Ge Xin

850 total citations · 1 hit paper
19 papers, 626 citations indexed

About

Ge Xin is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Ge Xin has authored 19 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 11 papers in Mechanical Engineering and 4 papers in Civil and Structural Engineering. Recurrent topics in Ge Xin's work include Machine Fault Diagnosis Techniques (13 papers), Gear and Bearing Dynamics Analysis (11 papers) and Robotic Mechanisms and Dynamics (5 papers). Ge Xin is often cited by papers focused on Machine Fault Diagnosis Techniques (13 papers), Gear and Bearing Dynamics Analysis (11 papers) and Robotic Mechanisms and Dynamics (5 papers). Ge Xin collaborates with scholars based in China, France and United States. Ge Xin's co-authors include Jérôme Antoni, Nacer Hamzaoui, Limin Jia, Honghui Dong, Zhi Zheng, Q. J. Ge, Yong Qin, Xiaoming Yang, Anurag Purwar and Xiangyun Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable Energy and IEEE Transactions on Industrial Informatics.

In The Last Decade

Ge Xin

18 papers receiving 611 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.

Fast computation of the spectral correlation

2017 300 citations Jérôme Antoni, Ge Xin 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
Ge Xin China	11	510	371	132	91	37	19	626
Jiande Wu China	13	419 0.8×	306 0.8×	136 1.0×	74 0.8×	50 1.4×	90	604
Huibin Lin China	11	436 0.9×	347 0.9×	115 0.9×	121 1.3×	36 1.0×	20	564
Zuozhou Pan China	11	600 1.2×	385 1.0×	194 1.5×	61 0.7×	45 1.2×	28	758
Yi Zang China	5	485 1.0×	291 0.8×	162 1.2×	45 0.5×	33 0.9×	9	562
Yao Cheng China	13	660 1.3×	588 1.6×	242 1.8×	125 1.4×	58 1.6×	20	848
Ruo-Bin Sun China	12	361 0.7×	291 0.8×	115 0.9×	146 1.6×	46 1.2×	30	516
Cédric Peeters Belgium	11	539 1.1×	365 1.0×	135 1.0×	187 2.1×	97 2.6×	46	713
Alessandro Paolo Daga Italy	9	402 0.8×	217 0.6×	113 0.9×	124 1.4×	38 1.0×	23	499
Zhongjie Shen China	11	620 1.2×	445 1.2×	263 2.0×	83 0.9×	38 1.0×	17	766
Moussa Hamadache South Korea	11	398 0.8×	274 0.7×	106 0.8×	70 0.8×	60 1.6×	24	556

Countries citing papers authored by Ge Xin

Since Specialization

Citations

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

Fields of papers citing papers by Ge Xin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Xin

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

19 of 19 papers shown

Xin, Ge, et al.. (2025). Complex Symplectic Geometry Mode Decomposition and A Novel Time–Frequency Fault Feature Extraction Method. IEEE Transactions on Instrumentation and Measurement. 74. 1–10. 3 indexed citations

Li, Yilei, et al.. (2024). Semi-supervised fault diagnosis of wheelset bearings in high-speed trains using autocorrelation and improved flow Gaussian mixture model. Engineering Applications of Artificial Intelligence. 132. 107861–107861. 19 indexed citations

Xin, Ge, et al.. (2024). Autonomous Bearing Fault Diagnosis Based on Fault-Induced Envelope Spectrum and Moving Peaks-Over-Threshold Approach. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 9 indexed citations

Xin, Ge, et al.. (2023). Towards automated, integrated and unsupervised diagnosis of rolling element bearings. Mechanical Systems and Signal Processing. 203. 110691–110691. 10 indexed citations

Xin, Ge, et al.. (2023). Vibration-based bearing fault diagnosis of high-speed trains: A literature review. SHILAP Revista de lepidopterología. 1(4). 219–223. 18 indexed citations

Xin, Ge, et al.. (2021). Fault Diagnosis of Wheelset Bearings in High-Speed Trains Using Logarithmic Short-Time Fourier Transform and Modified Self-Calibrated Residual Network. IEEE Transactions on Industrial Informatics. 18(10). 7285–7295. 60 indexed citations

Dong, Honghui, et al.. (2021). GCG: Graph Convolutional network and gated recurrent unit method for high-speed train axle temperature forecasting. Mechanical Systems and Signal Processing. 163. 108102–108102. 57 indexed citations

Xin, Ge, et al.. (2020). Health State Prediction of Rolling Element Bearing Using Phase Space Reconstruction and Improved GMDH. 289. 371–375. 1 indexed citations

Xin, Ge, Nacer Hamzaoui, & Jérôme Antoni. (2019). Extraction of second-order cyclostationary sources by matching instantaneous power spectrum with stochastic model – application to wind turbine gearbox. Renewable Energy. 147. 1739–1758. 14 indexed citations

10.

Zheng, Zhi & Ge Xin. (2019). Fault Feature Extraction of Hydraulic Pumps Based on Symplectic Geometry Mode Decomposition and Power Spectral Entropy. Entropy. 21(5). 476–476. 26 indexed citations

11.

Zhao, Xuejun, Yong Qin, Ge Xin, & Limin Jia. (2019). Blind Source Separation Based on EMD and Correlation Measure for Rotating Machinery Fault Diagnosis. 454. 836–839. 2 indexed citations

12.

Xin, Ge, Nacer Hamzaoui, & Jérôme Antoni. (2018). Semi-automated diagnosis of bearing faults based on a hidden Markov model of the vibration signals. Measurement. 127. 141–166. 59 indexed citations

13.

Xin, Ge, et al.. (2018). Low-rank and sparse model: A new perspective for rolling element bearing diagnosis. SPIRE - Sciences Po Institutional REpository. 1–5. 7 indexed citations

14.

Antoni, Jérôme, Ge Xin, & Nacer Hamzaoui. (2017). Fast computation of the spectral correlation. Mechanical Systems and Signal Processing. 92. 248–277. 300 indexed citations breakdown →

15.

Xin, Ge, Anurag Purwar, & Q. J. Ge. (2017). Finite Position Synthesis of 5-SS Platform Linkages Including Partially Specified Joint Locations. 1 indexed citations

16.

Xin, Ge, Anurag Purwar, & Q. J. Ge. (2016). From 5-SS Platform Linkage to Four-Revolute Jointed Planar, Spherical and Bennett Mechanisms. 3 indexed citations

17.

Zhao, Ping, Ge Xin, Bin Zi, & Q. J. Ge. (2015). Planar Linkage Synthesis for Mixed Exact and Approximated Motion Realization Via Kinematic Mapping. Journal of Mechanisms and Robotics. 8(5). 17 indexed citations

18.

Xin, Ge, et al.. (2015). Planar Linkage Synthesis for Mixed Exact and Approximated Motion Realization via Kinematic Mapping.

19.

Li, Xiangyun, Ge Xin, Anurag Purwar, & Q. J. Ge. (2014). A Unified Algorithm for Analysis and Simulation of Planar Four-Bar Motions Defined With R- and P-Joints. Journal of Mechanisms and Robotics. 7(1). 20 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.

Explore authors with similar magnitude of impact