Haiping Zhu

2.8k total citations · 2 hit papers
80 papers, 2.2k citations indexed

About

Haiping Zhu is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Haiping Zhu has authored 80 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Control and Systems Engineering, 24 papers in Industrial and Manufacturing Engineering and 22 papers in Mechanical Engineering. Recurrent topics in Haiping Zhu's work include Machine Fault Diagnosis Techniques (22 papers), Reliability and Maintenance Optimization (18 papers) and Engineering Diagnostics and Reliability (11 papers). Haiping Zhu is often cited by papers focused on Machine Fault Diagnosis Techniques (22 papers), Reliability and Maintenance Optimization (18 papers) and Engineering Diagnostics and Reliability (11 papers). Haiping Zhu collaborates with scholars based in China, United States and Hong Kong. Haiping Zhu's co-authors include Jun Wu, Xinyu Shao, Yiwei Cheng, Kui Hu, Yuanhang Wang, Manxi Lin, Fanmao Liu, Jiaxin Cheng, Cong Zhang and Siu Wing Or and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Expert Systems with Applications.

In The Last Decade

Haiping Zhu

77 papers receiving 2.1k citations

Hit Papers

Data-driven remaining useful life prediction via multiple... 2019 2026 2021 2023 2019 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiping Zhu China 22 1.3k 730 437 431 350 80 2.2k
Linxia Liao United States 12 1.8k 1.4× 825 1.1× 487 1.1× 709 1.6× 244 0.7× 19 2.5k
Brigitte Chebel‐Morello France 14 1.3k 1.0× 757 1.0× 401 0.9× 308 0.7× 154 0.4× 33 1.7k
Xiaohang Jin China 20 1.6k 1.2× 853 1.2× 365 0.8× 364 0.8× 131 0.4× 54 2.1k
Hongfu Zuo China 20 747 0.6× 495 0.7× 297 0.7× 314 0.7× 173 0.5× 163 1.7k
Ningyun Lu China 33 2.7k 2.1× 1.3k 1.7× 246 0.6× 435 1.0× 281 0.8× 166 3.5k
Tangbin Xia China 35 1.4k 1.1× 653 0.9× 343 0.8× 1.3k 3.1× 783 2.2× 174 3.4k
Ian Jennions United Kingdom 26 703 0.5× 417 0.6× 153 0.4× 278 0.6× 209 0.6× 147 2.0k
Andrew Hess United States 16 1.2k 0.9× 336 0.5× 238 0.5× 393 0.9× 108 0.3× 47 1.7k
Ningbo Li China 7 2.8k 2.2× 1.6k 2.2× 754 1.7× 1.0k 2.3× 196 0.6× 16 3.5k

Countries citing papers authored by Haiping Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Haiping Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiping Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiping Zhu. A scholar is included among the top collaborators of Haiping Zhu 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 Haiping Zhu. Haiping Zhu 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.
Wu, Jun, et al.. (2025). Health evaluation techniques towards rotating machinery: A systematic literature review and implementation guideline. Reliability Engineering & System Safety. 260. 110924–110924. 7 indexed citations
4.
Wu, Jun, et al.. (2024). Health assessment of wind turbine gearbox via parallel ensemble and fuzzy derivation collaboration approach. Advanced Engineering Informatics. 62. 102576–102576. 13 indexed citations
5.
Zhu, Haiping, et al.. (2024). Deep learning-based Remaining Useful Life Prediction of Lithium-ion Battery Considering Two-phase Aging Process. Journal of The Electrochemical Society. 171(12). 120529–120529. 1 indexed citations
6.
Wu, Jun, et al.. (2024). Multimodel Fusion Health Assessment for Multistate Industrial Robot via Fuzzy Deep Residual Shrinkage Network and Versatile Cluster. IEEE Transactions on Fuzzy Systems. 32(8). 4735–4746. 7 indexed citations
7.
Zhu, Haiping, et al.. (2024). A multi-objective Immune Balancing Algorithm for Distributed Heterogeneous Batching-integrated Assembly Hybrid Flowshop Scheduling. Expert Systems with Applications. 259. 125288–125288. 9 indexed citations
8.
Cheng, Yiwei, et al.. (2023). A novel hierarchical structural pruning-multiscale feature fusion residual network for intelligent fault diagnosis. Mechanism and Machine Theory. 184. 105292–105292. 15 indexed citations
9.
Chen, Zhipeng, et al.. (2023). Health Indicator Similarity Analysis-Based Adaptive Degradation Trend Detection for Bearing Time-to-Failure Prediction. Electronics. 12(7). 1569–1569. 2 indexed citations
10.
Wu, Xiangyang, Haibin Shi, & Haiping Zhu. (2023). Fault Diagnosis for Rolling Bearings Based on Multiscale Feature Fusion Deep Residual Networks. Electronics. 12(3). 768–768. 15 indexed citations
11.
Wu, Jun, et al.. (2023). Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios. Journal of Manufacturing Systems. 70. 382–394. 27 indexed citations
12.
Chen, Zhipeng, et al.. (2022). Stress–strain-based crack damage detection of composite structures using selective kernel convolutional networks and continuous wavelet transform. Structural Health Monitoring. 22(4). 2785–2799. 6 indexed citations
13.
Hu, Kui, Yiwei Cheng, Jun Wu, Haiping Zhu, & Xinyu Shao. (2021). Deep Bidirectional Recurrent Neural Networks Ensemble for Remaining Useful Life Prediction of Aircraft Engine. IEEE Transactions on Cybernetics. 53(4). 2531–2543. 62 indexed citations
14.
Cheng, Yiwei, Kui Hu, Jun Wu, Haiping Zhu, & Xinyu Shao. (2021). Autoencoder Quasi-Recurrent Neural Networks for Remaining Useful Life Prediction of Engineering Systems. IEEE/ASME Transactions on Mechatronics. 27(2). 1081–1092. 58 indexed citations
15.
Wu, Jun, et al.. (2020). Ensemble Generalized Multiclass Support-Vector-Machine-Based Health Evaluation of Complex Degradation Systems. IEEE/ASME Transactions on Mechatronics. 25(5). 2230–2240. 60 indexed citations
16.
Zhu, Haiping, Jiaxin Cheng, Cong Zhang, Jun Wu, & Xinyu Shao. (2020). Stacked pruning sparse denoising autoencoder based intelligent fault diagnosis of rolling bearings. Applied Soft Computing. 88. 106060–106060. 115 indexed citations
17.
Cheng, Yiwei, Haiping Zhu, Kui Hu, et al.. (2019). Reliability prediction of machinery with multiple degradation characteristics using double-Wiener process and Monte Carlo algorithm. Mechanical Systems and Signal Processing. 134. 106333–106333. 50 indexed citations
18.
Zhu, Haiping, et al.. (2015). An Improved RSSI-Based Positioning Method Using Sector Transmission Model and Distance Optimization Technique. International Journal of Distributed Sensor Networks. 11(9). 587195–587195. 17 indexed citations
19.
Zhu, Haiping. (2012). Multi-project robust scheduling based on critical chain. Computer Integrated Manufacturing Systems. 2 indexed citations
20.
Zhang, Guojun, et al.. (2007). Manufacturing system modeling and performance evaluation based on improved stochastic statechart. Frontiers of Mechanical Engineering in China. 2(4). 453–458. 2 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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