Xing Wu

1.2k total citations
71 papers, 942 citations indexed

About

Xing Wu is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Xing Wu has authored 71 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 18 papers in Industrial and Manufacturing Engineering and 13 papers in Control and Systems Engineering. Recurrent topics in Xing Wu's work include Advanced Manufacturing and Logistics Optimization (15 papers), Robotic Path Planning Algorithms (15 papers) and Electrostatics and Colloid Interactions (10 papers). Xing Wu is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (15 papers), Robotic Path Planning Algorithms (15 papers) and Electrostatics and Colloid Interactions (10 papers). Xing Wu collaborates with scholars based in China, Canada and United States. Xing Wu's co-authors include Theo G. M. van de Ven, Peihuang Lou, Ting Zou, Jan Czarnecki, Piotr Warszyński, Bir Bhanu, T. Da̧broś, Jacob H. Masliyah, Faleh Tamimi and Nach G. Daniel and has published in prestigious journals such as Langmuir, Journal of Colloid and Interface Science and IEEE Transactions on Image Processing.

In The Last Decade

Xing Wu

67 papers receiving 908 citations

Peers

Xing Wu
Xing Wu
Citations per year, relative to Xing Wu Xing Wu (= 1×) peers Tonghai Wu

Countries citing papers authored by Xing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Wu. A scholar is included among the top collaborators of Xing 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 Xing Wu. Xing Wu 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
2.
Wu, Xing, et al.. (2024). RGB-D Vision Navigation via Motion Saliency Measurement and Twin Reprojection Optimization in Complex Dynamic Scenes. IEEE Transactions on Instrumentation and Measurement. 73. 1–17.
3.
Wu, Xing, et al.. (2024). Attention-Based Value Classification Reinforcement Learning for Collision-Free Robot Navigation. IEEE Transactions on Intelligent Vehicles. 9(11). 6898–6911. 1 indexed citations
5.
Wu, Xing, et al.. (2023). Saliency-Induced Moving Object Detection for Robust RGB-D Vision Navigation Under Complex Dynamic Environments. IEEE Transactions on Intelligent Transportation Systems. 24(10). 10716–10734. 7 indexed citations
6.
Wu, Xing, et al.. (2023). An intelligent vision recognition method based on deep learning for pointer meters. Measurement Science and Technology. 34(5). 55410–55410. 22 indexed citations
7.
Wu, Xing, et al.. (2022). Robust Pose Estimation via Hybrid Point and Twin Line Reprojection for RGB-D Vision Navigation. IEEE Transactions on Instrumentation and Measurement. 71. 1–19. 10 indexed citations
8.
Wu, Xing, et al.. (2021). Multi-Stage Refinement Feature Matching Using Adaptive ORB Features for Robotic Vision Navigation. IEEE Sensors Journal. 22(3). 2603–2617. 14 indexed citations
9.
Wang, Chengliang, et al.. (2021). Deep learning for registration of region of interest in consecutive wireless capsule endoscopy frames. Computer Methods and Programs in Biomedicine. 208. 106189–106189. 6 indexed citations
10.
Wu, Xing, et al.. (2020). A CEGA-Based Optimization Approach for Integrated Designing of a Unidirectional Guide-Path Network and Scheduling of AGVs. Mathematical Problems in Engineering. 2020. 1–16. 9 indexed citations
11.
Wu, Xing, et al.. (2020). Trajectory Planning With Lamé-Curve Blending for Motor-Saturation Avoidance Upon Mobile-Robot Turning. IEEE Access. 8. 58483–58496. 6 indexed citations
12.
Wu, Xing, et al.. (2020). A Collision and Deadlock Prevention Method With Traffic Sequence Optimization Strategy for UGN-Based AGVS. IEEE Access. 8. 209452–209470. 10 indexed citations
13.
Wu, Xing, et al.. (2019). G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors. Asian Conference on Machine Learning. 1204–1217. 2 indexed citations
14.
Wu, Xing, et al.. (2019). Intelligent Path Recognition against Image Noises for Vision Guidance of Automated Guided Vehicles in a Complex Workspace. Applied Sciences. 9(19). 4108–4108. 15 indexed citations
15.
Wu, Xing, et al.. (2014). Development of an omni-directional mobile robot with two automated guided driving modules. 14. 1775–1780. 1 indexed citations
16.
Wu, Xing. (2011). Human Detection Based on Bandelet Transform and Body Parts. 1 indexed citations
17.
Lou, Peihuang, et al.. (2010). Open CNC System Design Based on Multi-Agent Technology. 19. 1–4. 1 indexed citations
18.
Lou, Peihuang, et al.. (2009). A Dual-Core Real-Time Embedded System for Vision-Based Automated Guided Vehicle. 207–211. 9 indexed citations
19.
Wu, Xing, et al.. (2002). Dynamic and Static Interactions between Bitumen Droplets in Water. Journal of Colloid and Interface Science. 250(2). 316–326. 13 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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