Chengning Zhou

704 total citations · 1 hit paper
21 papers, 559 citations indexed

About

Chengning Zhou is a scholar working on Statistics, Probability and Uncertainty, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Chengning Zhou has authored 21 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics, Probability and Uncertainty, 8 papers in Mechanical Engineering and 6 papers in Civil and Structural Engineering. Recurrent topics in Chengning Zhou's work include Probabilistic and Robust Engineering Design (10 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Machine Fault Diagnosis Techniques (6 papers). Chengning Zhou is often cited by papers focused on Probabilistic and Robust Engineering Design (10 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Machine Fault Diagnosis Techniques (6 papers). Chengning Zhou collaborates with scholars based in China, Canada and Australia. Chengning Zhou's co-authors include Ning‐Cong Xiao, Ming J. Zuo, Kai Yuan, Ke Feng, Qing Ni, Jinchen Ji, Dongdong Wei, Kesheng Wang, Wei Gao and Peng Chen and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Chengning Zhou

19 papers receiving 549 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 new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis

2017 260 citations Ning‐Cong Xiao, Ming J. Zuo 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
Chengning Zhou China	9	384	222	198	111	110	21	559
Junfu Zhang China	9	376 1.0×	145 0.7×	194 1.0×	104 0.9×	142 1.3×	32	582
Meide Yang China	11	472 1.2×	272 1.2×	209 1.1×	60 0.5×	91 0.8×	17	550
Changcong Zhou China	18	628 1.6×	208 0.9×	370 1.9×	78 0.7×	232 2.1×	70	785
Shui Yu China	14	424 1.1×	169 0.8×	180 0.9×	41 0.4×	128 1.2×	23	536
Jinhui Wu China	9	260 0.7×	126 0.6×	111 0.6×	97 0.9×	83 0.8×	18	388
Guo‐Dong Lu China	6	472 1.2×	179 0.8×	322 1.6×	41 0.4×	98 0.9×	8	551
Younès Aoues France	13	476 1.2×	282 1.3×	335 1.7×	37 0.3×	101 0.9×	29	680
Chuang Xiong China	9	370 1.0×	155 0.7×	218 1.1×	30 0.3×	90 0.8×	12	506
Harok Bae United States	11	525 1.4×	204 0.9×	265 1.3×	36 0.3×	73 0.7×	44	631
André Jacomel Torii Brazil	18	314 0.8×	257 1.2×	589 3.0×	66 0.6×	157 1.4×	44	794

Countries citing papers authored by Chengning Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Chengning Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengning Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Chengning Zhou. A scholar is included among the top collaborators of Chengning Zhou 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 Chengning Zhou. Chengning Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Yazheng, et al.. (2025). Multi-channel fusion scale transformed signals with magnetic leakage for damage detection in steel wire ropes. Nondestructive Testing And Evaluation. 1–26. 1 indexed citations

Chen, Peng, et al.. (2025). Progressive contrastive representation learning for defect diagnosis in aluminum disk substrates with a bio-inspired vision sensor. Expert Systems with Applications. 289. 128305–128305. 8 indexed citations

Chen, Peng, et al.. (2025). Physics-aware dynamic spectral modeling integrated with weakly supervised few-shot learning for planetary gearbox fault diagnosis. Measurement Science and Technology. 36(9). 96106–96106. 1 indexed citations

Chen, Peng, et al.. (2025). Adaptive signal regime for identifying transient shifts: A novel approach toward fault diagnosis in wind turbine systems. Ocean Engineering. 325. 120798–120798. 8 indexed citations

Chen, Peng, et al.. (2024). Self-Supervised Transfer Learning for Remote Wear Evaluation in Machine Tool Elements With Imaging Transmission Attenuation. IEEE Internet of Things Journal. 11(13). 23045–23054. 16 indexed citations

Chen, Peng, et al.. (2024). Markov Latent Frequency Transition Analysis for Robust Bearing Diagnosis in Transient Noise Scenarios. 1–8.

Liu, Kang, Chengning Zhou, Xueying Chen, & Fu Wang. (2024). An Inductance-Capacitance Measurement Method Based On Auto-Balancing Bridge. Journal of Physics Conference Series. 2762(1). 12015–12015.

He, Pan, et al.. (2024). A Fault Diagnosis Method for Rectifier-Filter Circuit Integrating EEMD Algorithm and Transformer Network. Journal of Physics Conference Series. 2762(1). 12054–12054. 2 indexed citations

Zhou, Han, et al.. (2024). Rotating Machinery Fault Diagnosis Method Based on Temporal–Spatial Vibration Feature Fusion Extraction. IEEE Sensors Journal. 25(1). 1184–1197. 3 indexed citations

10.

Chen, Peng, et al.. (2024). Markov Modeling of Signal Condition Transitions for Bearing Diagnostics Under External Interference Conditions. IEEE Transactions on Instrumentation and Measurement. 73. 1–8. 10 indexed citations

11.

Zhou, Chengning, et al.. (2023). Active learning-based structural reliability evaluation Kriging model and sequential importance sampling. Structures. 56. 104956–104956. 6 indexed citations

12.

Zhou, Chengning, et al.. (2022). An adaptive Kriging-based structural reliability analysis method combing dichotomy and improved convergence criterion. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 237(6). 1114–1131. 1 indexed citations

13.

Zhou, Chengning, Ning‐Cong Xiao, Ming J. Zuo, & Wei Gao. (2021). An improved Kriging-based approach for system reliability analysis with multiple failure modes. Engineering With Computers. 38(S3). 1813–1833. 23 indexed citations

14.

Zhou, Chengning, Ning‐Cong Xiao, Ming J. Zuo, & Wei Gao. (2021). An Active Kriging-Based Learning Method for Hybrid Reliability Analysis. IEEE Transactions on Reliability. 71(4). 1567–1576. 13 indexed citations

15.

Zhou, Chengning, Ning‐Cong Xiao, Ming J. Zuo, Wei Gao, & Qing Li. (2020). An Effective Kriging-based Approach for System Reliability Analysis with Multiple Failure Modes. 1–6. 1 indexed citations

16.

Li, Zhan, et al.. (2020). One-Class Support Vector Machine Based Schemes for Structural Reliability Assessment Under Imbalanced Sample Conditions. IEEE Access. 8. 184350–184359. 8 indexed citations

17.

Zhou, Chengning, Ning‐Cong Xiao, Ming J. Zuo, & Mei Chen. (2019). AK-P: An Active Learning Method Combing Kriging and Probability Density Function for Reliability Analysis. DEStech Transactions on Computer Science and Engineering. 1 indexed citations

18.

Zhou, Chengning, Ning‐Cong Xiao, Ming J. Zuo, & Xiaoxu Huang. (2019). AK-PDF: An active learning method combining kriging and probability density function for efficient reliability analysis. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 234(3). 536–549. 18 indexed citations

19.

Xiao, Ning‐Cong, Kai Yuan, & Chengning Zhou. (2019). Adaptive kriging-based efficient reliability method for structural systems with multiple failure modes and mixed variables. Computer Methods in Applied Mechanics and Engineering. 359. 112649–112649. 123 indexed citations

20.

Xiao, Ning‐Cong, Ming J. Zuo, & Chengning Zhou. (2017). A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis. Reliability Engineering & System Safety. 169. 330–338. 260 indexed citations breakdown →

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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