Baoping Tang

9.5k total citations · 4 hit papers
209 papers, 7.7k citations indexed

About

Baoping Tang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Baoping Tang has authored 209 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 166 papers in Control and Systems Engineering, 99 papers in Mechanical Engineering and 46 papers in Mechanics of Materials. Recurrent topics in Baoping Tang's work include Machine Fault Diagnosis Techniques (148 papers), Gear and Bearing Dynamics Analysis (79 papers) and Fault Detection and Control Systems (48 papers). Baoping Tang is often cited by papers focused on Machine Fault Diagnosis Techniques (148 papers), Gear and Bearing Dynamics Analysis (79 papers) and Fault Detection and Control Systems (48 papers). Baoping Tang collaborates with scholars based in China, United States and Singapore. Baoping Tang's co-authors include Minghang Zhao, Lei Deng, Michael Pecht, Yi Qin, Xuyun Fu, Shisheng Zhong, Tengwei Song, Yi Wang, Kai Zhang and Wenyi Liu and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Chemical Engineering Journal and IEEE Transactions on Industrial Electronics.

In The Last Decade

Baoping Tang

198 papers receiving 7.5k 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 Residual Shrinkage Networks for Fault Diagnosis

2019 994 citations Baoping Tang et al. profile →
Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes

2017 312 citations Baoping Tang et al. profile →
Condition monitoring of wind turbines based on spatio-temporal fusion of SCADA data by convolutional neural networks and gated recurrent units

2019 193 citations Baoping Tang, Lei Deng et al. profile →
Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction

2021 171 citations Yi Qin, Baoping Tang et al. profile →

Peers

Countries citing papers authored by Baoping Tang

Since Specialization

Citations

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

Fields of papers citing papers by Baoping Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoping Tang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A cross-session non-stationary attention-based motor imagery classification method with critic-free domain adaptation 2024 ·Biomedical Signal Processing and Control ·(unknown), Yi Wang, Xin Zhang, Baoping Tang	1
2	Multi-objective optimal deep deconvolution and its application to early fault signal enhancement of rotating machineries 2024 ·Mechanical Systems and Signal Processing ·(unknown), Yi Wang, Yi Qin, Baoping Tang	7
3	A hybrid physics-corrected neural network for RUL prognosis under random missing data 2024 ·Expert Systems with Applications ·(unknown), Baoping Tang, Lei Deng, (unknown)	3
4	Simulation data-driven adaptive frequency filtering focal network for rolling bearing fault diagnosis 2024 ·Engineering Applications of Artificial Intelligence ·(unknown), Baoping Tang, Lei Deng, Qikang Li	6
5	Digital twin-enabled entropy regularized wavelet attention domain adaptation network for gearboxes fault diagnosis without fault data 2024 ·Advanced Engineering Informatics ·Peng Zhu, Lei Deng, Baoping Tang, (unknown), Qikang Li	18
6	WTFormer: RUL prediction method guided by trainable wavelet transform embedding and lagged penalty loss 2024 ·Advanced Engineering Informatics ·(unknown), Baoping Tang, Lei Deng, (unknown), (unknown)	5
7	Missing-Measurements-Tolerant Compressed Sensing in Wireless Sensor Networks for Mechanical Vibration Monitoring 2024 ·IEEE Transactions on Instrumentation and Measurement ·Chunhua Zhao, Baoping Tang, Lei Deng	4
8	Physics-informed deep filtering of ultrasonic guided waves for incipient defect inspection of large-scale square tube structures 2023 ·Journal of Sound and Vibration ·(unknown), Yi Wang, Xiang Wan, Baoping Tang, Yi Qin, Caibin Xu	6
9	Variational eligibility trace meta-reinforcement recurrent network for residual life prediction of space rolling bearings 2023 ·Applied Soft Computing ·Feng Li, (unknown), Ling Luo, Baoping Tang, Yongchao Wang	2
10	Correlation warping radius tracking for condition monitoring of rolling bearings under varying operating conditions 2023 ·Mechanical Systems and Signal Processing ·(unknown), Yi Wang, Guangyao Zhang, Baoping Tang, Yi Qin	5
11	An integrated network architecture for data repair and degradation trend prediction 2023 ·Mechanical Systems and Signal Processing ·(unknown), Baoping Tang, Shilong Yang, (unknown)	13
12	Deep time–frequency learning for interpretable weak signal enhancement of rotating machineries 2023 ·Engineering Applications of Artificial Intelligence ·(unknown), Yi Wang, Yi Qin, Baoping Tang	12
13	Health indicator based on signal probability distribution measures for machinery condition monitoring 2023 ·Mechanical Systems and Signal Processing ·Guangyao Zhang, Yi Wang, Xiaomeng Li, Yi Qin, Baoping Tang	32
14	Slope synchronous chirplet transform and its application to tacho-less order tracking of rotating machineries 2023 ·Mechanical Systems and Signal Processing ·(unknown), Yi Wang, Guangyao Zhang, Dongming Xiao, Yi Qin, Baoping Tang	20
15	Self-Attention Parallel Fusion Network for Wind Turbine Gearboxes Fault Diagnosis 2023 ·IEEE Sensors Journal ·(unknown), Baoping Tang, (unknown), Qikang Li	15
16	A novel fusion approach of deep convolution neural network with auto-encoder and its application in planetary gearbox fault diagnosis 2020 ·Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability ·Fafa Chen, Lili Liu, Baoping Tang, Baojia Chen, Wenrong Xiao, Fajun Zhang	13
17	Pattern recognition of a sensitive feature set based on the orthogonal neighborhood preserving embedding and adaboost_SVM algorithm for rolling bearing early fault diagnosis 2020 ·Measurement Science and Technology ·Fafa Chen, (unknown), Baoping Tang, Baojia Chen, Wenrong Xiao	41
18	Fault Diagnosis Model Based on Feature Compression with Orthogonal Locality Preserving Projection 2011 ·Chinese Journal of Mechanical Engineering ·Baoping Tang	9
19	Research on mechanical measurement-oriented intelligent virtual controls 2004 ·Chinese Journal of Mechanical Engineering ·Baoping Tang	1
20	Research of problems on realizing direct algorithm of wavelet transform 2003 ·Chinese Journal of Mechanical Engineering ·Baoping Tang	1

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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