Na Lü

4.4k total citations · 2 hit papers
97 papers, 3.5k citations indexed

About

Na Lü is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Na Lü has authored 97 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 23 papers in Control and Systems Engineering and 17 papers in Artificial Intelligence. Recurrent topics in Na Lü's work include Machine Fault Diagnosis Techniques (12 papers), EEG and Brain-Computer Interfaces (12 papers) and Video Surveillance and Tracking Methods (11 papers). Na Lü is often cited by papers focused on Machine Fault Diagnosis Techniques (12 papers), EEG and Brain-Computer Interfaces (12 papers) and Video Surveillance and Tracking Methods (11 papers). Na Lü collaborates with scholars based in China, United States and Hong Kong. Na Lü's co-authors include Yaguo Lei, Feng Jia, Jing Lin, Xin Zhou, Saibo Xing, Jinbo Song, Feng Li, Shuhui Wang, Tao Yin and Bin Yang and has published in prestigious journals such as Neuron, IEEE Transactions on Pattern Analysis and Machine Intelligence and Brain Research.

In The Last Decade

Na Lü

87 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

2015 1.4k citations Yaguo Lei, Na Lü et al. profile →
Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization

2018 498 citations Yaguo Lei, Na Lü et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Na Lü China	21	2.0k	1.3k	760	618	370	97	3.5k
Zhi-Xin Yang Macao	32	1.7k 0.8×	937 0.7×	488 0.6×	638 1.0×	351 0.9×	203	3.6k
Siyu Shao China	15	2.7k 1.3×	1.5k 1.2×	861 1.1×	611 1.0×	199 0.5×	27	3.6k
K.I. Ramachandran India	31	1.7k 0.9×	1.5k 1.2×	564 0.7×	422 0.7×	384 1.0×	110	3.9k
Xiaoan Yan China	36	3.0k 1.5×	1.9k 1.5×	1.1k 1.4×	502 0.8×	211 0.6×	94	4.0k
Anil Kumar China	32	2.1k 1.0×	1.6k 1.3×	697 0.9×	378 0.6×	143 0.4×	118	3.1k
Achmad Widodo Indonesia	20	2.2k 1.1×	1.2k 1.0×	676 0.9×	390 0.6×	107 0.3×	106	3.4k
Long Wen China	25	3.2k 1.6×	1.8k 1.4×	951 1.3×	986 1.6×	347 0.9×	78	4.9k
Tianfu Li China	23	2.0k 1.0×	877 0.7×	578 0.8×	802 1.3×	115 0.3×	56	3.3k
Clarence W. de Silva Canada	32	2.1k 1.0×	1.3k 1.0×	493 0.6×	731 1.2×	548 1.5×	214	4.6k

Countries citing papers authored by Na Lü

Since Specialization

Citations

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

Fields of papers citing papers by Na Lü

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Na Lü. A scholar is included among the top collaborators of Na Lü 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 Na Lü. Na Lü is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lü, Na, et al.. (2025). A Fine-grained Hemispheric Asymmetry Network for accurate and interpretable EEG-based emotion classification. Neural Networks. 184. 107127–107127.

Lü, Na, et al.. (2025). Multiple attention relation network for few-shot learning. Applied Soft Computing. 181. 113477–113477.

Lü, Na, et al.. (2024). A time-frequency map generation network embedded with spectral self-attention for motor imagery classification. Biomedical Signal Processing and Control. 93. 106206–106206. 4 indexed citations

Lü, Na, et al.. (2024). Inverse Transfer Network With Frontier Point Restoration for EEG Transfer Classification. IEEE Transactions on Industrial Informatics. 20(12). 14104–14113. 1 indexed citations

Wang, Shuhui, Yaguo Lei, Na Lü, et al.. (2024). Graph Continual Learning Network: An Incremental Intelligent Diagnosis Method of Machines for New Fault Detection. IEEE Transactions on Automation Science and Engineering. 23. 3214–3224. 20 indexed citations

Lü, Na, et al.. (2023). Self-supervised clustering with assistance from off-the-shelf classifier. Pattern Recognition. 138. 109350–109350. 6 indexed citations

Zhang, Fuli, Qiusheng Wang, Na Lü, et al.. (2023). Applying a novel two-step deep learning network to improve the automatic delineation of esophagus in non-small cell lung cancer radiotherapy. Frontiers in Oncology. 13. 1174530–1174530. 2 indexed citations

Lü, Na, et al.. (2023). Soft Sensor Modeling Method for the Marine Lysozyme Fermentation Process Based on ISOA-GPR Weighted Ensemble Learning. Sensors. 23(22). 9119–9119. 4 indexed citations

Lü, Na, Diandian Chen, Yanjun Yu, et al.. (2022). Automatic delineation of organs at risk in non-small cell lung cancer radiotherapy based on deep learning networks*. Oncology and Translational Medicine. 8(2). 83–88. 1 indexed citations

10.

Zhang, Qi, Yu Tian, Tianshu Zhou, et al.. (2021). Method of Tumor Pathological Micronecrosis Quantification Via Deep Learning From Label Fuzzy Proportions. IEEE Journal of Biomedical and Health Informatics. 25(9). 3288–3299. 7 indexed citations

11.

Lü, Na, et al.. (2021). Knowledge-driven feature component interpretable network for motor imagery classification. Journal of Neural Engineering. 19(1). 16032–16032. 10 indexed citations

12.

Lü, Na, Kewei Chen, Yao Li, et al.. (2020). Predicting Brain Age of Healthy Adults Based on Structural MRI Parcellation Using Convolutional Neural Networks. Frontiers in Neurology. 10. 1346–1346. 60 indexed citations

13.

Wang, Yadi, et al.. (2016). Margins of planning target volume in cervix cancer with tomotherapy. Zhonghua fangshe yixue yu fanghu zazhi. 36(3). 216–219. 1 indexed citations

14.

Li, Mengnan, Yu Li, Lei Meng, et al.. (2016). Application of key internet of thing technologies in facility agriculture.. Shipin anquan zhiliang jiance xuebao. 7(11). 4401–4407. 1 indexed citations

15.

Lü, Na. (2012). Development of ECU Monitoring Program Based on Serial Communication. Machine Tool & Hydraulics.

16.

Lü, Na. (2011). Embedded Asynchronous Motor Monitoring System Based on ARM and Linux. Yibiao jishu yu chuanganqi.

17.

Lü, Na. (2008). A New Hybrid Clustering Method Based on the Artificial Immune Theory. Techniques of Automation and Applications. 1 indexed citations

18.

Dang, Xueya, et al.. (2008). Distribution characteristics of burnt metamorphic rocks in the Northern Shaanxi Energy and Chemical Industry Base, China and their hydrogeological significance. Dizhi tongbao. 27(8). 1168–1172. 2 indexed citations

19.

Lü, Na. (2006). A Vendor-Managed Inventory Model with Linear Time Varying Demand and Partial Backlogging. Systems Engineering - Theory & Practice. 2 indexed citations

20.

Lü, Na, et al.. (2005). Strategic Decision Model of Green Supply Chain Management. Journal of Chongqing University. English Edition. 105–109. 1 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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