Shiyu Zhou

6.6k total citations · 2 hit papers
220 papers, 4.9k citations indexed

About

Shiyu Zhou is a scholar working on Control and Systems Engineering, Mechanical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Shiyu Zhou has authored 220 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Control and Systems Engineering, 44 papers in Mechanical Engineering and 42 papers in Statistics, Probability and Uncertainty. Recurrent topics in Shiyu Zhou's work include Advanced Statistical Process Monitoring (31 papers), Manufacturing Process and Optimization (26 papers) and Fault Detection and Control Systems (26 papers). Shiyu Zhou is often cited by papers focused on Advanced Statistical Process Monitoring (31 papers), Manufacturing Process and Optimization (26 papers) and Fault Detection and Control Systems (26 papers). Shiyu Zhou collaborates with scholars based in United States, China and Hong Kong. Shiyu Zhou's co-authors include Jianjun Shi, Yu Ding, Yongping Pu, Qiang Huang, Qiang Zhou, Li Zeng, Yong Chen, Junbo Son, Xiaoxia Le and Yucheng Sun and has published in prestigious journals such as Advanced Materials, Applied Physics Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Shiyu Zhou

203 papers receiving 4.8k citations

Hit Papers

Recent Progress in Smart Polymeric Gel‐Based Information ... 2022 2026 2023 2024 2022 2022 50 100 150 200 250
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.

  1. Recent Progress in Smart Polymeric Gel‐Based Information Storage for Anti‐Counterfeiting
    2022 268 citations Shiyu Zhou et al. profile →
  2. Copper-containing nanoparticles: Mechanism of antimicrobial effect and application in dentistry-a narrative review
    2022 167 citations Shiyu Zhou et al. profile →

Peers

Shiyu Zhou
Ming Dong China
Yimin Zhang China
Chao Hu United States
Min Zhang China
Xuefeng Yan China
Wei Li China
Genichi Taguchi United States
Venkat Venkatasubramanian United States
Raghunathan Rengaswamy United States
Xiaoyang Li China
Ming Dong China
Shiyu Zhou
Citations per year, relative to Shiyu Zhou Shiyu Zhou (= 1×) peers Ming Dong

Countries citing papers authored by Shiyu Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Shiyu Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiyu Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Shiyu Zhou. A scholar is included among the top collaborators of Shiyu 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 Shiyu Zhou. Shiyu Zhou 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.
2.
Li, Yanqin, et al.. (2024). Neutrophil/Lymphocyte Ratio and All-Cause Mortality in Diabetic Kidney Disease: A Retrospective Cohort Study. Journal of Inflammation Research. Volume 17. 10739–10753. 3 indexed citations
3.
4.
Liu, Kaibo, et al.. (2024). An Integrated Uncertainty Quantification Model for Longitudinal and Time-to-Event Data. IEEE Transactions on Automation Science and Engineering. 22. 5863–5876. 3 indexed citations
5.
Sun, Jinwen, Shiyu Zhou, Dharmaraj Veeramani, & Kaibo Liu. (2024). Prediction of Condition Monitoring Signals Using Scalable Pairwise Gaussian Processes and Bayesian Model Averaging. IEEE Transactions on Automation Science and Engineering. 22. 2746–2757. 1 indexed citations
6.
Veeramani, Dharmaraj, et al.. (2023). Confidently extracting hierarchical taxonomy information from unstructured maintenance records of industrial equipment. International Journal of Production Research. 61(23). 8159–8178. 6 indexed citations
7.
Veeramani, Dharmaraj, et al.. (2023). Identifying equipment health status from maintenance records using Lexicon based Unsupervised Sentiment Analysis Adjusted for Negation (LUSAA-N). Computers & Industrial Engineering. 186. 109693–109693. 2 indexed citations
8.
Zhou, Shiyu, et al.. (2023). Partially observable Markov decision process-based optimal maintenance planning with time-dependent observations. European Journal of Operational Research. 311(2). 533–544. 14 indexed citations
9.
Zhou, Shiyu, Wenjun Yan, Min Ling, & Chengdu Liang. (2023). High-response H2 sensing performances of ZnO nanosheets modulated by oxygen vacancies. Inorganic Chemistry Frontiers. 10(11). 3255–3262. 18 indexed citations
10.
Zhou, Shiyu, et al.. (2022). HMM-Based Joint Modeling of Condition Monitoring Signals and Failure Event Data for Prognosis. IEEE Transactions on Reliability. 72(3). 878–888. 14 indexed citations
11.
Zhou, Shiyu, et al.. (2021). A data-driven recurrent event model for system degradation with imperfect maintenance actions. IISE Transactions. 1–23. 9 indexed citations
12.
Lee, Jaesung, Chao Wang, Xiaoyu Sui, Shiyu Zhou, & Junhong Chen. (2021). Landmark-embedded Gaussian process with applications for functional data modeling. IISE Transactions. 54(11). 1033–1046. 3 indexed citations
13.
Zhou, Shiyu, et al.. (2021). Stochastic prognostics under multiple time-varying environmental factors. Reliability Engineering & System Safety. 215. 107877–107877. 12 indexed citations
14.
Veeramani, Dharmaraj, et al.. (2021). A Custom Word Embedding Model for Clustering of Maintenance Records. IEEE Transactions on Industrial Informatics. 18(2). 816–826. 15 indexed citations
15.
Son, Junbo, Qiang Zhou, Shiyu Zhou, & Mutasim Salman. (2015). Prediction of the failure interval with maximum power based on the remaining useful life distribution. IIE Transactions. 47(10). 1072–1087. 5 indexed citations
16.
Zhang, Aihua, Xiaohang Zhou, Hongwei Zhao, et al.. (2014). Rapidly improved determination of metabolites from biological data sets using the high-efficient TransOmics tool. Molecular BioSystems. 10(8). 2160–2165. 11 indexed citations
17.
Chen, Nan & Shiyu Zhou. (2010). Simulation-based estimation of cycle time using quantile regression. IIE Transactions. 43(3). 176–191. 10 indexed citations
18.
Shi, Jianjun & Shiyu Zhou. (2009). Quality control and improvement for multistage systems: A survey. IIE Transactions. 41(9). 744–753. 206 indexed citations
19.
Zhou, Shiyu, et al.. (2005). Cycle-based signal monitoring using a directionally variant multivariate control chart system. IIE Transactions. 37(11). 971–982. 13 indexed citations
20.
Zhou, Shiyu & Jionghua Jin. (2005). Automatic feature selection for unsupervised clustering of cycle-based signals in manufacturing processes. IIE Transactions. 37(6). 569–584. 24 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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