Dahu Zhu

3.2k total citations · 2 hit papers
68 papers, 2.5k citations indexed

About

Dahu Zhu is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Dahu Zhu has authored 68 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Mechanical Engineering, 35 papers in Biomedical Engineering and 21 papers in Electrical and Electronic Engineering. Recurrent topics in Dahu Zhu's work include Advanced machining processes and optimization (40 papers), Advanced Surface Polishing Techniques (33 papers) and Advanced Machining and Optimization Techniques (20 papers). Dahu Zhu is often cited by papers focused on Advanced machining processes and optimization (40 papers), Advanced Surface Polishing Techniques (33 papers) and Advanced Machining and Optimization Techniques (20 papers). Dahu Zhu collaborates with scholars based in China, Singapore and Canada. Dahu Zhu's co-authors include Han Ding, Sijie Yan, Xiao-Ming Zhang, Xiaohu Xu, Zeyuan Yang, Kejia Zhuang, Wenlong Li, Han Ding, Xiaozhi Feng and Beizhi Li and has published in prestigious journals such as Journal of Materials Processing Technology, Mechanical Systems and Signal Processing and Wear.

In The Last Decade

Dahu Zhu

62 papers receiving 2.4k citations

Hit Papers

Tool wear characteristics in machining of nickel-based su... 2012 2026 2016 2021 2012 2020 100 200 300 400

Peers

Dahu Zhu
Yu Huang China
Jongwon Seok South Korea
Kai Guo China
Sijie Yan China
John C. Ziegert United States
Wuyi Chen China
Dahu Zhu
Citations per year, relative to Dahu Zhu Dahu Zhu (= 1×) peers Zhenyuan Jia

Countries citing papers authored by Dahu Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Dahu Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dahu Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Dahu Zhu. A scholar is included among the top collaborators of Dahu 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 Dahu Zhu. Dahu 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.
Feng, Xiaozhi, Tao Ding, Hao Wu, et al.. (2025). Sparse-VMICP: A weak feature point cloud registration algorithm for robotic vision measurement of large complex components. Robotics and Computer-Integrated Manufacturing. 98. 103175–103175.
2.
Liu, Hongdi, et al.. (2025). Human-Inspired Machining Robot Posture Optimization via Multi-Redundant DOFs. IEEE/ASME Transactions on Mechatronics. 31(1). 312–323.
3.
Zhu, Dahu, et al.. (2025). Two-Stage Hand–Eye Calibration Based on Variance Minimization Principle. IEEE Transactions on Instrumentation and Measurement. 74. 1–10.
4.
Zhu, Dahu, et al.. (2024). A three-stage framework for accurate detection of high-speed train body paint film defects. Advanced Engineering Informatics. 62. 102838–102838. 6 indexed citations
5.
Han, Xinghui, et al.. (2024). Modelling and analysis of chatter in the heavy-load multi-DoF plastic forming process. Mechanical Systems and Signal Processing. 224. 112106–112106.
6.
Zhu, Dahu, et al.. (2024). Model-enabled robotic machining framework for repairing paint film defects. Robotics and Computer-Integrated Manufacturing. 89. 102791–102791. 2 indexed citations
7.
Zhu, Dahu, et al.. (2024). Multi-camera joint calibration algorithm for guiding machining robot positioning considering ambient light and error uncertainty. Optics and Lasers in Engineering. 178. 108251–108251. 4 indexed citations
8.
Wu, Hao, Yu Zhang, Tao Ding, et al.. (2024). An errors-unidentified hand-eye calibration method via robot relocalization and iterative combinatorial refinement. Measurement. 226. 114170–114170. 5 indexed citations
9.
Zhu, Dahu, et al.. (2024). Point Cloud Registration-Enabled Globally Optimal Hand–Eye Calibration. IEEE/ASME Transactions on Mechatronics. 30(4). 2586–2597. 1 indexed citations
10.
Liu, Hongdi, et al.. (2023). GWM-view: Gradient-weighted multi-view calibration method for machining robot positioning. Robotics and Computer-Integrated Manufacturing. 83. 102560–102560. 13 indexed citations
11.
Yang, Zeyuan, M.L. Kuang, Dahu Zhu, et al.. (2023). Dynamic Compliant Force Control Strategy for Suppressing Vibrations and Over-Grinding of Robotic Belt Grinding System. IEEE Transactions on Automation Science and Engineering. 21(3). 4536–4547. 9 indexed citations
12.
Feng, Xiaozhi, et al.. (2023). A matrix-solving hand-eye calibration method considering robot kinematic errors. Journal of Manufacturing Processes. 99. 618–635. 16 indexed citations
13.
Wu, Chaoqun, et al.. (2023). Towards region-based robotic machining system from perspective of intelligent manufacturing: A technology framework with case study. Journal of Manufacturing Systems. 70. 451–463. 16 indexed citations
14.
Lv, Rui, Hongdi Liu, Zhou‐jun Wang, & Dahu Zhu. (2022). WPMAVM: Weighted plus-and-minus allowance variance minimization algorithm for solving matching distortion. Robotics and Computer-Integrated Manufacturing. 76. 102320–102320. 14 indexed citations
16.
Zhu, Dahu, Xiaozhi Feng, Xiaohu Xu, et al.. (2020). Robotic grinding of complex components: A step towards efficient and intelligent machining – challenges, solutions, and applications. Robotics and Computer-Integrated Manufacturing. 65. 101908–101908. 298 indexed citations breakdown →
17.
Xu, Xiaohu, Dahu Zhu, Jinshan Wang, Sijie Yan, & Han Ding. (2018). Calibration and accuracy analysis of robotic belt grinding system using the ruby probe and criteria sphere. Robotics and Computer-Integrated Manufacturing. 51. 189–201. 59 indexed citations
18.
Xu, Xiaohu, Dahu Zhu, Haiyang Zhang, Sijie Yan, & Han Ding. (2016). TCP-based calibration in robot-assisted belt grinding of aero-engine blades using scanner measurements. The International Journal of Advanced Manufacturing Technology. 90(1-4). 635–647. 62 indexed citations
19.
Luo, Shiyuan, Dahu Zhu, Dongsheng Qian, et al.. (2015). Effects of friction model on forging process of Ti-6Al-4V turbine blade considering the influence of sliding velocity. The International Journal of Advanced Manufacturing Technology. 82(9-12). 1993–2002. 15 indexed citations
20.
Zhu, Dahu, Xiao-Ming Zhang, & Han Ding. (2012). Tool wear characteristics in machining of nickel-based superalloys. International Journal of Machine Tools and Manufacture. 64. 60–77. 474 indexed citations breakdown →

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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