Jingli Yang

1.7k total citations · 4 hit papers
87 papers, 1.2k citations indexed

About

Jingli Yang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Mechanics of Materials. According to data from OpenAlex, Jingli Yang has authored 87 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Control and Systems Engineering, 29 papers in Electrical and Electronic Engineering and 18 papers in Mechanics of Materials. Recurrent topics in Jingli Yang's work include Fault Detection and Control Systems (33 papers), Machine Fault Diagnosis Techniques (32 papers) and Engineering Diagnostics and Reliability (15 papers). Jingli Yang is often cited by papers focused on Fault Detection and Control Systems (33 papers), Machine Fault Diagnosis Techniques (32 papers) and Engineering Diagnostics and Reliability (15 papers). Jingli Yang collaborates with scholars based in China, Singapore and Japan. Jingli Yang's co-authors include Tianyu Gao, Shouda Jiang, Yinsheng Chen, Changdong Wang, Huamin Jie, Zhenyu Zhao, Qing Tang, Zhen Sun, Changdong Wang and Zheng Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Jingli Yang

79 papers receiving 1.2k 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.

A multi-source domain information fusion network for rotating machinery fault diagnosis under variable operating conditions

2024 92 citations Tianyu Gao, Jingli Yang et al. Information Fusion profile →
Neural-transformer: A brain-inspired lightweight mechanical fault diagnosis method under noise

2024 61 citations Changdong Wang, Jingli Yang et al. Reliability Engineering & System Safety profile →
An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain

2024 47 citations Changdong Wang, Jingli Yang et al. Advanced Engineering Informatics profile →
Learning to Imbalanced Open Set Generalize: A Meta-Learning Framework for Enhanced Mechanical Diagnosis

2025 21 citations Changdong Wang, Jingli Yang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jingli Yang China	20	733	313	286	220	202	87	1.2k
Cheol Hong Kim South Korea	19	588 0.8×	183 0.6×	427 1.5×	110 0.5×	202 1.0×	108	1.2k
Murat Aşkar Türkiye	8	813 1.1×	206 0.7×	449 1.6×	242 1.1×	272 1.3×	31	1.3k
Karim Salahshoor Iran	20	1.0k 1.4×	181 0.6×	500 1.7×	320 1.5×	181 0.9×	155	1.9k
Daniel Watzenig Austria	17	267 0.4×	452 1.4×	159 0.6×	99 0.5×	192 1.0×	132	1.0k
Rui Yuan China	21	1.0k 1.4×	221 0.7×	690 2.4×	231 1.1×	468 2.3×	122	1.7k
Jamie Coble United States	15	617 0.8×	89 0.3×	184 0.6×	191 0.9×	104 0.5×	77	1.1k
Matthew Daigle United States	22	1.1k 1.6×	271 0.9×	206 0.7×	338 1.5×	85 0.4×	91	1.8k
Carl S. Byington United States	22	1.1k 1.5×	144 0.5×	342 1.2×	123 0.6×	192 1.0×	71	1.5k
Fernando Figueroa United States	13	256 0.3×	203 0.6×	110 0.4×	114 0.5×	103 0.5×	92	738

Countries citing papers authored by Jingli Yang

Since Specialization

Citations

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

Fields of papers citing papers by Jingli Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingli Yang

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

Chen, Yinsheng, et al.. (2025). An active signal-noise decoupling network with superior noise generalisation for fault diagnosis of rotating machinery. Nondestructive Testing And Evaluation. 1–28.

Wang, Changdong, Xiaofei Liu, Jingli Yang, et al.. (2025). Addressing unknown faults diagnosis of transport ship propellers system based on adaptive evolutionary reconstruction metric network. Advanced Engineering Informatics. 65. 103287–103287. 9 indexed citations

Yang, Jingli, et al.. (2025). A joint collaborative adaptation network for fault diagnosis of rolling bearing under class imbalance and variable operating conditions. Advanced Engineering Informatics. 69. 103931–103931.

Yang, Jingli, et al.. (2025). A Few Shot Partial Discharge Diagnosis Method Based on Dual-Path Variational Autoencoder. 887–892. 1 indexed citations

Wang, Changdong, Huamin Jie, Jingli Yang, et al.. (2024). A multi-source domain feature-decision dual fusion adversarial transfer network for cross-domain anti-noise mechanical fault diagnosis in sustainable city. Information Fusion. 115. 102739–102739. 40 indexed citations

Gao, Tianyu, Jingli Yang, & Qing Tang. (2024). A multi-source domain information fusion network for rotating machinery fault diagnosis under variable operating conditions. Information Fusion. 106. 102278–102278. 92 indexed citations breakdown →

Wang, Changdong, et al.. (2024). Neural-transformer: A brain-inspired lightweight mechanical fault diagnosis method under noise. Reliability Engineering & System Safety. 251. 110409–110409. 61 indexed citations breakdown →

Wang, Changdong, et al.. (2024). An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain. Advanced Engineering Informatics. 62. 102682–102682. 47 indexed citations breakdown →

Wang, Changdong, et al.. (2024). A lightweight progressive joint transfer ensemble network inspired by the Markov process for imbalanced mechanical fault diagnosis. Mechanical Systems and Signal Processing. 224. 111994–111994. 40 indexed citations

10.

Chen, Yinsheng, et al.. (2024). A Bearing Fault Diagnosis Method Based on Vibration Signal Extension and Time–Frequency Information Fusion Network Under Small Sample Conditions. IEEE Sensors Journal. 24(17). 27712–27727. 8 indexed citations

11.

Chen, Yinsheng, et al.. (2024). FMRGAN: Feature Mapping Reconstruction GAN for Rolling Bearings Fault Diagnosis Under Limited Data Condition. IEEE Sensors Journal. 24(15). 25116–25131. 15 indexed citations

12.

Li, Yafeng, et al.. (2024). New Approach to SCADA System Screen Configuration Based on the Model of Oil and Gas Pipeline Network. SHILAP Revista de lepidopterología. 11. 1 indexed citations

13.

Gao, Tianyu, et al.. (2024). A domain feature decoupling network for rotating machinery fault diagnosis under unseen operating conditions. Reliability Engineering & System Safety. 252. 110449–110449. 37 indexed citations

14.

Gao, Tianyu, et al.. (2023). An Incipient Fault Diagnosis Method Based on Complex Convolutional Self-Attention Autoencoder for Analog Circuits. IEEE Transactions on Industrial Electronics. 71(8). 9727–9736. 18 indexed citations

15.

Gao, Tianyu, Jingli Yang, & Shouda Jiang. (2022). A Novel Fault Detection Model Based on Vector Quantization Sparse Autoencoder for Nonlinear Complex Systems. IEEE Transactions on Industrial Informatics. 19(3). 2693–2704. 19 indexed citations

16.

Yang, Jingli, Tianyu Gao, & Shouda Jiang. (2022). Energy-Based Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Electro-Mechanical Systems. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 6 indexed citations

17.

Yang, Jingli, et al.. (2021). An efficient method for imbalanced fault diagnosis of rotating machinery. Measurement Science and Technology. 32(11). 115025–115025. 15 indexed citations

18.

Yang, Jingli, et al.. (2020). Fault Diagnosis of Rotating Machinery Based on One-Dimensional Deep Residual Shrinkage Network with a Wide Convolution Layer. Shock and Vibration. 2020. 1–12. 16 indexed citations

19.

Gao, Tianyu, Jingli Yang, & Shouda Jiang. (2020). A Novel Incipient Fault Diagnosis Method for Analog Circuits Based on GMKL-SVM and Wavelet Fusion Features. IEEE Transactions on Instrumentation and Measurement. 70. 1–15. 70 indexed citations

20.

Yang, Jingli, et al.. (2016). A Small Target Detection Method based on Human Visual System and Confidence Measurement.. J. Inf. Hiding Multim. Signal Process.. 7. 448–459. 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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