Qi Zhou

5.1k total citations · 1 hit paper
151 papers, 3.8k citations indexed

About

Qi Zhou is a scholar working on Computational Theory and Mathematics, Mechanical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Qi Zhou has authored 151 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computational Theory and Mathematics, 61 papers in Mechanical Engineering and 58 papers in Statistics, Probability and Uncertainty. Recurrent topics in Qi Zhou's work include Advanced Multi-Objective Optimization Algorithms (67 papers), Probabilistic and Robust Engineering Design (58 papers) and Optimal Experimental Design Methods (39 papers). Qi Zhou is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (67 papers), Probabilistic and Robust Engineering Design (58 papers) and Optimal Experimental Design Methods (39 papers). Qi Zhou collaborates with scholars based in China, United States and Singapore. Qi Zhou's co-authors include Ping Jiang, Longchao Cao, Jiexiang Hu, Xinyu Shao, Leshi Shu, Xufeng Huang, Yahui Zhang, Zhongmei Gao, Yuansheng Cheng and Jingchang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Heat and Mass Transfer and Expert Systems with Applications.

In The Last Decade

Qi Zhou

144 papers receiving 3.7k 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.

Fault diagnosis of rotating machinery based on recurrent neural networks

2020 222 citations Yahui Zhang, Xufeng Huang et al. Measurement profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qi Zhou China	36	1.6k	1.2k	994	634	603	151	3.8k
Zhen Hu United States	35	805 0.5×	1.0k 0.9×	2.1k 2.1×	441 0.7×	493 0.8×	228	4.6k
G. Gary Wang Canada	17	651 0.4×	1.6k 1.4×	1.0k 1.0×	526 0.8×	677 1.1×	31	3.1k
John E. Renaud United States	39	1.1k 0.7×	2.4k 2.0×	1.8k 1.8×	836 1.3×	943 1.6×	164	5.1k
Michael Kokkolaras United States	28	606 0.4×	690 0.6×	625 0.6×	443 0.7×	283 0.5×	155	2.4k
Ruichen Jin United States	11	494 0.3×	1.6k 1.3×	1.3k 1.3×	265 0.4×	802 1.3×	20	2.8k
R. J. Yang United States	25	698 0.4×	1.4k 1.2×	1.2k 1.2×	284 0.4×	488 0.8×	81	3.3k
Sujin Bureerat Thailand	44	967 0.6×	2.2k 1.9×	407 0.4×	559 0.9×	160 0.3×	167	4.9k
Michel van Tooren Netherlands	27	594 0.4×	509 0.4×	630 0.6×	501 0.8×	157 0.3×	141	2.7k
Zuomin Dong Canada	29	556 0.3×	597 0.5×	221 0.2×	468 0.7×	245 0.4×	132	2.6k
Nantiwat Pholdee Thailand	37	647 0.4×	1.6k 1.3×	249 0.3×	432 0.7×	115 0.2×	94	3.5k

Countries citing papers authored by Qi Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Qi Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Zhou

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Luo, Shuyang, et al.. (2025). A dual-discriminator network based on Sobel gradient operator for digital twin-assisted fault diagnosis. Engineering Applications of Artificial Intelligence. 145. 110155–110155. 3 indexed citations

Luo, Shuyang, et al.. (2025). A limited annotated sample fault diagnosis algorithm based on nonlinear coupling self-attention mechanism. Engineering Failure Analysis. 174. 109474–109474. 3 indexed citations

Jin, Zhao, et al.. (2025). Multi-fidelity sequential optimisation method for metamaterials with negative Poisson's ratio. Journal of Engineering Design. 37(1). 1–32.

Tian, Long, et al.. (2025). A digital twin-assisted fault diagnosis framework based on denoising diffusion probabilistic model. Measurement. 258. 119396–119396.

Huang, Xufeng, Tingli Xie, Jinhong Wu, Qi Zhou, & Jiexiang Hu. (2024). Deep continuous convolutional networks for fault diagnosis. Knowledge-Based Systems. 292. 111623–111623. 22 indexed citations

Huang, Xufeng, et al.. (2024). Incremental learning with multi-fidelity information fusion for digital twin-driven bearing fault diagnosis. Engineering Applications of Artificial Intelligence. 133. 108212–108212. 24 indexed citations

Huang, Xufeng, Tingli Xie, & Qi Zhou. (2024). Digital Twin-Assisted Bearing Fault Diagnosis Using Multi-Fidelity Incremental Learning. 9. 184–190. 1 indexed citations

Cao, Longchao, et al.. (2024). In-situ monitoring of the small changes in process parameters with multi-sensor fusion during LPBF. Measurement Science and Technology. 35(10). 106114–106114. 3 indexed citations

Shu, Leshi, et al.. (2024). Real-time tracking method for motion spatter in high-power laser welding of stainless steel plate based on a lightweight deep learning model. Expert Systems with Applications. 254. 124386–124386. 5 indexed citations

10.

Li, Jingchang, Jiexiang Hu, Qi Zhou, & Yahui Zhang. (2024). Transfer learning-based quality monitoring of laser powder bed fusion across materials. Expert Systems with Applications. 252. 124150–124150. 8 indexed citations

11.

Wang, Yanzhi, et al.. (2024). Adaptive Knowledge Distillation-Based Lightweight Intelligent Fault Diagnosis Framework in IoT Edge Computing. IEEE Internet of Things Journal. 11(13). 23156–23169. 22 indexed citations

12.

Lin, Quan, et al.. (2023). A multi-objective bayesian optimization approach based on variable-fidelity multi-output metamodeling. Structural and Multidisciplinary Optimization. 66(5). 10 indexed citations

13.

Lin, Quan, Jiexiang Hu, & Qi Zhou. (2023). Parallel multi-objective Bayesian optimization approaches based on multi-fidelity surrogate modeling. Aerospace Science and Technology. 143. 108725–108725. 10 indexed citations

14.

Wang, Shuo, et al.. (2022). Modified Multifidelity Surrogate Model Based on Radial Basis Function with Adaptive Scale Factor. Chinese Journal of Mechanical Engineering. 35(1). 12 indexed citations

15.

Lin, Quan, et al.. (2022). A multi-output multi-fidelity Gaussian process model for non-hierarchical low-fidelity data fusion. Knowledge-Based Systems. 254. 109645–109645. 14 indexed citations

16.

Luo, Shuyang, et al.. (2022). Transfer learning based on improved stacked autoencoder for bearing fault diagnosis. Knowledge-Based Systems. 256. 109846–109846. 73 indexed citations

17.

Lin, Quan, et al.. (2022). A probability of improvement-based multi-fidelity robust optimization approach for aerospace products design. Aerospace Science and Technology. 128. 107764–107764. 11 indexed citations

18.

Li, Jingchang, et al.. (2020). A prediction approach of SLM based on the ensemble of metamodels considering material efficiency, energy consumption, and tensile strength. Journal of Intelligent Manufacturing. 33(3). 687–702. 21 indexed citations

19.

Zhou, Qi, et al.. (2015). A deterministic robust optimisation method under interval uncertainty based on the reverse model. Journal of Engineering Design. 26(10-12). 416–444. 19 indexed citations

20.

Zhou, Qi, Xinyu Shao, Ping Jiang, et al.. (2015). Differing Mapping using Ensemble of Metamodels forGlobal Variable-fidelity Metamodeling. Computer Modeling in Engineering & Sciences. 106(5). 323–355. 9 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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