Lujuan Dang

883 total citations
26 papers, 600 citations indexed

About

Lujuan Dang is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Lujuan Dang has authored 26 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Signal Processing, 13 papers in Computational Mechanics and 10 papers in Artificial Intelligence. Recurrent topics in Lujuan Dang's work include Advanced Adaptive Filtering Techniques (13 papers), Speech and Audio Processing (9 papers) and Blind Source Separation Techniques (9 papers). Lujuan Dang is often cited by papers focused on Advanced Adaptive Filtering Techniques (13 papers), Speech and Audio Processing (9 papers) and Blind Source Separation Techniques (9 papers). Lujuan Dang collaborates with scholars based in China, Hong Kong and South Korea. Lujuan Dang's co-authors include Badong Chen, Shiyuan Wang, José C. Prı́ncipe, Yuantao Gu, Nanning Zheng, Wentao Ma, Pengju Ren, Chi K. Tse, Yonggang Zhang and Yulong Huang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Wireless Communications and Neurocomputing.

In The Last Decade

Lujuan Dang

23 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lujuan Dang China 13 271 248 200 132 129 26 600
Jun-Seok Lim South Korea 8 90 0.3× 108 0.4× 113 0.6× 51 0.4× 132 1.0× 54 342
Habti Abeida Saudi Arabia 16 63 0.2× 121 0.5× 589 2.9× 143 1.1× 371 2.9× 39 944
Dandan Meng China 10 106 0.4× 49 0.2× 153 0.8× 172 1.3× 108 0.8× 22 482
Tiantian Liu China 9 66 0.2× 205 0.8× 86 0.4× 80 0.6× 65 0.5× 20 525
Soo Hee Han South Korea 11 201 0.7× 70 0.3× 33 0.2× 413 3.1× 177 1.4× 26 718
Roberto Diversi Italy 15 108 0.4× 111 0.4× 128 0.6× 480 3.6× 88 0.7× 80 749
Ya Zhang China 15 205 0.8× 51 0.2× 29 0.1× 51 0.4× 213 1.7× 58 602
Biqiang Mu China 15 129 0.5× 88 0.4× 32 0.2× 473 3.6× 179 1.4× 57 735
Kehu Yang China 19 187 0.7× 125 0.5× 246 1.2× 331 2.5× 1.2k 9.1× 93 1.4k
Carsten Fritsche Sweden 14 319 1.2× 42 0.2× 99 0.5× 73 0.6× 512 4.0× 60 745

Countries citing papers authored by Lujuan Dang

Since Specialization
Citations

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

Fields of papers citing papers by Lujuan Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lujuan Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Lujuan Dang. A scholar is included among the top collaborators of Lujuan Dang 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 Lujuan Dang. Lujuan Dang 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.
Li, Yanfen, Lujuan Dang, Hanxiang Wang, et al.. (2025). Transformer-based detection of abnormal rice growth using drone-based multispectral imaging. Computers and Electronics in Agriculture. 239. 111055–111055.
2.
Xie, Yuqing, Lujuan Dang, & Badong Chen. (2025). Multi-period interaction networks for time series forecasting. Pattern Recognition Letters. 198. 29–35.
3.
Piran, Md. Jalil, Samee U. Khan, Muhammad Attique Khan, et al.. (2025). Vision-based fire management system using autonomous unmanned aerial vehicles: a comprehensive survey. Artificial Intelligence Review. 59(1).
4.
Dang, Lujuan, Shibo Jin, Wentao Ma, & Badong Chen. (2024). Maximum Correntropy Generalized Conversion-Based Nonlinear Filtering. IEEE Sensors Journal. 24(22). 37300–37310. 2 indexed citations
5.
Ma, Wentao, et al.. (2023). Enhanced square root CKF with mixture correntropy loss for robust state of charge estimation of lithium-ion battery. Journal of Energy Storage. 73. 108920–108920. 9 indexed citations
6.
Chen, Badong, Lujuan Dang, Nanning Zheng, & José C. Prı́ncipe. (2023). Kalman Filtering Under Information Theoretic Criteria. 8 indexed citations
7.
Dang, Lujuan, Yulong Huang, Yonggang Zhang, & Badong Chen. (2022). Multi-kernel correntropy based extended Kalman filtering for state-of-charge estimation. ISA Transactions. 129(Pt B). 271–283. 18 indexed citations
8.
Dang, Lujuan, et al.. (2022). Smooth Deep Reinforcement Learning for Power Control for Spectrum Sharing in Cognitive Radios. IEEE Transactions on Wireless Communications. 21(12). 10621–10632. 3 indexed citations
9.
Dang, Lujuan, et al.. (2022). Square Root Unscented Kalman Filter With Modified Measurement for Dynamic State Estimation of Power Systems. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 26 indexed citations
10.
Dang, Lujuan, Badong Chen, Yili Xia, Jian Lan, & Meiqin Liu. (2022). Dual Extended Kalman Filter Under Minimum Error Entropy With Fiducial Points. IEEE Transactions on Systems Man and Cybernetics Systems. 52(12). 7588–7599. 12 indexed citations
11.
Saravanan, M., et al.. (2022). Intelligent Satin Bowerbird Optimizer Based Compression Technique for Remote Sensing Images. Computers, materials & continua/Computers, materials & continua (Print). 72(2). 2683–2696. 22 indexed citations
12.
Li, Jianxing, et al.. (2021). Fixed-Point Minimum Error Entropy With Sparsity Penalty Constraints. IEEE Transactions on Circuits & Systems II Express Briefs. 68(8). 2997–3001. 2 indexed citations
13.
Dang, Lujuan, Badong Chen, Yulong Huang, Yonggang Zhang, & Haiquan Zhao. (2021). Cubature Kalman Filter Under Minimum Error Entropy With Fiducial Points for INS/GPS Integration. IEEE/CAA Journal of Automatica Sinica. 9(3). 450–465. 44 indexed citations
14.
Dang, Lujuan, Badong Chen, Shiyuan Wang, Wentao Ma, & Pengju Ren. (2020). Robust Power System State Estimation With Minimum Error Entropy Unscented Kalman Filter. IEEE Transactions on Instrumentation and Measurement. 69(11). 8797–8808. 96 indexed citations
15.
Chen, Badong, Lujuan Dang, Yuantao Gu, Nanning Zheng, & José C. Prı́ncipe. (2019). Minimum Error Entropy Kalman Filter. IEEE Transactions on Systems Man and Cybernetics Systems. 51(9). 5819–5829. 170 indexed citations
16.
Dang, Lujuan, Badong Chen, Shiyuan Wang, Yuantao Gu, & José C. Prı́ncipe. (2019). Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion. IEEE Transactions on Circuits and Systems I Regular Papers. 66(11). 4265–4277. 49 indexed citations
17.
Wang, Shiyuan, Lujuan Dang, Badong Chen, et al.. (2018). Random Fourier Filters Under Maximum Correntropy Criterion. IEEE Transactions on Circuits and Systems I Regular Papers. 65(10). 3390–3403. 59 indexed citations
18.
Wang, Shiyuan, et al.. (2018). Kernel recursive maximum correntropy with Nyström approximation. Neurocomputing. 329. 424–432. 15 indexed citations
19.
20.
Wang, Shiyuan, et al.. (2017). Kernel Online Learning Algorithm With Scale Adaptation. IEEE Transactions on Circuits & Systems II Express Briefs. 65(11). 1788–1792. 7 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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