Dan Wu

2.4k total citations
132 papers, 1.8k citations indexed

About

Dan Wu is a scholar working on Biomedical Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Dan Wu has authored 132 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Biomedical Engineering, 46 papers in Mechanical Engineering and 42 papers in Control and Systems Engineering. Recurrent topics in Dan Wu's work include Advanced machining processes and optimization (26 papers), Advanced Surface Polishing Techniques (21 papers) and Robot Manipulation and Learning (16 papers). Dan Wu is often cited by papers focused on Advanced machining processes and optimization (26 papers), Advanced Surface Polishing Techniques (21 papers) and Robot Manipulation and Learning (16 papers). Dan Wu collaborates with scholars based in China, United Kingdom and United States. Dan Wu's co-authors include Ken Chen, Yunfei Dong, Ken Chen, Tianyu Ren, Xiong Liang, Wanneng Yang, Lingfeng Duan, Peng Yang, Lizhong Xiong and Guoxing Chen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Dan Wu

118 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Wu China	23	695	552	501	355	217	132	1.8k
Heping Chen United States	25	699 1.0×	663 1.2×	373 0.7×	214 0.6×	475 2.2×	188	2.1k
Fei Chen China	21	755 1.1×	320 0.6×	576 1.1×	255 0.7×	284 1.3×	151	1.8k
Chyi‐Yeu Lin Taiwan	22	480 0.7×	213 0.4×	255 0.5×	224 0.6×	306 1.4×	125	1.4k
Qiaokang Liang China	23	272 0.4×	218 0.4×	345 0.7×	280 0.8×	291 1.3×	78	1.6k
Giovanni Muscato Italy	25	691 1.0×	583 1.1×	579 1.2×	163 0.5×	507 2.3×	163	2.2k
F.L. Merat United States	12	1.2k 1.7×	470 0.9×	576 1.1×	149 0.4×	432 2.0×	44	2.1k
Sunan Huang Singapore	30	2.0k 2.9×	860 1.6×	521 1.0×	365 1.0×	208 1.0×	105	2.8k
Oleg Sergiyenko Mexico	24	209 0.3×	222 0.4×	153 0.3×	645 1.8×	506 2.3×	178	1.8k
Albert Wang United States	26	509 0.7×	318 0.6×	1.4k 2.7×	1.6k 4.5×	170 0.8×	221	3.6k
Ching‐Chih Tsai Taiwan	29	2.0k 2.9×	422 0.8×	442 0.9×	458 1.3×	975 4.5×	240	3.3k

Countries citing papers authored by Dan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Dan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Wu. A scholar is included among the top collaborators of Dan Wu 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 Dan Wu. Dan Wu 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

Wu, Dan, et al.. (2025). Two-Stage High-Precision Visual 6-D Pose Measurement Method of Thin Parts With Irregular Shape for Precision Assembly. IEEE Transactions on Instrumentation and Measurement. 74. 1–13.

Wu, Dan, et al.. (2024). A numerical method for predicting bursting strength of composite rocket motor case considering filament winding process-induced stress. Chinese Journal of Aeronautics. 38(2). 103340–103340. 3 indexed citations

Zhang, Jiwen, et al.. (2024). Force–vision fusion fuzzy control for robotic batch precision assembly of flexibly absorbed pegs. Robotics and Computer-Integrated Manufacturing. 92. 102861–102861. 5 indexed citations

Xu, Shiwei, et al.. (2024). Can Digital Transformation Restrain Corporate ESG Greenwashing—A Test Based on Internal and External Joint Perspectives. Systems. 12(9). 334–334. 8 indexed citations

Ren, Wenyi, et al.. (2024). Transparent objects segmentation based on polarization imaging and deep learning. Optics Communications. 555. 130246–130246. 10 indexed citations

Zhang, Jiwen, et al.. (2024). Local connection reinforcement learning method for efficient robotic peg-in-hole assembly. Engineering Applications of Artificial Intelligence. 133. 108520–108520. 4 indexed citations

Xu, Jing, et al.. (2024). Defocus-Driven Variable-Shape Fringe for Accuracy Improvement in Fringe Projection Profilometry. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 5 indexed citations

Li, Zhihu, et al.. (2023). Smoothed-Truncated-Sine (STS) Pattern for Accuracy Improvement in Sinusoidal Fringe Projection Profilometry. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 5 indexed citations

Ren, Wenyi, et al.. (2023). Learning based compressive snapshot spectral light field imaging with RGB sensors. Optics Express. 31(20). 33387–33387. 1 indexed citations

10.

Li, Zhihu, et al.. (2023). A Weighted Least-Squares Algorithm for Wrapped Phase Retrieval in Sinusoidal Fringe Projection Profilometry. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 2 indexed citations

11.

Wang, Bin, et al.. (2022). Piecewise strategy and decoupling control method for high pose precision robotic peg-in-hole assembly. Robotics and Computer-Integrated Manufacturing. 79. 102451–102451. 11 indexed citations

12.

Wu, Dan, et al.. (2021). Feature-Based Compliance Control for Precise Peg-in-Hole Assembly. IEEE Transactions on Industrial Electronics. 69(9). 9309–9319. 31 indexed citations

13.

Ren, Wenyi, Dan Wu, Jiangang Jiang, Yongqing Yang, & Chunmin Zhang. (2017). Principle component analysis based hyperspectral image fusion in imaging spectropolarimeter. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10256. 102561E–102561E. 1 indexed citations

14.

Li, Kaicheng, Dan Wu, Yan Chen, et al.. (2016). 高被覆率単一細胞RNA配列決定および機能的不均一性により同定された体性感覚ニューロン型【Powered by NICT】. Cell Research. 26(8). 967. 37 indexed citations

15.

Xu, Jing, et al.. (2012). Gait definition and successive gait-transition method based on energy consumption for a quadruped. Chinese Journal of Mechanical Engineering. 25(1). 29–37. 8 indexed citations

16.

Wu, Dan & Ken Chen. (2011). Active disturbance rejection approach with application to precision motion control. Chinese Control Conference. 6315–6321. 1 indexed citations

17.

Wu, Dan, et al.. (2010). Precision active disturbance rejection control of fast tool servo. Chinese Control Conference. 6101–6106. 3 indexed citations

18.

Wu, Dan, et al.. (2010). Distributed TDMA scheduling protocol based on conflict-free for wireless sensor networks. 876–879. 11 indexed citations

19.

Wu, Dan. (2008). Magneticfield and driving force characteristics for a fast electromagnetic tool servo. Journal of Tsinghua University(Science and Technology). 1 indexed citations

20.

Wu, Dan. (2007). Design of an active disturbance rejection precision tracking controller. Journal of Tsinghua University(Science and Technology). 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.

Explore authors with similar magnitude of impact