Xiaohui Gu

794 total citations
37 papers, 595 citations indexed

About

Xiaohui Gu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Xiaohui Gu has authored 37 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Control and Systems Engineering, 27 papers in Mechanical Engineering and 11 papers in Mechanics of Materials. Recurrent topics in Xiaohui Gu's work include Machine Fault Diagnosis Techniques (25 papers), Gear and Bearing Dynamics Analysis (24 papers) and Fault Detection and Control Systems (7 papers). Xiaohui Gu is often cited by papers focused on Machine Fault Diagnosis Techniques (25 papers), Gear and Bearing Dynamics Analysis (24 papers) and Fault Detection and Control Systems (7 papers). Xiaohui Gu collaborates with scholars based in China, Germany and Malaysia. Xiaohui Gu's co-authors include Shaopu Yang, Yongqiang Liu, Rujiang Hao, Qiang Li, Jing Zhao, Zechao Liu, Shaohua Li, Jianhui Lin, Chenhui Li and Huifang Shi and has published in prestigious journals such as IEEE Access, Sensors and AIAA Journal.

In The Last Decade

Xiaohui Gu

33 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaohui Gu China	14	480	368	174	60	48	37	595
Rujiang Hao China	16	543 1.1×	418 1.1×	166 1.0×	108 1.8×	47 1.0×	44	659
Khandaker Noman China	16	446 0.9×	224 0.6×	138 0.8×	69 1.1×	81 1.7×	52	590
Yi Zang China	5	485 1.0×	291 0.8×	162 0.9×	45 0.8×	47 1.0×	9	562
Huibin Lin China	11	436 0.9×	347 0.9×	115 0.7×	121 2.0×	40 0.8×	20	564
Yuna Pan China	7	431 0.9×	280 0.8×	146 0.8×	69 1.1×	35 0.7×	9	555
Lixiao Cao China	14	440 0.9×	243 0.7×	129 0.7×	38 0.6×	83 1.7×	23	550
Bingchang Hou China	17	621 1.3×	391 1.1×	172 1.0×	146 2.4×	45 0.9×	36	748
Chemseddine Rahmoune Algeria	14	427 0.9×	332 0.9×	180 1.0×	37 0.6×	33 0.7×	41	553
Akhand Rai India	7	813 1.7×	624 1.7×	305 1.8×	89 1.5×	44 0.9×	15	948

Countries citing papers authored by Xiaohui Gu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohui Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohui Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Gu. A scholar is included among the top collaborators of Xiaohui Gu 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 Xiaohui Gu. Xiaohui Gu 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

Gu, Xiaohui, Shaopu Yang, Pengfei Liu, Zechao Liu, & Yongqiang Liu. (2025). Adaptive maximum statistical complexity deconvolution and its application for train axle box bearing fault diagnosis. Mechanical Systems and Signal Processing. 230. 112596–112596. 3 indexed citations

Wei, Yuan, et al.. (2025). You can be more trustworthy: A feature fusion reinforcement network for credible anti-noise fault diagnosis. Advanced Engineering Informatics. 64. 103056–103056. 1 indexed citations

Gu, Xiaohui, et al.. (2025). ENAS–SCMNet: A novel efficient neural architecture search–driven blind deconvolution network based on statistical complexity measure for railway bearing fault diagnosis. Engineering Failure Analysis. 185. 110401–110401.

Huang, Z., et al.. (2025). An inception transformer-based weighted prototype network for few-shot defect recognition of wheelset bearing. Journal of Computational Design and Engineering. 12(3). 36–50.

Zhang, Haopeng, et al.. (2024). Dynamic Behavior of Twin-Spool Rotor-Bearing System with Pedestal Looseness and Rub Impact. Applied Sciences. 14(3). 1181–1181. 5 indexed citations

Gu, Xiaohui, et al.. (2024). Effect of relative phase of loose tie rods on nonlinear dynamic behavior of rod-fastening rotor-bearing-seal system. International Journal of Non-Linear Mechanics. 167. 104888–104888. 1 indexed citations

Wei, Yuan, et al.. (2024). A bearing fault data augmentation method based on hybrid-diversity loss diffusion model and parameter transfer. Reliability Engineering & System Safety. 253. 110567–110567. 15 indexed citations

Chuah, Joon Huang, et al.. (2024). Unsupervised Feature-Preserving CycleGAN for Fault Diagnosis of Rolling Bearings Using Unbalanced Infrared Thermal Imaging Sample. IEEE Access. 12. 28449–28461. 5 indexed citations

Shi, Huifang, Yonghao Miao, Chenhui Li, & Xiaohui Gu. (2024). A novel bearing intelligent fault diagnosis method based on spectrum sparse deep deconvolution. Engineering Applications of Artificial Intelligence. 133. 108102–108102. 45 indexed citations

10.

Yang, Shaopu, et al.. (2024). Rolling element bearing fault diagnosis based on multi-objective optimized deep auto-encoder. Measurement Science and Technology. 35(9). 96007–96007. 7 indexed citations

11.

Lu, Kuan, Dong Guo, Weidong Zhu, et al.. (2023). Nonlinear Dynamic Behavior Analysis of Dual-Rotor-Bearing Systems with Looseness and Rub–Impact Faults. AIAA Journal. 61(11). 5164–5175. 17 indexed citations

12.

Wei, Yuan, et al.. (2023). A Novel Data Augmentation and Composite Multiscale Network for Mechanical Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 15 indexed citations

13.

Li, Shaohua, et al.. (2023). Fatigue life prediction of high‐speed train bearings based on the generalized linear cumulative damage theory. Fatigue & Fracture of Engineering Materials & Structures. 46(6). 2112–2120. 8 indexed citations

14.

Wan, Shuting, et al.. (2023). A fault diagnosis method for variable speed gearbox bearing based on SET improved multi-source ridge line. Measurement. 214. 112758–112758. 11 indexed citations

15.

Yang, Shaopu, et al.. (2023). DTMSgram: a novel optimal demodulation frequency band selection method for wheelset bearings fault diagnosis under wheel-rail excitation. Measurement Science and Technology. 35(4). 45105–45105. 8 indexed citations

16.

Yang, Shaopu, et al.. (2023). A Balanced Deep Transfer Network for Bearing Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 19 indexed citations

17.

Gu, Xiaohui, Shaopu Yang, Yongqiang Liu, Zechao Liu, & Rujiang Hao. (2022). Weak fault feature extraction of rolling element bearings based on ensemble tunable Q -factor wavelet transform and non-dominated negentropy. Measurement Science and Technology. 33(6). 65015–65015. 6 indexed citations

18.

Lu, Kuan, Kangyu Zhang, Haopeng Zhang, et al.. (2021). A Review of Model Order Reduction Methods for Large‐Scale Structure Systems. Shock and Vibration. 2021(1). 25 indexed citations

19.

Gu, Xiaohui, Shaopu Yang, Yongqiang Liu, Rujiang Hao, & Zechao Liu. (2020). Multi-objective Informative Frequency Band Selection Based on Negentropy-induced Grey Wolf Optimizer for Fault Diagnosis of Rolling Element Bearings. Sensors. 20(7). 1845–1845. 16 indexed citations

20.

Gu, Xiaohui. (2008). BATTLEFIELD ACOUSTIC TARGET CLASSIFICATION AND RECOGNITION BASED ON EMD AND POWER RATIO. Zhendong yu chongji. 3 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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