Xingkai Yang

1.2k total citations · 4 hit papers
26 papers, 938 citations indexed

About

Xingkai Yang is a scholar working on Mechanical Engineering, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, Xingkai Yang has authored 26 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanical Engineering, 19 papers in Control and Systems Engineering and 3 papers in Civil and Structural Engineering. Recurrent topics in Xingkai Yang's work include Gear and Bearing Dynamics Analysis (19 papers), Machine Fault Diagnosis Techniques (19 papers) and Tribology and Lubrication Engineering (7 papers). Xingkai Yang is often cited by papers focused on Gear and Bearing Dynamics Analysis (19 papers), Machine Fault Diagnosis Techniques (19 papers) and Tribology and Lubrication Engineering (7 papers). Xingkai Yang collaborates with scholars based in Canada, China and Sweden. Xingkai Yang's co-authors include Xiang Zhong, Haidong Shao, Baoping Cai, Haidong Shao, Qianwang Deng, Jianping Xuan, Song-Yu Han, Junsheng Cheng, Ming J. Zuo and Zhigang Tian and has published in prestigious journals such as Proceedings of the Royal Society B Biological Sciences, Sensors and Building and Environment.

In The Last Decade

Xingkai Yang

25 papers receiving 905 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.

Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework

2022 252 citations Xiang Zhong, Haidong Shao et al. Advanced Engineering Informatics profile →
Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds

2021 242 citations Haidong Shao, Xiang Zhong et al. profile →
Convformer-NSE: A Novel End-to-End Gearbox Fault Diagnosis Framework Under Heavy Noise Using Joint Global and Local Information

2022 133 citations Song-Yu Han, Haidong Shao et al. IEEE/ASME Transactions on Mechatronics profile →
Rolling Bearing Fault Diagnosis Under Data Imbalance and Variable Speed Based on Adaptive Clustering Weighted Oversampling

2024 75 citations Yanfeng Peng, Yiping Shen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xingkai Yang Canada	12	700	466	203	159	68	26	938
Kun Xu China	17	661 0.9×	441 0.9×	262 1.3×	145 0.9×	68 1.0×	41	899
Weiwei Qian China	14	752 1.1×	472 1.0×	284 1.4×	138 0.9×	68 1.0×	28	943
Zexian Wei China	11	610 0.9×	397 0.9×	209 1.0×	115 0.7×	74 1.1×	24	844
Gaoliang Peng China	7	632 0.9×	411 0.9×	201 1.0×	83 0.5×	52 0.8×	7	792
Yaoxiang Yu China	18	491 0.7×	406 0.9×	186 0.9×	136 0.9×	107 1.6×	56	874
Qin Yi China	7	502 0.7×	339 0.7×	150 0.7×	128 0.8×	75 1.1×	24	745
Yu Xin China	16	564 0.8×	353 0.8×	214 1.1×	83 0.5×	45 0.7×	40	713
Shanshan Ji China	10	469 0.7×	292 0.6×	146 0.7×	87 0.5×	53 0.8×	20	640
Yuan Wei China	16	435 0.6×	410 0.9×	169 0.8×	87 0.5×	75 1.1×	69	792
Prashant Kumar South Korea	16	405 0.6×	210 0.5×	133 0.7×	56 0.4×	77 1.1×	35	630

Countries citing papers authored by Xingkai Yang

Since Specialization

Citations

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

Fields of papers citing papers by Xingkai Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingkai Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xingkai Yang. A scholar is included among the top collaborators of Xingkai Yang 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 Xingkai Yang. Xingkai Yang 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, Rui, et al.. (2025). Physics-guided ODE neural network for high-fidelity gearbox dynamics modeling based on vibration measurements. Mechanical Systems and Signal Processing. 232. 112720–112720. 1 indexed citations

Cheng, Junsheng, et al.. (2025). Blaschke mode decomposition: algorithm and application. Structural Health Monitoring. 1 indexed citations

Rao, Meng, Xingkai Yang, Zheng Cao, Ming J. Zuo, & Fulei Chu. (2024). Normalizing vibration signals with a novel piecewise power fitting method for intelligent fault detection of rotating machinery. Mechanical Systems and Signal Processing. 221. 111751–111751. 5 indexed citations

Chen, Peng, et al.. (2024). Step-wise contrastive representation learning for diagnosing unknown defective categories in planetary gearboxes. Knowledge-Based Systems. 309. 112863–112863. 9 indexed citations

Lv, Yong, et al.. (2024). Amplitude-based multiscale reverse dispersion entropy: a novel approach to bearing fault diagnosis. Structural Health Monitoring. 23(5). 3063–3083. 5 indexed citations

Tian, Tao, Yanfeng Peng, Yiping Shen, et al.. (2024). Fault Diagnosis of Gear Pump Based on Cyclic Impulse Characteristic Decomposition. IEEE Sensors Journal. 25(4). 6646–6658.

Yang, Yu, Jinde Zheng, Haiyang Pan, et al.. (2024). Symplectic Sparsest Mode Decomposition and Its Application in Rolling Bearing Fault Diagnosis. IEEE Sensors Journal. 24(8). 12756–12769. 4 indexed citations

Han, Song-Yu, et al.. (2023). A new framework for intelligent fault diagnosis of spiral bevel gears with unbalanced data. Applied Intelligence. 53(18). 21312–21324. 7 indexed citations

Li, Ye, et al.. (2023). Intelligent fault diagnosis for high-speed bearing towards unbalanced samples via convolutional weight adaptive network. Journal of Engineering Design. 36(7-9). 1069–1092. 3 indexed citations

10.

Han, Song-Yu, Haidong Shao, Junsheng Cheng, Xingkai Yang, & Baoping Cai. (2022). Convformer-NSE: A Novel End-to-End Gearbox Fault Diagnosis Framework Under Heavy Noise Using Joint Global and Local Information. IEEE/ASME Transactions on Mechatronics. 28(1). 340–349. 133 indexed citations breakdown →

11.

Yang, Xingkai, et al.. (2022). Analysis of spur gearbox dynamics considering tooth lubrication and tooth crack severity progression. Tribology International. 178. 108027–108027. 20 indexed citations

12.

Yang, Xingkai, Dongdong Wei, Ming J. Zuo, & Zhigang Tian. (2022). Analysis of vibration signals and detection for multiple tooth cracks in spur gearboxes. Mechanical Systems and Signal Processing. 185. 109780–109780. 19 indexed citations

13.

Zhong, Xiang, et al.. (2022). Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework. Advanced Engineering Informatics. 52. 101552–101552. 252 indexed citations breakdown →

14.

Yang, Xingkai, Peng Zhou, Ming J. Zuo, Zhigang Tian, & Zhike Peng. (2022). The effect of time-varying operating condition on the crack induced impulses and its application to gearbox tooth crack diagnosis. Mechanical Systems and Signal Processing. 188. 110026–110026. 12 indexed citations

15.

Yang, Xingkai, Ming J. Zuo, & Zhigang Tian. (2021). Development of crack induced impulse-based condition indicators for early tooth crack severity assessment. Mechanical Systems and Signal Processing. 165. 108327–108327. 16 indexed citations

16.

Rao, Meng, et al.. (2021). Structure Fatigue Crack Length Estimation and Prediction Using Ultrasonic Wave Data Based on Ensemble Linear Regression and Paris’s Law. International Journal of Prognostics and Health Management. 11(2). 3 indexed citations

17.

Chen, Xianhua, Xingkai Yang, Ming J. Zuo, & Zhigang Tian. (2020). Dynamic Modeling of a Planetary Gearbox with Sun Gear Crack and Bearing Clearance. 1–6. 4 indexed citations

18.

Yang, Xingkai, Ming J. Zuo, & Zhigang Tian. (2020). Normalization of gearbox vibration signal for tracking tooth crack severity progression under time-varying operating conditions. 41. 1–6. 2 indexed citations

19.

Yang, Xingkai, Ming J. Zuo, & Zhigang Tian. (2019). Tooth Crack Severity Assessment in the Early Stage of Crack Propagation Using Gearbox Dynamic Model. Annual Conference of the PHM Society. 11(1). 2 indexed citations

20.

Yang, Yu, et al.. (2017). Fault feature analysis of cracked gear based on LOD and analytical-FE method. Mechanical Systems and Signal Processing. 98. 951–967. 32 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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