Kai Zhou

1.8k total citations · 1 hit paper
135 papers, 1.3k citations indexed

About

Kai Zhou is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Kai Zhou has authored 135 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Civil and Structural Engineering, 39 papers in Mechanical Engineering and 21 papers in Control and Systems Engineering. Recurrent topics in Kai Zhou's work include Structural Health Monitoring Techniques (30 papers), Probabilistic and Robust Engineering Design (15 papers) and Ultrasonics and Acoustic Wave Propagation (14 papers). Kai Zhou is often cited by papers focused on Structural Health Monitoring Techniques (30 papers), Probabilistic and Robust Engineering Design (15 papers) and Ultrasonics and Acoustic Wave Propagation (14 papers). Kai Zhou collaborates with scholars based in United States, China and Hong Kong. Kai Zhou's co-authors include Jiong Tang, Yixin Liu, Weihua Ou, Fei Long, Zequn Wang, S.A. Boggs, Pei Cao, Yang Zhang, Zheng Yi Wu and Dianyun Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and ACS Applied Materials & Interfaces.

In The Last Decade

Kai Zhou

113 papers receiving 1.2k citations

Hit Papers

Deep convolutional generative adversarial network with se... 2022 2026 2023 2024 2022 40 80 120
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. Deep convolutional generative adversarial network with semi-supervised learning enabled physics elucidation for extended gear fault diagnosis under data limitations
    2022 120 citations Kai Zhou, Jiong Tang et al. Mechanical Systems and Signal Processing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Zhou United States 21 340 339 317 220 182 135 1.3k
Keren Wang China 3 231 0.7× 367 1.1× 155 0.5× 218 1.0× 52 0.3× 8 1.4k
Yongjun Shen China 29 734 2.2× 497 1.5× 824 2.6× 145 0.7× 141 0.8× 174 2.6k
Shengli Xu China 20 208 0.6× 259 0.8× 574 1.8× 377 1.7× 124 0.7× 59 1.4k
Ling Yu China 27 256 0.8× 594 1.8× 1.3k 4.2× 529 2.4× 159 0.9× 150 2.1k
R. Escarela-Pérez Mexico 20 450 1.3× 384 1.1× 307 1.0× 99 0.5× 199 1.1× 127 1.8k
Minjun Peng China 25 735 2.2× 442 1.3× 88 0.3× 159 0.7× 160 0.9× 162 2.0k
Christian Gogu France 21 221 0.7× 274 0.8× 301 0.9× 247 1.1× 73 0.4× 59 1.1k
Leehter Yao Taiwan 19 444 1.3× 126 0.4× 213 0.7× 120 0.5× 219 1.2× 88 1.6k

Countries citing papers authored by Kai Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Kai Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Zhou. A scholar is included among the top collaborators of Kai 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 Kai Zhou. Kai 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.
Zheng, Zezhong, et al.. (2025). Automatic moisture content detection in concrete based on percussion method combined with deep learning. Measurement. 246. 116755–116755.
2.
3.
Zhang, Yaou, et al.. (2025). Slow control system of CEE-TPC. Nuclear Engineering and Technology. 57(10). 103677–103677. 1 indexed citations
4.
Wang, Hanfeng, et al.. (2025). Flow control of D-shaped bluff bodies using attached dual membranes. International Journal of Mechanical Sciences. 305. 110910–110910. 1 indexed citations
5.
Li, Gaolei, et al.. (2025). SemanAegis: Toward Credential-Aware Semantic Communication Against Knowledge Leakage Threats. IEEE Transactions on Mobile Computing. 25(4). 5032–5049.
6.
Zhu, Weidong, et al.. (2025). Dynamic modeling and vibrations of large deployable mesh reflectors. Applied Mathematical Modelling. 150. 116329–116329.
7.
Lu, Ching‐Ta, et al.. (2025). Implementation of campus unmanned guided vehicle using YOLO network with LiDAR positioning. IET conference proceedings.. 2024(22). 173–174.
8.
Zhang, Yaou, et al.. (2025). Web-based data visualization and management for CEE slow control system. Journal of Instrumentation. 20(9). P09029–P09029.
9.
10.
Zhang, Yang, Kai Zhou, & Jiong Tang. (2024). Piezoelectric impedance-based high-accuracy damage identification using sparsity conscious multi-objective optimization inverse analysis. Mechanical Systems and Signal Processing. 209. 111093–111093. 4 indexed citations
11.
Ai, Xing, et al.. (2024). Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach. 1213–1227. 4 indexed citations
12.
Wang, Zequn, et al.. (2024). Enhanced seismic wave attenuation in graded seismic metamaterials with novel unit cells. 28–28. 1 indexed citations
13.
Zhou, Kai, et al.. (2024). Harnessing Bayesian Deep Learning to Tackle Unseen and Uncertain Scenarios in Diagnosis of Machinery Systems. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering. 11(1).
14.
15.
Zhou, Kai, et al.. (2024). Slow control system of the HIRFL-CSR external-target experiment. Nuclear Engineering and Technology. 57(5). 103345–103345. 2 indexed citations
16.
Liu, Yixuan, Shangyan Zou, Qing-Bin Gao, & Kai Zhou. (2024). Physics-guided data-driven failure identification of underwater mooring systems in offshore infrastructures. Digital Commons - Michigan Tech (Michigan Technological University). 35–35.
17.
Zhang, Yuan, et al.. (2022). Long‐time target tracking algorithm based on re‐detection multi‐feature fusion. SHILAP Revista de lepidopterología. 4(1). 38–50.
18.
Andersson, Å., et al.. (2021). Data analysis, spatial metrology network, and precision realignment of the entire MAX IV linear accelerator. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1003. 165267–165267. 10 indexed citations
19.
Ren, Dazhong, et al.. (2015). Microscopic Geological Factors of Movable Fluid Distribution in the Tight Sandstone Gas Reservoir:Taking the He 8 Reservoir in the East of Sulige Gas Field as An Example. Geoscience. 1409–1417. 2 indexed citations
20.
Zhou, Kai, et al.. (2010). Optimizing Subsea Gravity Separator Structural Design By Analysis For Deepwater Project. 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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