Zitong Zhou

3.1k total citations · 2 hit papers
74 papers, 2.4k citations indexed

About

Zitong Zhou is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Zitong Zhou has authored 74 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Control and Systems Engineering, 29 papers in Mechanical Engineering and 17 papers in Mechanics of Materials. Recurrent topics in Zitong Zhou's work include Machine Fault Diagnosis Techniques (49 papers), Fault Detection and Control Systems (24 papers) and Gear and Bearing Dynamics Analysis (19 papers). Zitong Zhou is often cited by papers focused on Machine Fault Diagnosis Techniques (49 papers), Fault Detection and Control Systems (24 papers) and Gear and Bearing Dynamics Analysis (19 papers). Zitong Zhou collaborates with scholars based in China, Australia and Czechia. Zitong Zhou's co-authors include Jinglong Chen, Shuilong He, Tongyang Pan, Tianci Zhang, Yong Feng, Yanyang Zi, Jun Pan, Enyong Xu, Shen Liu and Zhen Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and IEEE Transactions on Industrial Electronics.

In The Last Decade

Zitong Zhou

69 papers receiving 2.3k citations

Hit Papers

LiftingNet: A Novel Deep Learning Network With Layerwise ... 2017 2026 2020 2023 2017 2021 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. LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification
    2017 257 citations Yanyang Zi, Jinglong Chen et al. profile →
  2. Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis
    2021 184 citations Yong Feng, Jinglong Chen et al. ISA Transactions profile →

Peers

Zitong Zhou
Shuilong He China
Guolin He China
Zong Meng China
Liuyang Song China
Guangrui Wen China
Yuanhang Chen China
Weining Lu China
Zhiyi He China
Shuilong He China
Zitong Zhou
Citations per year, relative to Zitong Zhou Zitong Zhou (= 1×) peers Shuilong He

Countries citing papers authored by Zitong Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Zitong Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zitong Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Zitong Zhou. A scholar is included among the top collaborators of Zitong 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 Zitong Zhou. Zitong 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.
Chen, Jinglong, et al.. (2025). TFD-former: Time-frequency domain fusion decoders for effective and robust fault diagnosis under time-varying speeds. Knowledge-Based Systems. 316. 113410–113410. 2 indexed citations
2.
Chen, Jinglong, et al.. (2025). Domain anchor-guided cluster matching for intelligent fault diagnosis under distribution discrepancy and category shift. Expert Systems with Applications. 281. 127677–127677.
3.
Jiang, Xiaohan, Junjie Zhang, Zitong Zhou, et al.. (2024). Fluorescence sensing of glutathione based on the in-situ growth of carbon dots-manganese dioxide nanosheets. SHILAP Revista de lepidopterología. 17. 100345–100345.
4.
Zhang, Zhipeng, et al.. (2024). Data-driven unsupervised anomaly detection of manufacturing processes with multi-scale prototype augmentation and multi-sensor data. Journal of Manufacturing Systems. 77. 26–39. 3 indexed citations
5.
6.
Xiang, Cong, Zitong Zhou, Xiaoyu Zhu, et al.. (2024). Efficient synergism of concentric ring structures and carbon dots for enhanced methanol electro-oxidation. RSC Advances. 14(41). 30091–30101. 1 indexed citations
7.
Zhou, Zitong, et al.. (2024). Research on the Application of Smart Elderly Care Services in Home Elderly Care. SHILAP Revista de lepidopterología. 200. 2017–2017.
8.
Zhang, Tianci, et al.. (2023). Feature-level consistency regularized Semi-supervised scheme with data augmentation for intelligent fault diagnosis under small samples. Mechanical Systems and Signal Processing. 203. 110747–110747. 25 indexed citations
9.
Zhou, Zitong, et al.. (2023). A Sensor-Based Modified FMD Method to Identify Fault Feature for Mechanical Fault Diagnosis of Ship-Borne Antennae. IEEE Access. 11. 40018–40028. 8 indexed citations
10.
Zhou, Zitong, et al.. (2023). Application Of VR In the Field of Education. Highlights in Science Engineering and Technology. 68. 11–20. 2 indexed citations
11.
Chang, Yuanhong, Qiang Chen, Jinglong Chen, et al.. (2022). Intelligent fault diagnosis scheme via multi-module supervised-learning network with essential features capture-regulation strategy. ISA Transactions. 129(Pt B). 459–475. 10 indexed citations
12.
Zhou, Zitong, Shaohua Yan, Weisheng Zhao, & Qunwen Leng. (2022). Research progress of tunneling magnetoresistance sensor. Acta Physica Sinica. 71(5). 58504–58504. 10 indexed citations
13.
Shi, Zhen, Xuan Liu, Jinglong Chen, Yanyang Zi, & Zitong Zhou. (2022). A multi-branch redundant adversarial net for intelligent fault diagnosis of multiple components under drastically variable speeds. ISA Transactions. 129(Pt A). 540–554. 9 indexed citations
14.
Chen, Zhenyi, et al.. (2021). Imbalanced fault identification via embedding-augmented Gaussian prototype network with meta-learning perspective. Measurement Science and Technology. 33(5). 55102–55102. 7 indexed citations
15.
Lv, Haixin, Qian Liu, Jinglong Chen, et al.. (2021). Multi-Frequency Augmentation framework via information active capture for machinery intelligent fault diagnosis. ISA Transactions. 126. 460–471. 5 indexed citations
16.
Feng, Yong, Jinglong Chen, Tianci Zhang, et al.. (2021). Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis. ISA Transactions. 120. 383–401. 184 indexed citations breakdown →
17.
Liu, Shen, Jinglong Chen, Shuilong He, Zhen Shi, & Zitong Zhou. (2021). Subspace Network with Shared Representation learning for intelligent fault diagnosis of machine under speed transient conditions with few samples. ISA Transactions. 128(Pt A). 531–544. 97 indexed citations
18.
Lv, Haixin, et al.. (2020). SDA: Regularization with Cut-Flip and Mix-Normal for machinery fault diagnosis under small dataset. ISA Transactions. 111. 337–349. 25 indexed citations
19.
20.
Zhao, Jia, et al.. (2016). Weighted Immunization Strategy on Real Networks. 1 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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