock peening. Materials Today Communications. 40. 109484–109484. 5 indexed citations
3.
Lu, Weining, et al.. (2024). Study on crystal to amorphous transition of nickel-based alloy processed by ultra-short pulsed laser shock peening. Materials Letters. 366. 136554–136554. 1 indexed citations
5.
Lu, Weining, et al.. (2024). Molecular dynamics simulation of microstructural evolution and mechanical behavior of titanium alloy subjected to laser shock peening. Optics & Laser Technology. 175. 110748–110748. 19 indexed citations
6.
Gao, Yan, Shuang Ye, Yu Cheng, et al.. (2024). Outlier detection in temporal and spatial sequences via correlation analysis based on graph neural networks. Displays. 84. 102775–102775. 3 indexed citations
7.
Liu, Daizong, Xiaoye Qu, Jianfeng Dong, et al.. (2023). Transform-Equivariant Consistency Learning for Temporal Sentence Grounding. ACM Transactions on Multimedia Computing Communications and Applications. 20(4). 1–19. 4 indexed citations
8.
Fang, Xiang, et al.. (2023). Hypotheses Tree Building for One-Shot Temporal Sentence Localization. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1640–1648. 12 indexed citations
9.
Lu, Weining, et al.. (2022). Cooperative Path Planning of Multi-Agent Based on Graph Neural Network. 2022 34th Chinese Control and Decision Conference (CCDC). 5620–5624. 1 indexed citations
10.
Lu, Weining, et al.. (2022). Cooperative planning of multi-agent systems based on task-oriented knowledge fusion with graph neural networks. Frontiers of Information Technology & Electronic Engineering. 23(7). 1069–1076. 5 indexed citations
11.
Lu, Weining, et al.. (2020). Deep Model-Based Semi-Supervised Learning Way for Outlier Detection in Wireless Capsule Endoscopy Images. IEEE Access. 8. 81621–81632. 11 indexed citations
12.
Zhang, Ming, Duo Wang, Weining Lu, et al.. (2019). A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions. IEEE Access. 7. 65303–65318. 115 indexed citations
13.
Zhang, Ming, Weining Lu, Jun Yang, Duo Wang, & Bin Liang. (2019). Domain Adaptation with Multilayer Adversarial Learning for Fault Diagnosis of Gearbox under Multiple Operating Conditions. 1–6. 7 indexed citations
15.
Liang, Bin, et al.. (2017). Remaining useful life prediction of aircraft engine based on degradation pattern learning. Reliability Engineering & System Safety. 164. 74–83. 215 indexed citations
16.
Zhai, Shuangfei, Yu Cheng, Weining Lu, & Zhongfei Mark Zhang. (2016). Doubly Convolutional Neural Networks. arXiv (Cornell University). 29. 1090–1098. 21 indexed citations
17.
Lu, Weining, et al.. (2015). A formation control approach with autonomous navigation of multi-robot system in unknown environment. 2005. 5230–5234. 2 indexed citations
18.
Lu, Weining, et al.. (2015). A novel feature extraction method using deep neural network for rolling bearing fault diagnosis. 2427–2431. 38 indexed citations
20.
Zhang, Tao, et al.. (2015). Bearing fault diagnosis method based on stacked autoencoder and softmax regression. 6331–6335. 85 indexed citations

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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