Lingtao Yu

461 total citations
53 papers, 327 citations indexed

About

Lingtao Yu is a scholar working on Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lingtao Yu has authored 53 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Biomedical Engineering, 22 papers in Control and Systems Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lingtao Yu's work include Soft Robotics and Applications (31 papers), Robotic Mechanisms and Dynamics (15 papers) and Surgical Simulation and Training (9 papers). Lingtao Yu is often cited by papers focused on Soft Robotics and Applications (31 papers), Robotic Mechanisms and Dynamics (15 papers) and Surgical Simulation and Training (9 papers). Lingtao Yu collaborates with scholars based in China, Singapore and United Kingdom. Lingtao Yu's co-authors include Yusheng Yan, Zhengyu Wang, Wenjie Wang, Bin Zi, Jing Yang, Daoming Wang, Fengfeng Zhang, Jun Qian, Huafeng Ding and Zhijiang Du and has published in prestigious journals such as IEEE Access, Sensors and Information Sciences.

In The Last Decade

Lingtao Yu

50 papers receiving 324 citations

Peers

Lingtao Yu
Bruno Scaglioni United Kingdom
Siddarth Sen United States
Adnan Munawar United States
Wenjun Xu Singapore
Thomas Bahls Germany
Piyamate Wisanuvej United Kingdom
Bruno Scaglioni United Kingdom
Lingtao Yu
Citations per year, relative to Lingtao Yu Lingtao Yu (= 1×) peers Bruno Scaglioni

Countries citing papers authored by Lingtao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lingtao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingtao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Lingtao Yu. A scholar is included among the top collaborators of Lingtao Yu 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 Lingtao Yu. Lingtao Yu 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.
Лю, Пэйдэ, Mengjiao Shen, Xiaoming Wu, & Lingtao Yu. (2023). Probabilistic double hierarchy linguistic risk analysis based on failure mode and effects analysis and S-ARAS method. Information Sciences. 648. 119608–119608. 6 indexed citations
2.
Yang, Jing, et al.. (2021). Deformation modeling based on mechanical properties of liver tissue for virtuanormal vectors of trianglesl surgical simulation. International Journal of Computer Assisted Radiology and Surgery. 16(2). 253–267. 2 indexed citations
3.
Zhao, Lingyan, et al.. (2020). Study on Stress Characteristics of Plantar Walking and Rehabilitation Strategy. 553–557. 1 indexed citations
4.
Yu, Lingtao, et al.. (2020). MASSD: Multi-scale attention single shot detector for surgical instruments. Computers in Biology and Medicine. 123. 103867–103867. 9 indexed citations
5.
Yu, Lingtao, et al.. (2019). A Holistically-Nested U-Net: Surgical Instrument Segmentation Based on Convolutional Neural Network. Journal of Digital Imaging. 33(2). 341–347. 21 indexed citations
6.
Yu, Lingtao, et al.. (2019). Laparoscope arm automatic positioning for robot-assisted surgery based on reinforcement learning. Mechanical sciences. 10(1). 119–131. 6 indexed citations
7.
Wang, Zhengyu, et al.. (2019). External Force Self-Sensing Based on Cable-Tension Disturbance Observer for Surgical Robot End-Effector. IEEE Sensors Journal. 19(13). 5274–5284. 23 indexed citations
8.
Wang, Wenjie, Lingtao Yu, & Jing Yang. (2018). Linear parameter variant modeling and parameter identification of a cable-driven micromanipulator for surgical robot. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 233(5). 1828–1840. 7 indexed citations
9.
Yang, Jing, et al.. (2018). The estimation method of friction in unconfined compression tests of liver tissue. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 232(6). 573–587. 17 indexed citations
10.
Wang, Lan, Jing Yang, Lingtao Yu, Yanhui Li, & Jiawei Wang. (2018). Elimination Method of Master-Slave Jitter for Laparoscope Arm. 33. 1100–1105.
11.
Yu, Lingtao, Wenjie Wang, & Fengfeng Zhang. (2018). External Force Sensing Based on Cable Tension Changes in Minimally Invasive Surgical Micromanipulators. IEEE Access. 6. 5362–5373. 17 indexed citations
12.
15.
Yang, Jing, et al.. (2016). STUDY ON MECHANICAL CHARACTERIZATION OF LIVER TISSUE BASED ON HAPTIC DEVICES FOR VIRTUAL SURGICAL SIMULATION. Journal of Mechanics in Medicine and Biology. 16(8). 1640016–1640016. 9 indexed citations
17.
Wang, Wenjie, et al.. (2014). The new method of static modeling and simlink simulation for Delta parallel mechanism. 124. 680–685. 1 indexed citations
18.
Yu, Lingtao, et al.. (2013). A Kinematics Method Based on Dynamic Visual Navigation for the Instrument Arm of Surgical Robot. ROBOT. 35(2). 162–162. 4 indexed citations
19.
Yu, Lingtao, et al.. (2012). Static analysis for a 3-RUU parallel mechanism. 38. 749–754. 1 indexed citations
20.

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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