Xuefang Xu

2.1k total citations · 2 hit papers
86 papers, 1.6k citations indexed

About

Xuefang Xu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Xuefang Xu has authored 86 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Control and Systems Engineering, 20 papers in Mechanical Engineering and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Xuefang Xu's work include Machine Fault Diagnosis Techniques (33 papers), Fault Detection and Control Systems (14 papers) and Gear and Bearing Dynamics Analysis (13 papers). Xuefang Xu is often cited by papers focused on Machine Fault Diagnosis Techniques (33 papers), Fault Detection and Control Systems (14 papers) and Gear and Bearing Dynamics Analysis (13 papers). Xuefang Xu collaborates with scholars based in China, Australia and United Kingdom. Xuefang Xu's co-authors include Yaguo Lei, Zijian Qiao, Peiming Shi, Pengfei Liang, Ruixiong Li, Jing Lin, Huaishuang Shao, Bin Wang, Junfang Wang and Deguang Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

Xuefang Xu

80 papers receiving 1.6k 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.

Fault transfer diagnosis of rolling bearings across multiple working conditions via subdomain adaptation and improved vision transformer network

2023 101 citations Pengfei Liang, Xuefang Xu et al. profile →
Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data

2024 60 citations Pengfei Liang, Xuefang Xu et al. Engineering Applications of Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xuefang Xu China	22	615	342	229	198	196	86	1.6k
Michael Nikolaou United States	32	1.6k 2.7×	754 2.2×	131 0.6×	142 0.7×	106 0.5×	141	3.3k
Jeffrey L. Stein United States	38	1.5k 2.5×	1.1k 3.2×	683 3.0×	89 0.4×	1.8k 9.1×	188	5.8k
Pei Li China	26	211 0.3×	493 1.4×	116 0.5×	399 2.0×	70 0.4×	116	1.8k
Eva Balsa‐Canto Spain	31	714 1.2×	88 0.3×	1.4k 6.1×	53 0.3×	46 0.2×	99	3.0k
Jin Yuan China	29	142 0.2×	292 0.9×	339 1.5×	66 0.3×	1.2k 6.3×	229	3.4k
Hongjin Kim South Korea	25	230 0.4×	250 0.7×	282 1.2×	83 0.4×	298 1.5×	110	1.9k
Yuxiao Chen United States	24	531 0.9×	83 0.2×	150 0.7×	41 0.2×	80 0.4×	86	1.9k
Jun‐Wei Wang China	33	2.5k 4.0×	145 0.4×	95 0.4×	82 0.4×	102 0.5×	160	3.5k
Xuezhi Wang China	30	256 0.4×	246 0.7×	240 1.0×	55 0.3×	469 2.4×	244	3.1k
Márcio das Chagas Moura Brazil	18	245 0.4×	169 0.5×	56 0.2×	114 0.6×	74 0.4×	75	1.2k

Countries citing papers authored by Xuefang Xu

Since Specialization

Citations

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

Fields of papers citing papers by Xuefang Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuefang Xu

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

20 of 20 papers shown

Shi, Peiming, et al.. (2025). KMDSAN: A novel method for cross-domain and unsupervised bearing fault diagnosis. Knowledge-Based Systems. 312. 113170–113170. 4 indexed citations

Shi, Peiming, et al.. (2025). A novel multiple-prototype and domain adversarial network for few-shot cross-domain fault diagnosis. Measurement Science and Technology. 36(3). 36134–36134.

He, Changbo, et al.. (2025). An improved lightweight residual network model deployed on the edge device for the unsupervised cross-domain fault diagnosis. Expert Systems with Applications. 296. 129106–129106. 2 indexed citations

Shi, Peiming, et al.. (2025). A small-sample cross-domain bearing fault diagnosis method based on knowledge-enhanced domain adversarial learning. Neurocomputing. 658. 131699–131699.

Zhang, Lijie, Junhui Hu, Pengfei Liang, et al.. (2025). Physically interpretable Stockwell weight initialization and adaptive fusion average threshold for intelligent fault diagnosis of rolling bearing under noisy environment. Engineering Applications of Artificial Intelligence. 160. 111916–111916. 1 indexed citations

Liang, Pengfei, et al.. (2024). Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data. Engineering Applications of Artificial Intelligence. 133. 108146–108146. 60 indexed citations breakdown →

Xu, Xuefang, et al.. (2024). Intelligent Fault Diagnosis for Variable Working Conditions Based on SAAFN and BICP. IEEE Sensors Journal. 24(7). 10841–10852. 4 indexed citations

Xu, Xuefang, et al.. (2024). A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis. Expert Systems with Applications. 246. 123124–123124. 22 indexed citations

Shi, Peiming, et al.. (2023). TSN: A novel intelligent fault diagnosis method for bearing with small samples under variable working conditions. Reliability Engineering & System Safety. 240. 109575–109575. 38 indexed citations

10.

Shao, Huaishuang, et al.. (2023). Minimum entropy deconvolution enhanced by KLOF and phase editing for fault diagnosis of rotating machinery. Applied Acoustics. 209. 109423–109423. 14 indexed citations

11.

Shi, Peiming, et al.. (2023). Nonlinear dynamics analysis of enhancing energy harvesting from intense vibration based on improved asymmetric bistable stochastic resonance model. Chinese Journal of Physics. 90. 223–236. 2 indexed citations

12.

Shi, Peiming, et al.. (2023). A novel feature enhancement framework for rotating machinery fault identification under limited datasets. Applied Acoustics. 211. 109537–109537. 7 indexed citations

13.

Li, Ruixiong, Erren Yao, Hao Chen, et al.. (2023). Comprehensive thermo-exploration of a near-isothermal compressed air energy storage system with a pre-compressing process and heat pump discharging. Energy. 268. 126609–126609. 17 indexed citations

14.

Xu, Xuefang, et al.. (2023). Incremental forecaster using C–C algorithm to phase space reconstruction and broad learning network for short-term wind speed prediction. Engineering Applications of Artificial Intelligence. 128. 107461–107461. 9 indexed citations

15.

Zhang, Jin, Shuping Wang, Ying Huang, et al.. (2022). Evaluation and Optimization of Microdrop Digital PCR for Detection of Serotype A and B Clostridium botulinum. Frontiers in Microbiology. 13. 860992–860992. 5 indexed citations

16.

Jiang, Hong, et al.. (2021). Confocal Raman microspectroscopy combined with chemometrics as a discrimination method of clostridia and serotypes of Clostridium botulinum strains. Journal of Raman Spectroscopy. 52(11). 1820–1829. 5 indexed citations

17.

Sun, Xihe, et al.. (2021). An investigation of a botulism poisoning event in Urumqi, Xinjiang. 36(4). 1–5. 1 indexed citations

18.

Xu, Xuefang. (2010). In vivo pharmacokinetic study on Qingyan Drop Pills in rat. 1 indexed citations

19.

Xu, Xuefang, et al.. (2009). [Factors associated with attitudes toward tobacco control policy in public places among adults in three counties of China].. PubMed. 30(6). 549–53. 2 indexed citations

20.

Wang, Junfang, et al.. (2007). Passive smoking in China: contributing factors and areas for future interventions.. PubMed. 20(5). 420–5. 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.

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