Hanling Mao

1.0k total citations
73 papers, 698 citations indexed

About

Hanling Mao is a scholar working on Mechanical Engineering, Mechanics of Materials and Control and Systems Engineering. According to data from OpenAlex, Hanling Mao has authored 73 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Mechanical Engineering, 34 papers in Mechanics of Materials and 31 papers in Control and Systems Engineering. Recurrent topics in Hanling Mao's work include Machine Fault Diagnosis Techniques (24 papers), Ultrasonics and Acoustic Wave Propagation (23 papers) and Non-Destructive Testing Techniques (23 papers). Hanling Mao is often cited by papers focused on Machine Fault Diagnosis Techniques (24 papers), Ultrasonics and Acoustic Wave Propagation (23 papers) and Non-Destructive Testing Techniques (23 papers). Hanling Mao collaborates with scholars based in China and United Kingdom. Hanling Mao's co-authors include Zhenfeng Huang, Xinxin Li, Aisong Qin, Weili Tang, Zhenyong Wu, Qin Hu, Yuhua Zhang, Changming Zhu, Zi–Qiang Lang and Hatim Laalej and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Journal of Sound and Vibration.

In The Last Decade

Hanling Mao

66 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanling Mao China 16 328 276 222 161 111 73 698
Yang Zhao-jian China 17 360 1.1× 262 0.9× 165 0.7× 159 1.0× 65 0.6× 60 726
W. Głowacz Poland 11 409 1.2× 553 2.0× 196 0.9× 79 0.5× 147 1.3× 34 853
Len Gelman United Kingdom 18 370 1.1× 502 1.8× 252 1.1× 171 1.1× 100 0.9× 79 831
Yuan Wei China 16 410 1.3× 435 1.6× 169 0.8× 94 0.6× 75 0.7× 69 792
Guojun Qin China 13 213 0.6× 365 1.3× 150 0.7× 73 0.5× 116 1.0× 52 610
Shengyao Gao China 7 227 0.7× 454 1.6× 186 0.8× 90 0.6× 50 0.5× 10 682
Zahoor Ahmad South Korea 18 310 0.9× 315 1.1× 158 0.7× 270 1.7× 85 0.8× 44 788
Jianhua Zhong China 14 316 1.0× 522 1.9× 170 0.8× 95 0.6× 64 0.6× 39 745
Senxiang Lu China 16 578 1.8× 134 0.5× 274 1.2× 136 0.8× 97 0.9× 42 883
Xianrong Qin China 16 287 0.9× 334 1.2× 199 0.9× 195 1.2× 30 0.3× 60 715

Countries citing papers authored by Hanling Mao

Since Specialization
Citations

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

Fields of papers citing papers by Hanling Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanling Mao

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

All Works

20 of 20 papers shown
1.
Mao, Hanling, et al.. (2025). Uniform bullseye-guided contrastive learning with time-frequency strong augmentation for long-tailed fault diagnosis. Mechanical Systems and Signal Processing. 230. 112639–112639.
2.
Gong, Hai, et al.. (2024). Numerical simulation and experimental study on nonlinear ultrasonic characterization of graphite size in nodular cast iron. Applied Acoustics. 227. 110265–110265. 3 indexed citations
3.
4.
Tang, Weili, et al.. (2024). Nonlinear frequency response function: experimental study on gearbox fault detection under step load. Measurement Science and Technology. 35(7). 76111–76111. 1 indexed citations
5.
Mao, Hanling, et al.. (2024). Contrastive regularization guided label refurbishment for fault diagnosis under label noise. Advanced Engineering Informatics. 61. 102478–102478. 13 indexed citations
6.
Ding, Jiang, et al.. (2023). Numerical calculation of sugarcane crushing process based on Smooth Particle Hydrodynamics. Food and Bioproducts Processing. 141. 107–115.
7.
Mao, Hanling, et al.. (2023). Parametric identification of ultrasonic guided wave aliasing modes based on dispersion effect. Measurement. 218. 113162–113162. 5 indexed citations
8.
Li, Xinxin, et al.. (2023). Enhanced Periodic Group Sparsity via Adaptive Period Estimation and Parameter Optimization for Rolling Bearing Fault Diagnosis. IEEE Sensors Journal. 24(3). 3202–3212. 2 indexed citations
9.
Qin, Aisong, et al.. (2023). Generalized Transfer Extreme Learning Machine for Unsupervised Cross-Domain Fault Diagnosis With Small and Imbalanced Samples. IEEE Sensors Journal. 23(14). 15831–15843. 11 indexed citations
10.
Li, Xinxin, et al.. (2023). Low-rank and periodic group sparse based signal denoising method for rolling bearing fault feature extraction. Measurement Science and Technology. 34(11). 115012–115012. 6 indexed citations
11.
Mao, Hanling, et al.. (2023). Performance assessment of hydropower generator unit with the nonlinear transmissibility function method. Measurement Science and Technology. 35(1). 15028–15028. 2 indexed citations
12.
Li, Xinxin, et al.. (2023). Improved sparse low-rank model via periodic overlapping group shrinkage and truncated nuclear norm for rolling bearing fault diagnosis. Measurement Science and Technology. 34(6). 65009–65009. 8 indexed citations
13.
Huang, Zhenfeng, et al.. (2023). Multiscale Margin Disparity Adversarial Network Transfer Learning for Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 10 indexed citations
14.
Qin, Aisong, et al.. (2022). Cross-Domain Fault Diagnosis Based on Improved Multi-Scale Fuzzy Measure Entropy and Enhanced Joint Distribution Adaptation. IEEE Sensors Journal. 22(10). 9649–9664. 21 indexed citations
15.
Huang, Zhenfeng, et al.. (2022). Iterative reassignment: An energy-concentrated time-frequency analysis method. Mechanical Systems and Signal Processing. 182. 109579–109579. 9 indexed citations
16.
Tang, Weili, Hanling Mao, Fengshou Gu, et al.. (2022). The estimation method of normalized Nonlinear Output Frequency Response Functions with only response signals under stochastic excitation. Communications in Nonlinear Science and Numerical Simulation. 111. 106416–106416. 7 indexed citations
17.
Qin, Aisong, Hanling Mao, Qin Hu, & Qinghua Zhang. (2021). Bearing Fault Diagnosis Method Based on Ensemble Composite Multi-Scale Dispersion Entropy and Density Peaks Clustering. IEEE Access. 9. 24373–24389. 11 indexed citations
18.
Mao, Hanling, et al.. (2020). Research on NOFRF Entropy-Based Detection Method for Early Damage of Pillar Porcelain Insulator. Shock and Vibration. 2020. 1–11. 4 indexed citations
19.
20.
Zhang, Yuhua, et al.. (2018). The fatigue damage evaluation of gear in sugarcane presser using higher order ultrasonic nonlinear coefficients. Results in Physics. 10. 601–606. 10 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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