Caichao Zhu

6.2k total citations · 1 hit paper
240 papers, 4.8k citations indexed

About

Caichao Zhu is a scholar working on Mechanical Engineering, Mechanics of Materials and Control and Systems Engineering. According to data from OpenAlex, Caichao Zhu has authored 240 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 215 papers in Mechanical Engineering, 104 papers in Mechanics of Materials and 46 papers in Control and Systems Engineering. Recurrent topics in Caichao Zhu's work include Gear and Bearing Dynamics Analysis (180 papers), Tribology and Lubrication Engineering (88 papers) and Mechanical Engineering and Vibrations Research (79 papers). Caichao Zhu is often cited by papers focused on Gear and Bearing Dynamics Analysis (180 papers), Tribology and Lubrication Engineering (88 papers) and Mechanical Engineering and Vibrations Research (79 papers). Caichao Zhu collaborates with scholars based in China, United States and United Kingdom. Caichao Zhu's co-authors include Huaiju Liu, Chaosheng Song, Heli Liu, Peitang Wei, Jinyuan Tang, Sheng Xiang, Yi Qin, Zhangdong Sun, Jianjun Tan and Xiangyang Xu and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Caichao Zhu

228 papers receiving 4.7k citations

Hit Papers

Gated Dual Attention Unit... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caichao Zhu China 40 4.0k 2.0k 976 634 230 240 4.8k
S. P. Harsha India 35 3.0k 0.7× 1.9k 1.0× 2.5k 2.5× 894 1.4× 230 1.0× 260 5.3k
Ping Hu China 32 1.5k 0.4× 1.5k 0.8× 382 0.4× 564 0.9× 307 1.3× 168 3.4k
B. Nageswara Rao India 30 2.3k 0.6× 2.1k 1.1× 358 0.4× 1.2k 2.0× 145 0.6× 311 3.8k
Marco Giglio Italy 36 1.6k 0.4× 2.3k 1.1× 426 0.4× 1.3k 2.0× 432 1.9× 271 4.3k
Marek Balazinski Canada 32 1.9k 0.5× 293 0.1× 261 0.3× 339 0.5× 945 4.1× 132 2.7k
Tonghai Wu China 28 1.5k 0.4× 678 0.3× 504 0.5× 151 0.2× 262 1.1× 151 2.5k
Dinghua Zhang China 38 3.5k 0.9× 581 0.3× 215 0.2× 438 0.7× 1.2k 5.3× 267 4.5k
B. S. Pabla India 26 1.5k 0.4× 471 0.2× 625 0.6× 296 0.5× 823 3.6× 102 2.4k
Ilmar F. Santos Denmark 30 2.3k 0.6× 730 0.4× 1.8k 1.9× 120 0.2× 445 1.9× 205 3.6k
Ke Yan China 27 1.6k 0.4× 597 0.3× 602 0.6× 351 0.6× 296 1.3× 129 2.4k

Countries citing papers authored by Caichao Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Caichao Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caichao Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Caichao Zhu. A scholar is included among the top collaborators of Caichao Zhu 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 Caichao Zhu. Caichao Zhu 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.
Zhu, Caichao, et al.. (2025). Life extension of wind turbine gearboxes based on pitch control. Results in Engineering. 27. 106264–106264. 1 indexed citations
2.
Zhu, Caichao, et al.. (2024). A review on gear scuffing studies: Theories, experiments and design. Tribology International. 196. 109741–109741. 16 indexed citations
3.
Zhu, Caichao, et al.. (2024). The PVT limit for gear scuffing assessment. Wear. 558-559. 205557–205557. 3 indexed citations
4.
Li, Shaobo, et al.. (2024). Data-driven multivariate regression-based anomaly detection and recovery of unmanned aerial vehicle flight data. Journal of Computational Design and Engineering. 11(2). 176–193. 9 indexed citations
5.
Hu, Rui, et al.. (2024). Multi-objective optimization and accelerated experimental research on load distribution of planetary roller screw mechanism. Tribology International. 199. 110046–110046. 5 indexed citations
6.
Liu, Siyuan, et al.. (2023). Influence of gear–shaft interference fit assembly on the meshing characteristics of cylindrical gears considering comprehensive modifications. Mechanism and Machine Theory. 182. 105247–105247. 13 indexed citations
7.
Song, Chaosheng, et al.. (2023). Modelling method, simulation and experimental verification of hypoid gear involved tooth surface deviation under manufacturing process. Mechanism and Machine Theory. 182. 105248–105248. 7 indexed citations
8.
Li, Shaobo, et al.. (2023). Data-driven unsupervised anomaly detection and recovery of unmanned aerial vehicle flight data based on spatiotemporal correlation. Science China Technological Sciences. 66(5). 1304–1316. 19 indexed citations
9.
Zhu, Caichao, et al.. (2022). Analytical study of tooth flank fracture in case-hardened gears considering non-metallic inclusion. Engineering Failure Analysis. 138. 106373–106373. 2 indexed citations
10.
Zhu, Yongchao, et al.. (2022). Anomaly detection and condition monitoring of wind turbine gearbox based on LSTM-FS and transfer learning. Renewable Energy. 189. 90–103. 49 indexed citations
11.
Liu, Heli, et al.. (2022). Study on gear bending fatigue considering gradient characteristics: Numerical analysis and experiments. Engineering Fracture Mechanics. 277. 108983–108983. 17 indexed citations
13.
Tan, Jianjun, et al.. (2019). Effects of Flexibility and Suspension Configuration of Main Shaft on Dynamic Characteristics of Wind Turbine Drivetrain. Chinese Journal of Mechanical Engineering. 32(1). 12 indexed citations
14.
Zhu, Caichao, et al.. (2019). The transmission characteristic for the improved wind turbine gearbox. Energy Science & Engineering. 7(4). 1368–1378. 6 indexed citations
15.
Zhu, Caichao, et al.. (2019). The optimization and the application for the wind turbine power-wind speed curve. Renewable Energy. 140. 52–61. 17 indexed citations
16.
Liu, Huaiju, et al.. (2019). A Review on Micropitting Studies of Steel Gears. Coatings. 9(1). 42–42. 65 indexed citations
17.
Zhu, Caichao, et al.. (2019). Dynamic Analysis of Planetary Gear Transmission System Considering the Flexibility of Internal Ring Gear. Iranian Journal of Science and Technology Transactions of Mechanical Engineering. 44(3). 695–706. 25 indexed citations
18.
Zhu, Caichao, et al.. (2019). Investigation of Contact Performance of Case-Hardened Gears Under Plasto-elastohydrodynamic Lubrication. Tribology Letters. 67(3). 27 indexed citations
19.
Liu, Huaiju, et al.. (2018). Study of rolling contact fatigue behavior of a wind turbine gear based on damage-coupled elastic-plastic model. International Journal of Mechanical Sciences. 141. 512–519. 62 indexed citations
20.
Zhu, Caichao, et al.. (2017). Effect of the quenching residual stress on ductile fracture behavior of pre-stretched aluminum alloy plates. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 39(6). 2259–2267. 6 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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