Xiaoli Zhao

2.6k total citations · 2 hit papers
70 papers, 2.0k citations indexed

About

Xiaoli Zhao is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Xiaoli Zhao has authored 70 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Control and Systems Engineering, 31 papers in Mechanical Engineering and 18 papers in Mechanics of Materials. Recurrent topics in Xiaoli Zhao's work include Machine Fault Diagnosis Techniques (42 papers), Fault Detection and Control Systems (22 papers) and Engineering Diagnostics and Reliability (16 papers). Xiaoli Zhao is often cited by papers focused on Machine Fault Diagnosis Techniques (42 papers), Fault Detection and Control Systems (22 papers) and Engineering Diagnostics and Reliability (16 papers). Xiaoli Zhao collaborates with scholars based in China, Canada and United States. Xiaoli Zhao's co-authors include Minping Jia, Zheng Liu, Peng Ding, Jianyong Yao, Wenxiang Deng, Yifei Ding, Jichao Zhuang, Yudong Cao, Mingyao Lin and Zheng Liu and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Nanoscale.

In The Last Decade

Xiaoli Zhao

64 papers receiving 2.0k citations

Hit Papers

Intelligent Fault Diagnosis of Gearbox Under Variable Wor... 2022 2026 2023 2024 2022 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoli Zhao China 24 1.4k 733 439 409 143 70 2.0k
Yongchao Zhang China 23 1.4k 1.0× 887 1.2× 454 1.0× 353 0.9× 232 1.6× 99 2.5k
Kun Yu China 25 1.6k 1.1× 1.1k 1.5× 546 1.2× 290 0.7× 163 1.1× 83 2.4k
Tianci Zhang China 21 1.5k 1.0× 793 1.1× 420 1.0× 499 1.2× 221 1.5× 45 2.0k
Govind Vashishtha India 26 976 0.7× 772 1.1× 305 0.7× 324 0.8× 259 1.8× 83 1.7k
Pengfei Liang China 23 1.3k 0.9× 722 1.0× 468 1.1× 391 1.0× 212 1.5× 64 2.1k
Zhenghong Wu China 24 1.2k 0.9× 847 1.2× 377 0.9× 352 0.9× 145 1.0× 45 1.8k
Xingqiu Li China 25 2.3k 1.6× 1.5k 2.0× 780 1.8× 436 1.1× 233 1.6× 38 2.8k
Dandan Peng China 16 1.4k 0.9× 829 1.1× 429 1.0× 267 0.7× 202 1.4× 39 1.8k

Countries citing papers authored by Xiaoli Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Zhao. A scholar is included among the top collaborators of Xiaoli Zhao 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 Xiaoli Zhao. Xiaoli Zhao 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.
Yao, Jianyong, et al.. (2025). Few-shot fault diagnosis of EHA based on MTF-ResNet-MA and dual-attribute adaptive decision-level fusion. Measurement. 247. 116787–116787. 10 indexed citations
2.
Zhao, Xiaoli, et al.. (2025). A New Intelligent Recognition Method for Surface Electromyography in IoT Systems Using OmniXceptionDBN. IEEE Internet of Things Journal. 12(14). 28445–28453. 2 indexed citations
3.
Zhao, Xiaoli, et al.. (2025). MAACCN: An Intelligent Decoupling Diagnosis Method for Compound Faults in Electrohydrostatic Actuators. IEEE Transactions on Instrumentation and Measurement. 74. 1–11. 7 indexed citations
4.
Zhao, Chun, et al.. (2025). Diffusion-Enhanced Dual-Domain Adversarial Network: A Zero-Shot Fault Diagnosis Method for Electrohydrostatic Actuators. IEEE Transactions on Instrumentation and Measurement. 74. 1–9. 1 indexed citations
5.
Shao, Haidong, et al.. (2025). Collaborative human-computer fault diagnosis via calibrated confidence estimation. Advanced Engineering Informatics. 65. 103349–103349. 10 indexed citations
7.
8.
Zhao, Xiaoli, et al.. (2024). A novel progressive domain separation network with multi-metric ensemble quantification for open set fault diagnosis of motor bearings. Advanced Engineering Informatics. 64. 103060–103060. 2 indexed citations
9.
Cao, Yudong, Jichao Zhuang, Qiuhua Miao, et al.. (2024). Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence. Reliability Engineering & System Safety. 246. 110079–110079. 10 indexed citations
10.
Huang, Hao, et al.. (2024). Thermal Characteristic and Analysis of Electro-Hydrostatic Actuator. IEEE Access. 12. 34222–34234. 3 indexed citations
11.
Zhuang, Jichao, Yuejian Chen, Xiaoli Zhao, Minping Jia, & Ke Feng. (2024). A Graph-Embedded Subdomain Adaptation Approach for Remaining Useful Life Prediction of Industrial IoT Systems. IEEE Internet of Things Journal. 11(13). 22903–22914. 16 indexed citations
12.
Zhao, Xiaoli, et al.. (2023). Adaptive Multiscale Convolution Manifold Embedding Networks for Intelligent Fault Diagnosis of Servo Motor-Cylindrical Rolling Bearing Under Variable Working Conditions. IEEE/ASME Transactions on Mechatronics. 29(3). 2230–2240. 59 indexed citations
13.
Zhao, Xiaoli, Xingjun Zhu, Jianyong Yao, et al.. (2023). Intelligent Health Assessment of Aviation Bearing Based on Deep Transfer Graph Convolutional Networks under Large Speed Fluctuations. Sensors. 23(9). 4379–4379. 6 indexed citations
14.
Ding, Peng, Xiaoli Zhao, Haidong Shao, & Minping Jia. (2023). Machinery cross domain degradation prognostics considering compound domain shifts. Reliability Engineering & System Safety. 239. 109490–109490. 24 indexed citations
15.
Xie, Min, Bojun Liu, Xiaoran Liu, et al.. (2022). Impact of atmospheric thermodynamic structures and aerosol radiation feedback on winter regional persistent heavy particulate pollution in the Sichuan-Chongqing region, China. The Science of The Total Environment. 842. 156575–156575. 23 indexed citations
16.
Zhao, Xiaoli, Minping Jia, Junchi Bin, Teng Wang, & Zheng Liu. (2020). Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing. IEEE Transactions on Instrumentation and Measurement. 70. 1–12. 49 indexed citations
17.
Wu, Qun, et al.. (2020). Single-channel SEMG using wavelet deep belief networks for upper limb motion recognition. International Journal of Industrial Ergonomics. 76. 102905–102905. 26 indexed citations
18.
Zhao, Xiaoli, et al.. (2020). A New Intelligent Weak Fault Recognition Framework for Rotating Machinery. The International Journal of Acoustics and Vibration. 25(3). 461–479. 1 indexed citations
19.
Zhao, Xiaoli. (2007). Voltage/Reactive Power Optimal Control in a Substation Based on Rate of Load Change.
20.
Zhao, Xiaoli. (2005). Progress and Prospect of Ablation Resistance of Insulation of EPDM Rubber. Cailiao kexue yu gongcheng xuebao. 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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