Kaibo Zhou

1.5k total citations
64 papers, 1.1k citations indexed

About

Kaibo Zhou is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Kaibo Zhou has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 19 papers in Mechanical Engineering and 18 papers in Artificial Intelligence. Recurrent topics in Kaibo Zhou's work include Machine Fault Diagnosis Techniques (14 papers), Fault Detection and Control Systems (11 papers) and Hydrocarbon exploration and reservoir analysis (8 papers). Kaibo Zhou is often cited by papers focused on Machine Fault Diagnosis Techniques (14 papers), Fault Detection and Control Systems (11 papers) and Hydrocarbon exploration and reservoir analysis (8 papers). Kaibo Zhou collaborates with scholars based in China, Israel and United States. Kaibo Zhou's co-authors include Jie Liu, Chaoying Yang, Qi Xu, Zhen Huang, Jie Liu, Xingxing Jiang, Luanxiao Zhao, Jianyu Zhang, Li Kong and Ming‐Feng Ge and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Geophysics.

In The Last Decade

Kaibo Zhou

61 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaibo Zhou China 19 502 353 297 274 181 64 1.1k
Fei Shen China 11 790 1.6× 524 1.5× 237 0.8× 200 0.7× 73 0.4× 28 1.2k
Ke Zhang China 23 840 1.7× 620 1.8× 429 1.4× 210 0.8× 91 0.5× 110 1.8k
Shan Liang China 22 343 0.7× 245 0.7× 154 0.5× 158 0.6× 178 1.0× 139 1.5k
Zhi Li China 16 445 0.9× 312 0.9× 140 0.5× 100 0.4× 37 0.2× 187 1.2k
Pengfei Liang China 23 1.3k 2.6× 722 2.0× 468 1.6× 391 1.4× 117 0.6× 64 2.1k
Weifei Hu China 21 185 0.4× 252 0.7× 211 0.7× 80 0.3× 170 0.9× 105 1.7k
Huang United States 13 133 0.3× 173 0.5× 137 0.5× 86 0.3× 134 0.7× 205 1.0k

Countries citing papers authored by Kaibo Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Kaibo Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaibo Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Kaibo Zhou. A scholar is included among the top collaborators of Kaibo 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 Kaibo Zhou. Kaibo 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.
Feng, Yaoyu, et al.. (2025). Simultaneous prediction of porosity, saturation, and lithofacies from seismic data via multitask deep learning. Geophysics. 90(4). M135–M151. 2 indexed citations
2.
Wang, Xiaoyu, Kaibo Zhou, Yan Wang, et al.. (2024). Joint Power Allocation and Beamforming Design for Active IRS-Aided Secure Directional Modulation Systems. IEEE Open Journal of the Communications Society. 6. 2853–2865.
3.
Yang, Chaoying, Jie Liu, Kaibo Zhou, Xiaohui Yuan, & Xingxing Jiang. (2023). A meta-path graph-based graph homogenization framework for machine fault diagnosis. Engineering Applications of Artificial Intelligence. 121. 105960–105960. 12 indexed citations
4.
Zhao, Ying‐Qi, et al.. (2023). Path Planning Algorithm for Unmanned Surface Vessel Based on Multiobjective Reinforcement Learning. Computational Intelligence and Neuroscience. 2023(1). 2146314–2146314. 5 indexed citations
5.
Liu, Jie, et al.. (2023). Path Graph Attention Network-based Bearing Remaining Useful Life Prediction Method. Journal of Mechanical Engineering. 59(12). 195–195. 2 indexed citations
6.
Liu, Jie, et al.. (2023). Design and optimization of liquid state machine for handwritten digit recognition. 16–16. 1 indexed citations
7.
Yang, Chaoying, Jie Liu, Kaibo Zhou, Xiaohui Yuan, & Ming‐Feng Ge. (2022). Transfer Graph-Driven Rotating Machinery Diagnosis Considering Cross-Domain Relationship Construction. IEEE/ASME Transactions on Mechatronics. 27(6). 5351–5360. 22 indexed citations
8.
Yang, Chaoying, Jie Liu, Kaibo Zhou, & Xinyu Li. (2022). Dynamic spatial–temporal graph-driven machine remaining useful life prediction method using graph data augmentation. Journal of Intelligent Manufacturing. 35(1). 355–366. 14 indexed citations
9.
Huang, Zhen, et al.. (2021). Automatic Recognition of Communication Signal Modulation Based on the Multiple‐Parallel Complex Convolutional Neural Network. Wireless Communications and Mobile Computing. 2021(1). 4 indexed citations
10.
Zhou, Kaibo, et al.. (2021). Sequential data-driven cross-domain lithology identification under logging data distribution discrepancy. Measurement Science and Technology. 32(12). 125122–125122. 15 indexed citations
11.
Zhou, Kaibo, et al.. (2021). Domain adaptation-based deep feature learning method with a mixture of distance measures for bearing fault diagnosis. Measurement Science and Technology. 32(9). 95105–95105. 12 indexed citations
12.
Zhou, Kaibo, et al.. (2021). An imbalance aware lithography hotspot detection method based on HDAM and pre-trained GoogLeNet. Measurement Science and Technology. 32(12). 125008–125008. 6 indexed citations
13.
Zhou, Kaibo, et al.. (2020). Neural-Adaptive Finite-Time Formation Tracking Control of Multiple Nonholonomic Agents With a Time-Varying Target. IEEE Access. 8. 62943–62953. 3 indexed citations
14.
Zhang, Changhe, et al.. (2020). Fault diagnosis of key components in the rotating machinery based on Fourier transform multi-filter decomposition and optimized LightGBM. Measurement Science and Technology. 32(1). 15004–15004. 25 indexed citations
15.
Zhou, Kaibo, et al.. (2019). Effects of Bridge Piers on Flood Hazards: A Case Study on the Jialing River in China. Water. 11(6). 1181–1181. 25 indexed citations
16.
Zhou, Kaibo, et al.. (2019). A gradient boosting decision tree algorithm combining synthetic minority oversampling technique for lithology identification. Geophysics. 85(4). WA147–WA158. 91 indexed citations
17.
Zhou, Kaibo, et al.. (2019). Fast prediction of reservoir permeability based on embedded feature selection and LightGBM using direct logging data. Measurement Science and Technology. 31(4). 45101–45101. 25 indexed citations
18.
Kong, Li, et al.. (2019). A modified neighborhood mutual information and light gradient boosting machine-based long-term prediction approach for anode effect. Measurement Science and Technology. 30(11). 115105–115105. 5 indexed citations
19.
Kong, Li, et al.. (2019). An Information Entropy-Based Modeling Method for the Measurement System. Entropy. 21(7). 691–691. 6 indexed citations
20.
Zhou, Kaibo, et al.. (2018). Anode effect prediction based on a singular value thresholding and extreme gradient boosting approach. Measurement Science and Technology. 30(1). 15104–15104. 14 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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