Yun Lu

567 total citations
40 papers, 381 citations indexed

About

Yun Lu is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yun Lu has authored 40 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 8 papers in Signal Processing and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yun Lu's work include EEG and Brain-Computer Interfaces (13 papers), Remote-Sensing Image Classification (6 papers) and Emotion and Mood Recognition (5 papers). Yun Lu is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Remote-Sensing Image Classification (6 papers) and Emotion and Mood Recognition (5 papers). Yun Lu collaborates with scholars based in China, Pakistan and United States. Yun Lu's co-authors include Mingjiang Wang, Qiquan Zhang, Kang Sun, Xiurui Geng, Luyan Ji, Yufei Han, Shixiong Chen, Wanqing Wu, Ebru K. Bish and Kimberly P. Ellis and has published in prestigious journals such as IEEE Access, International Journal of Remote Sensing and Physics in Medicine and Biology.

In The Last Decade

Yun Lu

37 papers receiving 363 citations

Peers

Yun Lu
Mousa Shamsi Iran
Ramchandra Manthalkar India
Alaa Eleyan Türkiye
Yun Tie China
Yi Xia China
Kyungim Baek United States
Yaxin Sun China
Rui Min United States
Mousa Shamsi Iran
Yun Lu
Citations per year, relative to Yun Lu Yun Lu (= 1×) peers Mousa Shamsi

Countries citing papers authored by Yun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Lu. A scholar is included among the top collaborators of Yun 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 Yun Lu. Yun 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, Yun, et al.. (2024). Auditory-GAN: deep learning framework for improved auditory spatial attention detection. PeerJ Computer Science. 10. e2394–e2394.
2.
An, Quntao, et al.. (2024). Review of Key Technologies of the High-Speed Permanent Magnet Motor Drive. Energies. 17(21). 5252–5252. 1 indexed citations
3.
Lu, Yun, et al.. (2023). Saliency-Based Semantic Weeds Detection and Classification Using UAV Multispectral Imaging. IEEE Access. 11. 11991–12003. 12 indexed citations
4.
Lu, Yun, et al.. (2023). Pilot study of contactless sleep apnea detection based on snore signals with hardware implementation. Physiological Measurement. 44(8). 85003–85003.
5.
Lu, Yun, et al.. (2023). A new network representation for time series analysis from the perspective of combinatorial property of ordinal patterns. Heliyon. 9(11). e22455–e22455. 3 indexed citations
6.
Chen, Xiuhong, et al.. (2023). Non‐negative low‐rank adaptive preserving sparse matrix regression model for supervised image feature selection and classification. IET Image Processing. 17(7). 2056–2071. 1 indexed citations
7.
Lu, Yun, et al.. (2023). Breast Cancer Diagnosis Using Lightweight Deep Convolution Neural Network Model. IEEE Access. 11. 124869–124886. 6 indexed citations
8.
Yang, Jing, Lei Xu, Pengfei Yang, et al.. (2021). Generalized methodology for radiomic feature selection and modeling in predicting clinical outcomes. Physics in Medicine and Biology. 66(21). 215005–215005. 6 indexed citations
9.
Chen, Xiuhong, Yun Lu, Jun Zhang, & Xingyu Zhu. (2021). Margin-based discriminant embedding guided sparse matrix regression for image supervised feature selection. Computer Vision and Image Understanding. 212. 103273–103273. 3 indexed citations
10.
Lu, Yun, et al.. (2021). Deep Learning Strategy for Braille Character Recognition. IEEE Access. 9. 169357–169371. 17 indexed citations
11.
Lu, Yun, Mingjiang Wang, Wanqing Wu, et al.. (2020). Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals. Complexity. 2020. 1–17. 8 indexed citations
12.
Chen, Xiuhong & Yun Lu. (2020). Robust graph regularised sparse matrix regression for two‐dimensional supervised feature selection. IET Image Processing. 14(9). 1740–1749. 4 indexed citations
13.
Wang, Xin, Mingxing Zhu, Oluwarotimi Williams Samuel, et al.. (2020). The Effects of Random Stimulation Rate on Measurements of Auditory Brainstem Response. Frontiers in Human Neuroscience. 14. 78–78. 7 indexed citations
14.
Lu, Yun & Xiuhong Chen. (2020). Joint feature weighting and adaptive graph-based matrix regression for image supervised feature Selection. Signal Processing Image Communication. 90. 116044–116044. 1 indexed citations
15.
Lu, Yun, Mingjiang Wang, Wanqing Wu, et al.. (2019). Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals. Measurement. 150. 107003–107003. 58 indexed citations
16.
Zhang, Qiquan, et al.. (2019). A novel fast nonstationary noise tracking approach based on MMSE spectral power estimator. Digital Signal Processing. 88. 41–52. 23 indexed citations
17.
Han, Yufei, Mingjiang Wang, & Yun Lu. (2018). Variable Tap-Length Algorithm with Mixed Parameter. Applied Sciences. 8(6). 939–939. 1 indexed citations
18.
Lu, Yun, Mingjiang Wang, Qiquan Zhang, & Yufei Han. (2018). Identification of Auditory Object-Specific Attention from Single-Trial Electroencephalogram Signals via Entropy Measures and Machine Learning. Entropy. 20(5). 386–386. 11 indexed citations
19.
Jiang, Pingping, et al.. (2006). A new catalytic transesterification for the synthesis of N, N-dimethylaminoethyl acrylate with organotin catalyst. Catalysis Letters. 110(1-2). 101–106. 11 indexed citations
20.
Ellis, Kimberly P., Yun Lu, & Ebru K. Bish. (2004). Scheduling of wafer test processes in semiconductor manufacturing. International Journal of Production Research. 42(2). 215–242. 25 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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2026