World's Best Scientists 2026 revealed!
Xiaoji Niu

Xiaoji Niu

D-Index & Metrics

Computer Science

D-Index
46
Citations
8508
World Ranking
6859
National Ranking
918

Xiaoji Niu publications per year

2002: 1 publications 2003: 0 publications 2004: 1 publications 2005: 4 publications 2006: 6 publications 2007: 9 publications 2008: 4 publications 2009: 0 publications 2010: 2 publications 2011: 0 publications 2012: 9 publications 2013: 12 publications 2014: 9 publications 2015: 20 publications 2016: 15 publications 2017: 14 publications 2018: 11 publications 2019: 18 publications 2020: 13 publications 2021: 32 publications 2022: 18 publications 2023: 24 publications 2024: 16 publications 2025: 29 publications
2002 2025

267 publications in total across all disciplines

Xiaoji Niu publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Xiaoji Niu sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 216 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Xiaoji Niu D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Xiaoji Niu sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Xiaoji Niu is affiliated with Wuhan University in China, where they contribute to the field of engineering, with a particular focus on aerospace engineering and related disciplines. Their research portfolio spans diverse aspects of inertial sensor technology, navigation systems, and robotic localization methodologies. The scientist's work integrates multiple advanced technologies to address challenges in positioning and sensor fusion.

The main fields of study associated with Xiaoji Niu include:

  • Engineering

Within this broader field, their subfields of study comprise:

  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Geology
  • Ocean Engineering

Their research themes prominently revolve around:

  • Indoor and Outdoor Localization Technologies
  • Inertial Sensor and Navigation
  • Robotics and Sensor-Based Localization
  • GNSS Positioning and Interference
  • 3D Surveying and Cultural Heritage
  • Robotic Path Planning Algorithms
  • Target Tracking and Data Fusion in Sensor Networks

Xiaoji Niu has published extensively in several journals and conference proceedings. The frequent venues where their research appears include:

  • IEEE Sensors Journal
  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Internet of Things Journal

Selected recent publications from their work include:

  • "Estimate the Pitch and Heading Mounting Angles of the IMU for Land Vehicular GNSS/INS Integrated System" (2020), IEEE Transactions on Intelligent Transportation Systems
  • "GNSS/IMU/ODO/LiDAR-SLAM Integrated Navigation System Using IMU/ODO Pre-Integration" (2020), Sensors
  • "Impact of the Earth Rotation Compensation on MEMS-IMU Preintegration of Factor Graph Optimization" (2022), IEEE Sensors Journal
  • "IC-GVINS: A Robust, Real-Time, INS-Centric GNSS-Visual-Inertial Navigation System" (2022), IEEE Robotics and Automation Letters
  • "Impact Assessment of Various IMU Error Sources on the Relative Accuracy of the GNSS/INS Systems" (2020), IEEE Sensors Journal

Collaboration is a significant aspect of Xiaoji Niu's research, with frequent co-authors including:

  • Jian Kuang
  • Tisheng Zhang
  • Hailiang Tang
  • Quan Zhang
  • Jingnan Liu

Through these collaborations and publications, Xiaoji Niu has engaged deeply with topics central to navigation technology, sensor integration, and robotics, contributing to developments in both practical systems and theoretical optimization.

Best Publications

  • Analysis and Modeling of Inertial Sensors Using Allan Variance

    N. El-Sheimy;Haiying Hou;Xiaoji Niu

  • A new multi-position calibration method for MEMS inertial navigation systems

    Z F Syed;P Aggarwal;C Goodall;X Niu

  • A Standard Testing and Calibration Procedure for Low Cost MEMS Inertial Sensors and Units

    P. Aggarwal;Z. Syed;X. Niu;N. El-Sheimy

  • Precise orbit determination of Beidou Satellites with precise positioning

    Chuang Shi;QiLe Zhao;Min Li;WeiMing Tang

  • High-rate precise point positioning (PPP) to measure seismic wave motions: an experimental comparison of GPS PPP with inertial measurement units

    Peiliang Xu;Chuang Shi;Rongxin Fang;Jingnan Liu

  • Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation

    You Li;Yuan Zhuang;Xin Hu;Zhouzheng Gao

  • Robust Pedestrian Dead Reckoning Based on MEMS-IMU for Smartphones

    Jian Kuang;Xiaoji Niu;Xingeng Chen

  • An improved inertial/wifi/magnetic fusion structure for indoor navigation

    You Li;Yuan Zhuang;Peng Zhang;Haiyu Lan

  • Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation

    You Li;Yuan Zhuang;Xin Hu;Zhouzheng Gao

  • High-Accuracy Positioning in Urban Environments Using Single-Frequency Multi-GNSS RTK/MEMS-IMU Integration

    Tuan Li;Hongping Zhang;Zhouzheng Gao;Qijin Chen

  • LiDAR Scan Matching Aided Inertial Navigation System in GNSS-Denied Environments

    Jian Tang;Yuwei Chen;Xiaoji Niu;Li-Li Wang

  • Tight Fusion of a Monocular Camera, MEMS-IMU, and Single-Frequency Multi-GNSS RTK for Precise Navigation in GNSS-Challenged Environments

    Tuan Li;Hongping Zhang;Zhouzheng Gao;Xiaoji Niu

  • GNSS/INS/LiDAR-SLAM Integrated Navigation System Based on Graph Optimization

    Le Chang;Xiaoji Niu;Tianyi Liu;Jian Tang

  • Fast Thermal Calibration of Low-Grade Inertial Sensors and Inertial Measurement Units

    Xiaoji Niu;You Li;Hongping Zhang;Qingjiang Wang

  • An Accurate Land-Vehicle MEMS IMU/GPS Navigation System Using 3D Auxiliary Velocity Updates

    Xiaoji Niu;Sameh Nassar;Naser El-Sheimy

  • A Hybrid WiFi/Magnetic Matching/PDR Approach for Indoor Navigation With Smartphone Sensors

    You Li;Yuan Zhuang;Haiyu Lan;Qifan Zhou

  • Estimate the Pitch and Heading Mounting Angles of the IMU for Land Vehicular GNSS/INS Integrated System

    Qijin Chen;Quan Zhang;Xiaoji Niu

  • Civilian Vehicle Navigation: Required Alignment of the Inertial Sensors for Acceptable Navigation Accuracies

    Z.F. Syed;P. Aggarwal;Xiaoji Niu;N. El-Sheimy

  • Autonomous Calibration of MEMS Gyros in Consumer Portable Devices

    You Li;Jacques Georgy;Xiaoji Niu;Qingli Li

  • A Railway Track Geometry Measuring Trolley System Based on Aided INS

    Qijin Chen;Xiaoji Niu;Lili Zuo;Tisheng Zhang

  • Railway Track Irregularity Measuring by GNSS/INS Integration

    Qijin Chen;Xiaoji Niu;Quan Zhang;Yahao Cheng

  • On the convergence of ionospheric constrained precise point positioning (IC-PPP) based on undifferential uncombined raw GNSS observations.

    Hongping Zhang;Zhouzheng Gao;Maorong Ge;Xiaoji Niu

Frequent Co-Authors

Naser El-Sheimy
Naser El-Sheimy University of Calgary
Chuang Shi
Chuang Shi Wuhan University
Maorong Ge
Maorong Ge Technical University of Berlin
Ruizhi Chen
Ruizhi Chen Wuhan University
Harald Schuh
Harald Schuh Technical University of Berlin
Jens Wickert
Jens Wickert Technical University of Berlin
Qile Zhao
Qile Zhao Wuhan University
Juha Hyyppä
Juha Hyyppä Finnish Geospatial Research Institute
Fadhel M. Ghannouchi
Fadhel M. Ghannouchi University of Calgary
John Thompson
John Thompson University of Edinburgh

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