Masashi Yokozuka

870 total citations · 1 hit paper
38 papers, 555 citations indexed

About

Masashi Yokozuka is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Masashi Yokozuka has authored 38 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Aerospace Engineering, 24 papers in Computer Vision and Pattern Recognition and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Masashi Yokozuka's work include Robotics and Sensor-Based Localization (28 papers), Robotic Path Planning Algorithms (12 papers) and Indoor and Outdoor Localization Technologies (9 papers). Masashi Yokozuka is often cited by papers focused on Robotics and Sensor-Based Localization (28 papers), Robotic Path Planning Algorithms (12 papers) and Indoor and Outdoor Localization Technologies (9 papers). Masashi Yokozuka collaborates with scholars based in Japan and United States. Masashi Yokozuka's co-authors include Atsuhiko Banno, Shuji Oishi, Kenji Koide, Osamu Matsumoto, Naohisa Hashimoto, Jun Miura, Yusuke Suzuki, Ken Suzuki, Kohji Tomita and Ümi̇t Özgüner and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Robotics and Autonomous Systems.

In The Last Decade

Masashi Yokozuka

34 papers receiving 517 citations

Hit Papers

Voxelized GICP for Fast and Accurate 3D Point Cloud Regis... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masashi Yokozuka Japan 10 415 257 200 174 78 38 555
Huan Yin China 15 486 1.2× 326 1.3× 174 0.9× 159 0.9× 204 2.6× 41 655
Hyungtae Lim South Korea 16 569 1.4× 369 1.4× 257 1.3× 277 1.6× 102 1.3× 33 783
Louis Wiesmann Germany 14 459 1.1× 357 1.4× 225 1.1× 241 1.4× 64 0.8× 27 715
Haoang Li Hong Kong 12 427 1.0× 404 1.6× 216 1.1× 97 0.6× 66 0.8× 36 605
Young-Sik Shin South Korea 12 543 1.3× 448 1.7× 170 0.8× 122 0.7× 169 2.2× 32 763
Benedikt Mersch Germany 10 417 1.0× 343 1.3× 186 0.9× 200 1.1× 36 0.5× 17 647
Xiaqing Ding China 14 430 1.0× 332 1.3× 138 0.7× 111 0.6× 124 1.6× 26 519
Narunas Vaškevičius Germany 15 714 1.7× 553 2.2× 353 1.8× 210 1.2× 103 1.3× 44 909
Jann Poppinga Germany 11 541 1.3× 413 1.6× 258 1.3× 163 0.9× 79 1.0× 18 643
Tim Caselitz Germany 6 281 0.7× 240 0.9× 103 0.5× 86 0.5× 67 0.9× 9 385

Countries citing papers authored by Masashi Yokozuka

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Yokozuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Yokozuka

This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Yokozuka. A scholar is included among the top collaborators of Masashi Yokozuka 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 Masashi Yokozuka. Masashi Yokozuka 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.
Oishi, Shuji, et al.. (2025). Tightly-Coupled LiDAR-IMU-Leg Odometry With Online Learned Leg Kinematics Incorporating Foot Tactile Information. IEEE Robotics and Automation Letters. 10(8). 7947–7954.
2.
Koide, Kenji, et al.. (2025). Tightly-coupled LiDAR-IMU-wheel odometry with an online neural kinematic model learning via factor graph optimization. Robotics and Autonomous Systems. 187. 104929–104929. 1 indexed citations
3.
Koide, Kenji, Shuji Oishi, Masashi Yokozuka, & Atsuhiko Banno. (2024). Tightly Coupled Range Inertial Localization on a 3D Prior Map Based on Sliding Window Factor Graph Optimization. 1745–1751. 9 indexed citations
5.
Koide, Kenji, Masashi Yokozuka, Shuji Oishi, & Atsuhiko Banno. (2024). GLIM: 3D range-inertial localization and mapping with GPU-accelerated scan matching factors. Robotics and Autonomous Systems. 179. 104750–104750. 6 indexed citations
6.
Koide, Kenji, et al.. (2024). Single-shot global localization via graph-theoretic correspondence matching. Advanced Robotics. 38(3). 168–181. 2 indexed citations
7.
Koide, Kenji, et al.. (2024). Tightly-Coupled LiDAR-IMU-Wheel Odometry With Online Calibration of a Kinematic Model for Skid-Steering Robots. IEEE Access. 12. 134728–134738. 4 indexed citations
8.
Koide, Kenji, Shuji Oishi, Masashi Yokozuka, & Atsuhiko Banno. (2023). General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox. 11301–11307. 51 indexed citations
9.
Koide, Kenji, Shuji Oishi, Masashi Yokozuka, & Atsuhiko Banno. (2023). Exact Point Cloud Downsampling for Fast and Accurate Global Trajectory Optimization. 9175–9182.
10.
Koide, Kenji, et al.. (2022). Generalized LOAM: LiDAR Odometry Estimation With Trainable Local Geometric Features. IEEE Robotics and Automation Letters. 7(4). 12459–12466. 6 indexed citations
11.
Koide, Kenji, Shuji Oishi, Masashi Yokozuka, & Atsuhiko Banno. (2022). Scalable Fiducial Tag Localization on a 3D Prior Map via Graph-Theoretic Global Tag-Map Registration. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 5347–5353. 5 indexed citations
12.
Oishi, Shuji, et al.. (2021). 4D Attention: Comprehensive Framework for Spatio-Temporal Gaze Mapping. IEEE Robotics and Automation Letters. 6(4). 7240–7247. 8 indexed citations
13.
Koide, Kenji, Masashi Yokozuka, Shuji Oishi, & Atsuhiko Banno. (2021). Voxelized GICP for Fast and Accurate 3D Point Cloud Registration. 11054–11059. 228 indexed citations breakdown →
14.
Koide, Kenji, Masashi Yokozuka, Shuji Oishi, & Atsuhiko Banno. (2021). Adaptive Hyperparameter Tuning for Black-box LiDAR Odometry. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 7708–7714. 1 indexed citations
15.
Yokozuka, Masashi, Kohji Tomita, Osamu Matsumoto, & Atsuhiko Banno. (2016). Accurate depth-map refinement by per-pixel plane fitting for stereo vision. 2807–2812. 3 indexed citations
16.
Yokozuka, Masashi & Osamu Matsumoto. (2015). Accurate Localization for Making Maps to Mobile Robots Using Odometry and GPS Without Scan-Matching. Journal of Robotics and Mechatronics. 27(4). 410–418. 5 indexed citations
17.
Yokozuka, Masashi & Osamu Matsumoto. (2014). A Reasonable Path Planning via Path Energy Minimization. Journal of Robotics and Mechatronics. 26(2). 236–244. 10 indexed citations
18.
Suzuki, Ken, Masashi Yokozuka, Akihiro Yamashita, et al.. (2011). 1P1-K14 Real-time route generation for obstacle avoidance using occupancy grid map and A* search algorithm(Wheeled Robot/Tracked Vehicle). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2011(0). _1P1–K14_1. 3 indexed citations
19.
Hashimoto, Naohisa, Ümi̇t Özgüner, Masashi Yokozuka, et al.. (2011). A framework of fault detection algorithm for intelligent vehicle by using real experimental data. 174?20095427. 913–918. 4 indexed citations
20.
Yokozuka, Masashi, et al.. (2010). Auxiliary Particle Filter Localization for Intelligent Wheelchair Systems in Urban Environments. Journal of Robotics and Mechatronics. 22(6). 758–766. 15 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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