Xiaoxi Ding

2.5k total citations · 2 hit papers
100 papers, 1.8k citations indexed

About

Xiaoxi Ding is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Xiaoxi Ding has authored 100 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Control and Systems Engineering, 56 papers in Mechanical Engineering and 27 papers in Mechanics of Materials. Recurrent topics in Xiaoxi Ding's work include Machine Fault Diagnosis Techniques (70 papers), Gear and Bearing Dynamics Analysis (42 papers) and Fault Detection and Control Systems (21 papers). Xiaoxi Ding is often cited by papers focused on Machine Fault Diagnosis Techniques (70 papers), Gear and Bearing Dynamics Analysis (42 papers) and Fault Detection and Control Systems (21 papers). Xiaoxi Ding collaborates with scholars based in China, United Kingdom and Canada. Xiaoxi Ding's co-authors include Qingbo He, Yimin Shao, Liming Wang, Wenbin Huang, Wenbin Huang, Quanchang Li, Yinjun Wang, Qiang Zeng, Haiyue Song and Xiaoqing Yang and has published in prestigious journals such as Advanced Functional Materials, Analytical Chemistry and Journal of The Electrochemical Society.

In The Last Decade

Xiaoxi Ding

92 papers receiving 1.8k citations

Hit Papers

Energy-Fluctuated Multiscale Feature Learning With Deep C... 2017 2026 2020 2023 2017 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoxi Ding China 22 1.3k 963 517 200 194 100 1.8k
Zong Meng China 28 2.0k 1.5× 1.3k 1.4× 708 1.4× 171 0.9× 224 1.2× 120 2.6k
Guangrui Wen China 25 1.1k 0.8× 1.3k 1.4× 527 1.0× 267 1.3× 211 1.1× 136 2.3k
Binqiang Chen China 21 1000 0.8× 768 0.8× 361 0.7× 160 0.8× 375 1.9× 55 1.6k
Hesheng Tang China 29 1.4k 1.1× 1.4k 1.5× 551 1.1× 166 0.8× 269 1.4× 99 2.3k
Zhinong Jiang China 22 1.1k 0.8× 819 0.9× 430 0.8× 113 0.6× 190 1.0× 78 1.5k
Liuyang Song China 23 1.7k 1.3× 1.0k 1.1× 549 1.1× 145 0.7× 216 1.1× 75 2.1k
Wenhua Du China 19 1.2k 0.9× 851 0.9× 369 0.7× 109 0.5× 202 1.0× 44 1.6k
Zitong Zhou China 29 1.8k 1.3× 1.1k 1.1× 505 1.0× 345 1.7× 141 0.7× 74 2.4k
Guolin He China 29 2.1k 1.6× 1.5k 1.6× 597 1.2× 225 1.1× 288 1.5× 47 2.8k

Countries citing papers authored by Xiaoxi Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxi Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxi Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxi Ding. A scholar is included among the top collaborators of Xiaoxi Ding 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 Xiaoxi Ding. Xiaoxi Ding 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.
Chen, Zixu, et al.. (2025). Bi-structural spatial–temporal network for few-shot fault diagnosis of rotating machinery. Mechanical Systems and Signal Processing. 227. 112378–112378. 4 indexed citations
2.
Wang, Yaqin, et al.. (2025). Prior knowledge-guided multi-scale acoustic metamaterial sensing for gearbox weak fault signal detection. Applied Acoustics. 231. 110532–110532. 1 indexed citations
3.
Kang, Xiaolin, et al.. (2025). Electromagnetic energy harvester based on a single pendulum structure for smart wind turbine bearing. Smart Materials and Structures. 34(12). 125024–125024.
4.
Li, Xue‐Gang, et al.. (2024). Single-domain incremental generation network for machinery intelligent fault diagnosis under unknown working speeds. Advanced Engineering Informatics. 60. 102400–102400. 22 indexed citations
5.
Ding, Xiaoxi, et al.. (2024). Digital-analog driven multi-scale transfer for smart bearing fault diagnosis. Engineering Applications of Artificial Intelligence. 137. 109186–109186. 3 indexed citations
6.
Ding, Xiaoxi, et al.. (2024). Knowledge-informed FIR-based cross-category filtering framework for interpretable machinery fault diagnosis under small samples. Reliability Engineering & System Safety. 254. 110610–110610. 7 indexed citations
7.
Ding, Xiaoxi, et al.. (2024). Gear fault detection via directional enhancement of phononic crystal resonators. International Journal of Mechanical Sciences. 278. 109453–109453. 13 indexed citations
8.
Wang, Yinjun, et al.. (2024). A reference learning network for fault diagnosis of rotating machinery under strong noise. Applied Soft Computing. 166. 112150–112150. 3 indexed citations
9.
Li, Xuegang, et al.. (2024). Domain expansion fusion single-domain generalization framework for mechanical fault diagnosis under unknown working conditions. Engineering Applications of Artificial Intelligence. 138. 109380–109380. 8 indexed citations
10.
Ding, Xiaoxi, et al.. (2024). An interpretable multiplication-convolution residual network for equipment fault diagnosis via time–frequency filtering. Advanced Engineering Informatics. 60. 102421–102421. 8 indexed citations
11.
Ding, Xiaoxi, et al.. (2024). Dual-drive RUL prediction of gear transmission systems based on dynamic model and unsupervised domain adaption under zero sample. Reliability Engineering & System Safety. 253. 110442–110442. 6 indexed citations
12.
Wang, Bing, et al.. (2023). A new particle swarm optimization aided evolutionary digital filter for noise cancellation in early fault diagnosis of rotating machinery. Swarm and Evolutionary Computation. 83. 101407–101407. 6 indexed citations
13.
Ding, Xiaoxi, et al.. (2023). A new raw signal fusion method using reweighted VMD for early crack fault diagnosis at spline tooth of clutch friction disc. Measurement. 220. 113414–113414. 15 indexed citations
14.
Ding, Xiaoxi, et al.. (2023). Dual-kernel driven convolutional sparse learning for bearing transient feature enhancement. Measurement. 216. 112643–112643. 2 indexed citations
15.
Ding, Xiaoxi, et al.. (2023). Decision Self-Regulating Network for Imbalanced Working Conditions Identification in the Application of Gearbox Intelligent Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 2 indexed citations
16.
Sun, Xiuquan, et al.. (2022). Gear Health Monitoring and RUL Prediction Based on MSB Analysis. IEEE Sensors Journal. 22(5). 4400–4409. 22 indexed citations
17.
Ding, Xiaoxi, et al.. (2022). An Improved Dynamic Modelling for Exploring Ball Bearing Vibrations from Time-varying Oil Film. 93–102. 15 indexed citations
18.
Wang, Yinjun, Xiaoxi Ding, Qiang Zeng, Liming Wang, & Yimin Shao. (2020). Intelligent Rolling Bearing Fault Diagnosis via Vision ConvNet. IEEE Sensors Journal. 21(5). 6600–6609. 53 indexed citations
19.
Ding, Xiaoxi, et al.. (2019). Transient Signal Analysis Using Parallel Time-Frequency Manifold Filtering for Bearing Health Diagnosis. IEEE Access. 7. 175277–175289. 2 indexed citations
20.
Ding, Xiaoxi, et al.. (1997). Linear Regression Based Combination of Neural Classifiers.. International Conference on Neural Information Processing. 608–611. 2 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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