Xuanbin Wang

543 total citations
20 papers, 364 citations indexed

About

Xuanbin Wang is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xuanbin Wang has authored 20 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Aerospace Engineering, 12 papers in Electrical and Electronic Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xuanbin Wang's work include Robotics and Sensor-Based Localization (14 papers), Indoor and Outdoor Localization Technologies (12 papers) and Inertial Sensor and Navigation (8 papers). Xuanbin Wang is often cited by papers focused on Robotics and Sensor-Based Localization (14 papers), Indoor and Outdoor Localization Technologies (12 papers) and Inertial Sensor and Navigation (8 papers). Xuanbin Wang collaborates with scholars based in China and Hong Kong. Xuanbin Wang's co-authors include Shengyu Li, Xingxing Li, Yuxuan Zhou, Xingxing Li, Xin Li, Huidan Wang, Zhiheng Shen, Xin Li and Weisong Wen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Xuanbin Wang

20 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuanbin Wang China 11 306 136 93 58 51 20 364
Flavia Causa Italy 11 284 0.9× 70 0.5× 143 1.5× 58 1.0× 16 0.3× 56 386
Hoi‐Fung Ng Hong Kong 11 298 1.0× 218 1.6× 31 0.3× 49 0.8× 18 0.4× 27 374
Zhiheng Shen China 14 423 1.4× 166 1.2× 68 0.7× 75 1.3× 34 0.7× 34 503
Oliver Meister Germany 10 280 0.9× 61 0.4× 109 1.2× 88 1.5× 17 0.3× 21 383
Yi Dong China 12 276 0.9× 123 0.9× 43 0.5× 86 1.5× 7 0.1× 29 388
Moon-Beom Heo South Korea 10 270 0.9× 133 1.0× 41 0.4× 81 1.4× 8 0.2× 52 348
Dehann Fourie United States 10 204 0.7× 91 0.7× 116 1.2× 57 1.0× 14 0.3× 20 371
Maarten Uijt de Haag United States 11 251 0.8× 64 0.5× 71 0.8× 55 0.9× 61 1.2× 54 316
Timo Pylvänäinen Finland 5 286 0.9× 71 0.5× 319 3.4× 37 0.6× 56 1.1× 6 444
Chris Bartone United States 9 278 0.9× 121 0.9× 28 0.3× 67 1.2× 7 0.1× 52 342

Countries citing papers authored by Xuanbin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xuanbin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuanbin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xuanbin Wang. A scholar is included among the top collaborators of Xuanbin Wang 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 Xuanbin Wang. Xuanbin Wang 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.
Shen, Zhiheng, et al.. (2024). A Novel Factor Graph Framework for Tightly Coupled GNSS/INS Integration With Carrier-Phase Ambiguity Resolution. IEEE Transactions on Intelligent Transportation Systems. 25(10). 13091–13105. 14 indexed citations
2.
Zhou, Yuxuan, Xingxing Li, Shengyu Li, Xuanbin Wang, & Zhiheng Shen. (2024). Ground-VIO: Monocular Visual-Inertial Odometry With Online Calibration of Camera-Ground Geometric Parameters. IEEE Transactions on Intelligent Transportation Systems. 25(10). 14328–14343. 2 indexed citations
3.
Zhou, Yuxuan, et al.. (2024). DBA-Fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment With Multiple Sensors for Large-Scale Localization and Mapping. IEEE Robotics and Automation Letters. 9(7). 6138–6145. 1 indexed citations
4.
Li, Xingxing, et al.. (2024). Time-Differenced Carrier Phase-Assisted Visual–Inertial Odometry With Global Pose Graph Optimization. IEEE Sensors Journal. 24(9). 14642–14655. 1 indexed citations
5.
Wang, Xuanbin, et al.. (2024). GIVL-SLAM: A Robust and High-Precision SLAM System by Tightly Coupled GNSS RTK, Inertial, Vision, and LiDAR. IEEE/ASME Transactions on Mechatronics. 30(2). 1212–1223. 5 indexed citations
6.
Shen, Zhiheng, et al.. (2024). Accurate and Capable GNSS-Inertial-Visual Vehicle Navigation via Tightly Coupled Multiple Homogeneous Sensors. IEEE Transactions on Automation Science and Engineering. 22. 5464–5478. 5 indexed citations
7.
Li, Xingxing, et al.. (2024). Tightly Coupled Integration of LiDAR and Vision for 3D Multiobject Tracking. IEEE Transactions on Intelligent Vehicles. 10(1). 399–412. 2 indexed citations
8.
Li, Xin, et al.. (2024). Factor graph-based PPP-RTK for accurate and robust positioning in urban environments. Journal of Geodesy. 98(3). 6 indexed citations
9.
Li, Xingxing, et al.. (2023). FGO-GIL: Factor Graph Optimization-Based GNSS RTK/INS/LiDAR Tightly Coupled Integration for Precise and Continuous Navigation. IEEE Sensors Journal. 23(13). 14534–14548. 26 indexed citations
10.
Li, Xingxing, et al.. (2023). Accurate and Real-Time 3D-LiDAR Multiobject Tracking Using Factor Graph Optimization. IEEE Sensors Journal. 24(2). 1760–1771. 6 indexed citations
11.
Wang, Xuanbin, et al.. (2023). GIVE: A Tightly Coupled RTK-Inertial–Visual State Estimator for Robust and Precise Positioning. IEEE Transactions on Instrumentation and Measurement. 72. 1–15. 13 indexed citations
12.
Li, Xingxing, et al.. (2023). An Optimization-Based Tightly-Coupled Integration of PPP, INS and Vision for Precise and Continuous Navigation. IEEE Transactions on Vehicular Technology. 73(4). 4934–4948. 5 indexed citations
13.
14.
Zhou, Yuxuan, Xingxing Li, Shengyu Li, & Xuanbin Wang. (2022). Visual Mapping and Localization System Based on Compact Instance-Level Road Markings With Spatial Uncertainty. IEEE Robotics and Automation Letters. 7(4). 10802–10809. 12 indexed citations
15.
Li, Xingxing, et al.. (2022). Accurate and Automatic Extrinsic Calibration for a Monocular Camera and Heterogenous 3D LiDARs. IEEE Sensors Journal. 22(16). 16472–16480. 18 indexed citations
16.
Zhou, Yuxuan, et al.. (2022). Online Visual-Inertial Extrinsic Calibration Utilizing GNSS Measurements for Vehicle Applications. IEEE Sensors Journal. 22(5). 4545–4557. 15 indexed citations
17.
Li, Xingxing, Shengyu Li, Yuxuan Zhou, et al.. (2022). Continuous and Precise Positioning in Urban Environments by Tightly Coupled Integration of GNSS, INS and Vision. IEEE Robotics and Automation Letters. 7(4). 11458–11465. 31 indexed citations
18.
Li, Xingxing, et al.. (2021). Enhancing navigation performance through visual-inertial odometry in GNSS-degraded environment. GPS Solutions. 25(2). 47 indexed citations
19.
Li, Xingxing, et al.. (2021). GIL: a tightly coupled GNSS PPP/INS/LiDAR method for precise vehicle navigation. SHILAP Revista de lepidopterología. 2(1). 37 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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