Zexian Wei

1.2k total citations · 2 hit papers
24 papers, 844 citations indexed

About

Zexian Wei is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Zexian Wei has authored 24 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 15 papers in Mechanical Engineering and 3 papers in Mechanics of Materials. Recurrent topics in Zexian Wei's work include Machine Fault Diagnosis Techniques (20 papers), Gear and Bearing Dynamics Analysis (11 papers) and Fault Detection and Control Systems (8 papers). Zexian Wei is often cited by papers focused on Machine Fault Diagnosis Techniques (20 papers), Gear and Bearing Dynamics Analysis (11 papers) and Fault Detection and Control Systems (8 papers). Zexian Wei collaborates with scholars based in China and Portugal. Zexian Wei's co-authors include Deqiang He, Zhenzhen Jin, Yanxue Wang, Shuilong He, Jianwei Yang, Zhenpeng Lao, Jian Miao, Sheng Shan, Bin Liu and Yanjun Chen and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Industrial Informatics.

In The Last Decade

Zexian Wei

23 papers receiving 815 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.

Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN

2022 210 citations Zhenzhen Jin, Deqiang He et al. Engineering Applications of Artificial Intelligence profile →
AGFCN:A bearing fault diagnosis method for high-speed train bogie under complex working conditions

2025 35 citations Deqiang He, Jinxin Wu et al. Reliability Engineering & System Safety profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zexian Wei China	11	610	397	209	115	74	24	844
Gaoliang Peng China	7	632 1.0×	411 1.0×	201 1.0×	83 0.7×	52 0.7×	7	792
Changchang Che China	14	509 0.8×	287 0.7×	193 0.9×	96 0.8×	51 0.7×	30	739
Zhenzhen Jin China	17	772 1.3×	505 1.3×	261 1.2×	119 1.0×	124 1.7×	53	1.1k
Huaiqian Bao China	14	569 0.9×	353 0.9×	182 0.9×	143 1.2×	87 1.2×	52	816
Jianghong Zhou China	13	622 1.0×	323 0.8×	177 0.8×	118 1.0×	61 0.8×	22	836
Jichao Zhuang China	14	604 1.0×	375 0.9×	166 0.8×	211 1.8×	77 1.0×	25	843
Daoming She China	12	511 0.8×	297 0.7×	161 0.8×	96 0.8×	67 0.9×	25	674
Meng Hee Lim Malaysia	14	596 1.0×	329 0.8×	189 0.9×	138 1.2×	122 1.6×	30	876
Maogui Niu China	7	699 1.1×	423 1.1×	250 1.2×	103 0.9×	53 0.7×	8	803

Countries citing papers authored by Zexian Wei

Since Specialization

Citations

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

Fields of papers citing papers by Zexian Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zexian Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Zexian Wei. A scholar is included among the top collaborators of Zexian Wei 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 Zexian Wei. Zexian Wei 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

He, Deqiang, Jinxin Wu, Zhenzhen Jin, et al.. (2025). AGFCN:A bearing fault diagnosis method for high-speed train bogie under complex working conditions. Reliability Engineering & System Safety. 258. 110907–110907. 35 indexed citations breakdown →

Wei, Zexian, et al.. (2025). Bogie key components fault diagnosis utilizing multi-sensor tensor graphs and dual-attribute feature selection. Engineering Applications of Artificial Intelligence. 160. 111727–111727. 2 indexed citations

He, Deqiang, et al.. (2025). CEEMDAN and adaptive distance embedding for fault diagnosis of train bogie bearing. Measurement Science and Technology. 36(3). 36127–36127. 1 indexed citations

Lao, Zhenpeng, et al.. (2025). MF-MSRNet: a fault diagnosis method for train bogie bearing based on multi-source data fusion and multi-scale residual network. Nondestructive Testing And Evaluation. 1–38. 5 indexed citations

Wei, Zexian, et al.. (2025). A review of fault diagnosis for train signal system based on multi-source information fusion. Engineering Research Express. 7(2). 22503–22503. 3 indexed citations

He, Deqiang, Zexian Wei, Zhenzhen Jin, et al.. (2025). Phased array ultrasonic image inspection method for weld defects based on dimensional analysis. Welding in the World. 1 indexed citations

Wei, Zexian, et al.. (2024). Direct Denoising of Fault Signal for Train Bogie Bearing Under Speed Change Condition. IEEE Transactions on Vehicular Technology. 73(11). 16582–16592. 3 indexed citations

He, Deqiang, et al.. (2024). A train bearing imbalanced fault diagnosis method based on extended CCR and multi-scale feature fusion network. Nonlinear Dynamics. 112(15). 13147–13173. 12 indexed citations

Zhong, Hao, Deqiang He, Zexian Wei, et al.. (2024). A novel meta-learning network with adversarial domain-adaptation and attention mechanism for cross-domain for train bearing fault diagnosis. Measurement Science and Technology. 35(12). 125109–125109. 6 indexed citations

10.

Wei, Zexian, et al.. (2024). Subway Train Bearing Fault Detection Under Variable Speed Based on Speed-Guided ACMD and Order Tracking. IEEE Sensors Journal. 25(2). 3151–3159. 3 indexed citations

11.

He, Deqiang, et al.. (2023). Personalized fault diagnosis of rolling bearings in trains based on digital twin. Measurement Science and Technology. 34(12). 125131–125131. 6 indexed citations

12.

He, Deqiang, et al.. (2023). Preventive maintenance optimization for key components of subway train bogie with consideration of failure risk. Engineering Failure Analysis. 154. 107634–107634. 56 indexed citations

13.

Lao, Zhenpeng, Deqiang He, Zexian Wei, et al.. (2023). Intelligent fault diagnosis for rail transit switch machine based on adaptive feature selection and improved LightGBM. Engineering Failure Analysis. 148. 107219–107219. 61 indexed citations

14.

Wei, Zexian, Deqiang He, Zhenzhen Jin, et al.. (2023). Intelligent fault diagnosis and health stage division of bearing based on tensor clustering and feature space denoising. Applied Intelligence. 53(21). 24671–24688. 8 indexed citations

15.

Wei, Zexian, Deqiang He, Zhenzhen Jin, et al.. (2023). Density-Based Affinity Propagation Tensor Clustering for Intelligent Fault Diagnosis of Train Bogie Bearing. IEEE Transactions on Intelligent Transportation Systems. 24(6). 6053–6064. 74 indexed citations

16.

He, Deqiang, et al.. (2022). A lightweight model for train bearing fault diagnosis based on multiscale attentional feature fusion. Measurement Science and Technology. 34(2). 25113–25113. 9 indexed citations

17.

Jin, Zhenzhen, et al.. (2022). Fault diagnosis of bearing based on refined piecewise composite multivariate multiscale fuzzy entropy. Digital Signal Processing. 133. 103884–103884. 20 indexed citations

18.

Jin, Zhenzhen, et al.. (2022). Early intelligent fault diagnosis of rotating machinery based on IWOA-VMD and DMKELM. Nonlinear Dynamics. 111(6). 5287–5306. 29 indexed citations

19.

Wang, Yanxue, Zexian Wei, & Jianwei Yang. (2018). Feature Trend Extraction and Adaptive Density Peaks Search for Intelligent Fault Diagnosis of Machines. IEEE Transactions on Industrial Informatics. 15(1). 105–115. 116 indexed citations

20.

Wei, Zexian, et al.. (2016). A novel intelligent method for bearing fault diagnosis based on affinity propagation clustering and adaptive feature selection. Knowledge-Based Systems. 116. 1–12. 168 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