Ruxue Bai

676 total citations · 1 hit paper
14 papers, 523 citations indexed

About

Ruxue Bai is a scholar working on Mechanical Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Ruxue Bai has authored 14 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Mechanical Engineering, 4 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Ruxue Bai's work include Machine Fault Diagnosis Techniques (4 papers), Gear and Bearing Dynamics Analysis (3 papers) and Machine Learning and ELM (2 papers). Ruxue Bai is often cited by papers focused on Machine Fault Diagnosis Techniques (4 papers), Gear and Bearing Dynamics Analysis (3 papers) and Machine Learning and ELM (2 papers). Ruxue Bai collaborates with scholars based in China, France and Germany. Ruxue Bai's co-authors include Zong Meng, Ying Zhang, Dengyun Sun, Quansheng Xu, Fengjie Fan, Lixiao Cao, Chengyong Cao, Mingfeng Lei, Limin Peng and Chenghua Shi and has published in prestigious journals such as Expert Systems with Applications, Reliability Engineering & System Safety and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Ruxue Bai

14 papers receiving 499 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.

An enhanced convolutional neural network for bearing fault diagnosis based on time–frequency image

2020 215 citations Ying Zhang, Ruxue Bai et al. Measurement profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruxue Bai China	8	352	252	139	61	58	14	523
Qiuhua Miao China	8	367 1.0×	259 1.0×	132 0.9×	40 0.7×	78 1.3×	19	577
Hongbo Ma China	13	333 0.9×	229 0.9×	123 0.9×	57 0.9×	65 1.1×	38	495
Zhenling Mo China	13	507 1.4×	327 1.3×	166 1.2×	47 0.8×	71 1.2×	26	637
Zhuang Ye China	11	327 0.9×	182 0.7×	91 0.7×	33 0.5×	58 1.0×	17	490
Alessandro Paolo Daga Italy	9	402 1.1×	217 0.9×	113 0.8×	124 2.0×	50 0.9×	23	499
Xiaolong Zhang China	9	343 1.0×	233 0.9×	85 0.6×	124 2.0×	40 0.7×	23	497
Chemseddine Rahmoune Algeria	14	427 1.2×	332 1.3×	180 1.3×	37 0.6×	33 0.6×	41	553
Piyush Shakya India	11	352 1.0×	323 1.3×	140 1.0×	49 0.8×	29 0.5×	28	497
Biliang Lu China	11	368 1.0×	194 0.8×	103 0.7×	29 0.5×	104 1.8×	18	473

Countries citing papers authored by Ruxue Bai

Since Specialization

Citations

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

Fields of papers citing papers by Ruxue Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruxue Bai

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

All Works

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14 of 14 papers shown

Bai, Ruxue, et al.. (2024). Low‐profile frequency selective surface with quasi‐elliptical bandpass response using antenna‐filter‐antenna approach. Microwave and Optical Technology Letters. 66(5). 1 indexed citations

Bai, Ruxue, et al.. (2024). Day-ahead photovoltaic power generation forecasting with the HWGC-WPD-LSTM hybrid model assisted by wavelet packet decomposition and improved similar day method. Engineering Science and Technology an International Journal. 61. 101889–101889. 4 indexed citations

Bai, Ruxue, et al.. (2024). A Test Report Optimization Method Fusing Reinforcement Learning and Genetic Algorithms. Electronics. 13(21). 4281–4281. 1 indexed citations

Meng, Zong, Ruxue Bai, Quansheng Xu, Jimeng Li, & Fengjie Fan. (2023). Fractional Fourier Domain Feature Fusion Combining Multichannel Targeting Extreme Learning Machine for Bearing Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 7 indexed citations

Bai, Ruxue, et al.. (2023). Hybrid model based on K-means++ algorithm, optimal similar day approach, and long short-term memory neural network for short-term photovoltaic power prediction. Global Energy Interconnection. 6(2). 184–196. 26 indexed citations

Dong, Hui, et al.. (2023). Enhanced corrosion resistance of high speed laser-cladded Ni/316L alloy coating by heat treatment. Journal of Materials Research and Technology. 24. 952–962. 31 indexed citations

Bai, Ruxue, Zong Meng, Quansheng Xu, & Fengjie Fan. (2022). Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions. Reliability Engineering & System Safety. 232. 109076–109076. 78 indexed citations

Liu, Hongyan, et al.. (2022). A brain-inspired computational model for extremely few reference image quality assessment. Displays. 76. 102331–102331. 7 indexed citations

Xu, Quansheng, et al.. (2022). Integration of deep adaptation transfer learning and online sequential extreme learning machine for cross-person and cross-position activity recognition. Expert Systems with Applications. 212. 118807–118807. 16 indexed citations

10.

Zhang, Lizhen, Ruxue Bai, Haifeng Lin, et al.. (2022). Disordered Yb:GdYCOB crystal: polarized spectroscopy, thermal lensing and diode-pumped lasers. 43–43. 1 indexed citations

11.

Wang, Xuedong, et al.. (2021). Analysis of the Influence of Boiler Parameters on the Flue Gas Recirculation Rate of the Second Reheat Unit. 2021 IEEE Sustainable Power and Energy Conference (iSPEC). 1. 2225–2230. 1 indexed citations

12.

Bai, Ruxue, et al.. (2021). Rolling bearing fault diagnosis based on multi-channel convolution neural network and multi-scale clipping fusion data augmentation. Measurement. 184. 109885–109885. 94 indexed citations

13.

Zhang, Ying, et al.. (2020). An enhanced convolutional neural network for bearing fault diagnosis based on time–frequency image. Measurement. 157. 107667–107667. 215 indexed citations breakdown →

14.

Cao, Chengyong, Chenghua Shi, Mingfeng Lei, Limin Peng, & Ruxue Bai. (2017). Deformation Characteristics and Countermeasures of shallow and Large-span Tunnel Under-crossing the Existing Highway in Soft Soil: a Case Study. KSCE Journal of Civil Engineering. 22(8). 3170–3181. 41 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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