Xiaopeng Xi

1.8k total citations · 1 hit paper
36 papers, 1.2k citations indexed

About

Xiaopeng Xi is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaopeng Xi has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 13 papers in Safety, Risk, Reliability and Quality and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaopeng Xi's work include Reliability and Maintenance Optimization (13 papers), Machine Fault Diagnosis Techniques (9 papers) and Image Retrieval and Classification Techniques (8 papers). Xiaopeng Xi is often cited by papers focused on Reliability and Maintenance Optimization (13 papers), Machine Fault Diagnosis Techniques (9 papers) and Image Retrieval and Classification Techniques (8 papers). Xiaopeng Xi collaborates with scholars based in China, United States and Chile. Xiaopeng Xi's co-authors include Eamonn Keogh, Wei Li, Chotirat Ann Ratanamahatana, Christian R. Shelton, Maoyin Chen, Donghua Zhou, Sang‐Hee Lee, Michail Vlachos, Hanwen Zhang and Dah-Jye Lee and has published in prestigious journals such as Mechanical Systems and Signal Processing, Neurocomputing and Reliability Engineering & System Safety.

In The Last Decade

Xiaopeng Xi

32 papers receiving 1.2k citations

Hit Papers

Fast time series classification using numerosity reduction 2006 2026 2012 2019 2006 100 200 300
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.

  1. Fast time series classification using numerosity reduction
    2006 394 citations Xiaopeng Xi, Eamonn Keogh et al. profile →

Peers

Xiaopeng Xi
Mansour Sheikhan Iran
Pei Sun Australia
Daniel Nikovski United States
Houjun Wang China
Wannes Meert Belgium
Yang Weng United States
Hai-Jun Rong China
Jinkuan Wang China
Mei Yuan China
Shixiong Xia China
Mansour Sheikhan Iran
Xiaopeng Xi
Citations per year, relative to Xiaopeng Xi Xiaopeng Xi (= 1×) peers Mansour Sheikhan

Countries citing papers authored by Xiaopeng Xi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopeng Xi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaopeng Xi

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

All Works

20 of 20 papers shown
1.
Sheng, Li, et al.. (2025). A review of SCADA-based condition monitoring for wind turbines via artificial neural networks. Neurocomputing. 633. 129830–129830. 4 indexed citations
2.
Yang, Rui, et al.. (2025). FWRF: Mitigating Redundant Features in Fault Diagnosis via Feature Weighted Random Forest. IEEE Transactions on Instrumentation and Measurement. 74. 1–11.
3.
Si, Xiaosheng, et al.. (2025). Adaptive Remaining Useful Life Prediction Based on a System-Level Variable Structure Degradation Model. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 1 indexed citations
4.
Xi, Xiaopeng, et al.. (2024). Feature-weighted Random Forest with Boruta for Fault Diagnosis of Satellite Attitude Control Systems. Annual Conference of the PHM Society. 16(1).
5.
Zhang, Huixin, Xiaopeng Xi, & Rong Pan. (2023). A two-stage data-driven approach to remaining useful life prediction via long short-term memory networks. Reliability Engineering & System Safety. 237. 109332–109332. 51 indexed citations
6.
Wang, Shuai, et al.. (2023). Mechanical and experimental analysis of steel wire rope during torsion. Mechanics of Advanced Materials and Structures. 31(21). 5211–5219. 1 indexed citations
7.
He, Xiao, et al.. (2023). ES-DLSSVM-Based Prognostics of Rolling Element Bearings. IEEE Transactions on Reliability. 73(1). 317–327. 4 indexed citations
8.
Yang, Rui, et al.. (2023). A Random Forest and Model-Based Hybrid Method of Fault Diagnosis for Satellite Attitude Control Systems. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 23 indexed citations
9.
Xi, Xiaopeng & Donghua Zhou. (2022). Prognostics of State-dependent Fractional Degradation Processes with Stochastic Disturbance. IFAC-PapersOnLine. 55(6). 490–495. 1 indexed citations
10.
11.
Xi, Xiaopeng & Donghua Zhou. (2021). Prognostics of fractional degradation processes with state-dependent delay. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 236(1). 114–124. 3 indexed citations
12.
Keogh, Eamonn, Wei Li, Stefano Lonardi, & Xiaopeng Xi. (2020). Integrating Lite-Weight but Ubiquitous Data Mining into GUI Operating Systems. Zenodo (CERN European Organization for Nuclear Research).
13.
Xi, Xiaopeng, Donghua Zhou, Maoyin Chen, & N. Balakrishnan. (2019). Remaining useful life prediction for fractional degradation processes under varying modes. The Canadian Journal of Chemical Engineering. 98(6). 1351–1364. 7 indexed citations
14.
Zhang, Hanwen, Donghua Zhou, Maoyin Chen, & Xiaopeng Xi. (2018). Predicting remaining useful life based on a generalized degradation with fractional Brownian motion. Mechanical Systems and Signal Processing. 115. 736–752. 37 indexed citations
15.
Xi, Xiaopeng, Maoyin Chen, & Donghua Zhou. (2017). Remaining Useful Life Prediction for Degradation Processes With Memory Effects. IEEE Transactions on Reliability. 66(3). 751–760. 38 indexed citations
16.
Keogh, Eamonn, Wei Li, Xiaopeng Xi, et al.. (2008). Supporting exact indexing of arbitrarily rotated shapes and periodic time series under Euclidean and warping distance measures. The VLDB Journal. 18(3). 611–630. 86 indexed citations
17.
Li, Wei, et al.. (2008). Efficiently finding unusual shapes in large image databases. Data Mining and Knowledge Discovery. 17(3). 343–376. 12 indexed citations
18.
Yankov, Dragomir, et al.. (2008). Fast Best-Match Shape Searching in Rotation-Invariant Metric Spaces. IEEE Transactions on Multimedia. 10(2). 230–239. 8 indexed citations
19.
Keogh, Eamonn, Wei Li, Xiaopeng Xi, Sang‐Hee Lee, & Michail Vlachos. (2006). LB_Keogh supports exact indexing of shapes under rotation invariance with arbitrary representations and distance measures. Very Large Data Bases. 882–893. 135 indexed citations
20.

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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