Baoxuan Zhao

456 total citations · 1 hit paper
13 papers, 325 citations indexed

About

Baoxuan Zhao is a scholar working on Control and Systems Engineering, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Baoxuan Zhao has authored 13 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 7 papers in Civil and Structural Engineering and 5 papers in Mechanical Engineering. Recurrent topics in Baoxuan Zhao's work include Machine Fault Diagnosis Techniques (9 papers), Structural Health Monitoring Techniques (7 papers) and Iterative Learning Control Systems (2 papers). Baoxuan Zhao is often cited by papers focused on Machine Fault Diagnosis Techniques (9 papers), Structural Health Monitoring Techniques (7 papers) and Iterative Learning Control Systems (2 papers). Baoxuan Zhao collaborates with scholars based in China. Baoxuan Zhao's co-authors include Zhike Peng, Changming Cheng, Xingjian Dong, Guang Meng, Dong Wang, Qingbo He, Shiqian Chen, Lan Hu, Guanzhen Zhang and Hongping Zhou and has published in prestigious journals such as Journal of Sound and Vibration, Mechanical Systems and Signal Processing and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Baoxuan Zhao

12 papers receiving 318 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.

TFN: An interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis

2023 101 citations Xingjian Dong, Dong Wang et al. Mechanical Systems and Signal Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Baoxuan Zhao China	9	213	115	84	68	48	13	325
Xin Dong China	10	198 0.9×	166 1.4×	77 0.9×	58 0.9×	23 0.5×	22	353
Hongchun Sun China	12	196 0.9×	150 1.3×	32 0.4×	90 1.3×	36 0.8×	42	358
Kyumin Na South Korea	11	260 1.2×	189 1.6×	37 0.4×	62 0.9×	47 1.0×	13	347
Dongming Hou China	12	274 1.3×	215 1.9×	46 0.5×	110 1.6×	28 0.6×	19	398
Qiubo Jiang China	7	137 0.6×	120 1.0×	63 0.8×	56 0.8×	19 0.4×	14	263
Gui Gui China	8	235 1.1×	137 1.2×	33 0.4×	94 1.4×	26 0.5×	11	323
Zhongjun Yin China	7	219 1.0×	189 1.6×	35 0.4×	92 1.4×	24 0.5×	12	328
Qiuyang Zhou China	13	318 1.5×	222 1.9×	56 0.7×	92 1.4×	42 0.9×	24	399
Haizhou Huang China	7	239 1.1×	177 1.5×	23 0.3×	78 1.1×	43 0.9×	16	327
Zhen Shi China	10	305 1.4×	170 1.5×	25 0.3×	103 1.5×	68 1.4×	24	401

Countries citing papers authored by Baoxuan Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Baoxuan Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoxuan Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Baoxuan Zhao. A scholar is included among the top collaborators of Baoxuan Zhao 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 Baoxuan Zhao. Baoxuan Zhao 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:

13 of 13 papers shown

Cheng, Changming, et al.. (2023). Semisupervised Fault Diagnosis for Gearboxes: A Novel Method Based on a Hybrid Classification Network and Weighted Pseudo-Labeling. IEEE Sensors Journal. 23(14). 16373–16383. 6 indexed citations

Zhao, Baoxuan, et al.. (2023). Hybrid Semi-Supervised Learning for Rotating Machinery Fault Diagnosis Based on Grouped Pseudo Labeling and Consistency Regularization. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 16 indexed citations

Dong, Xingjian, et al.. (2023). TFN: An interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis. Mechanical Systems and Signal Processing. 207. 110952–110952. 101 indexed citations breakdown →

Cheng, Changming, et al.. (2022). Alternating state-parameter identification of Bouc-Wen hysteretic systems from steady-state harmonic response. Journal of Sound and Vibration. 538. 117242–117242. 10 indexed citations

Cheng, Changming, et al.. (2022). Identification of Bouc-Wen hysteretic systems based on a joint optimization approach. Mechanical Systems and Signal Processing. 180. 109404–109404. 20 indexed citations

Cheng, Changming, et al.. (2022). A two-stage sparse algorithm for localization and characterization of local nonlinear structures. Journal of Sound and Vibration. 526. 116823–116823. 8 indexed citations

Zhao, Baoxuan, et al.. (2022). An Instance and Feature-Based Hybrid Transfer Model for Fault Diagnosis of Rotating Machinery With Different Speeds. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 10 indexed citations

Cheng, Changming, et al.. (2022). Relation-Aware Attentive Neural Processes Model for Remaining Useful Life Prediction. IEEE Transactions on Instrumentation and Measurement. 71. 1–9. 1 indexed citations

Zhao, Baoxuan, et al.. (2021). An Interpretable Denoising Layer for Neural Networks Based on Reproducing Kernel Hilbert Space and its Application in Machine Fault Diagnosis. Chinese Journal of Mechanical Engineering. 34(1). 29 indexed citations

10.

Zhao, Baoxuan, Changming Cheng, Zhike Peng, Qingbo He, & Guang Meng. (2021). Hybrid Pre-Training Strategy for Deep Denoising Neural Networks and Its Application in Machine Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 14 indexed citations

11.

Dong, Xingjian, et al.. (2020). Iterative nonlinear chirp mode decomposition: A Hilbert-Huang transform-like method in capturing intra-wave modulations of nonlinear responses. Journal of Sound and Vibration. 485. 115571–115571. 26 indexed citations

12.

Zhao, Baoxuan, Changming Cheng, Zhike Peng, Xingjian Dong, & Guang Meng. (2020). Detecting the Early Damages in Structures With Nonlinear Output Frequency Response Functions and the CNN-LSTM Model. IEEE Transactions on Instrumentation and Measurement. 69(12). 9557–9567. 83 indexed citations

13.

Zhao, Baoxuan & Hongping Zhou. (2005). Nonlinear Classification of AVO Attributes Using SVM. AGUSM. 2005. 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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