Fu Zhang

8.9k total citations · 6 hit papers
217 papers, 5.3k citations indexed

About

Fu Zhang is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Fu Zhang has authored 217 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Aerospace Engineering, 64 papers in Computer Vision and Pattern Recognition and 49 papers in Artificial Intelligence. Recurrent topics in Fu Zhang's work include Robotics and Sensor-Based Localization (61 papers), Robotic Path Planning Algorithms (37 papers) and Semantic Web and Ontologies (35 papers). Fu Zhang is often cited by papers focused on Robotics and Sensor-Based Localization (61 papers), Robotic Path Planning Algorithms (37 papers) and Semantic Web and Ontologies (35 papers). Fu Zhang collaborates with scholars based in China, Hong Kong and United States. Fu Zhang's co-authors include Wei Xu, Jiarong Lin, Dongjiao He, Yixi Cai, Xiyuan Liu, Chongjian Yuan, Zheng Liu, Xiaoping Hong, Zongmin Ma and Ximin Lyu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Fu Zhang

194 papers receiving 5.1k citations

Hit Papers

FAST-LIO2: Fast Direct LiDAR-Inertial Odometry 2020 2026 2022 2024 2022 2021 2020 2021 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fu Zhang China 32 3.4k 2.1k 1.3k 1.0k 693 217 5.3k
Michael Kaess United States 42 6.5k 1.9× 4.2k 2.0× 1.5k 1.2× 707 0.7× 404 0.6× 139 7.8k
Steven L. Waslander Canada 34 3.4k 1.0× 3.2k 1.5× 437 0.3× 525 0.5× 2.1k 3.0× 145 6.6k
Shoudong Huang Australia 35 2.5k 0.7× 1.8k 0.9× 473 0.4× 280 0.3× 523 0.8× 204 3.9k
Hongdong Li Australia 49 2.8k 0.8× 7.3k 3.5× 922 0.7× 500 0.5× 400 0.6× 228 9.2k
Rudolph Triebel Germany 27 1.5k 0.4× 1.7k 0.8× 396 0.3× 383 0.4× 354 0.5× 120 3.0k
Yulan Guo China 46 2.4k 0.7× 5.8k 2.7× 2.9k 2.2× 2.3k 2.3× 202 0.3× 168 9.6k
D. Nistér United States 31 5.8k 1.7× 8.8k 4.2× 1.2k 0.9× 545 0.5× 200 0.3× 55 10.0k
Philip H. S. Torr United Kingdom 44 2.1k 0.6× 6.2k 2.9× 780 0.6× 647 0.6× 273 0.4× 121 7.7k
Naser El‐Sheimy Canada 46 5.1k 1.5× 1.1k 0.5× 579 0.4× 623 0.6× 293 0.4× 385 8.3k
Li‐Ta Hsu Hong Kong 38 3.6k 1.0× 631 0.3× 316 0.2× 559 0.6× 268 0.4× 236 4.8k

Countries citing papers authored by Fu Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Fu Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fu Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Fu Zhang. A scholar is included among the top collaborators of Fu Zhang 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 Fu Zhang. Fu Zhang 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.
Zhang, Zhao, Zeping Wang, C. Igathinathane, et al.. (2025). GLS-YOLOv8n: a lightweight ‘Guiqi’ mango detection model via RGB-depth-thermal image fusion. Computers and Electronics in Agriculture. 242. 111355–111355.
2.
Wu, Gang, et al.. (2025). Industrial device-aided data collection for real-time rail defect detection via a lightweight network. Engineering Applications of Artificial Intelligence. 161. 112102–112102. 1 indexed citations
3.
Wang, Shiyi, et al.. (2025). M2UD: A multi-model, multi-scenario, uneven-terrain dataset for ground robot with localization and mapping evaluation. The International Journal of Robotics Research.
4.
Wan, Yan, et al.. (2025). Mesh-Learner: Texturing Mesh with Spherical Harmonics. 19399–19406.
5.
6.
Zheng, Chunran, Wei Xu, Chongjian Yuan, et al.. (2024). FAST-LIVO2: Fast, Direct LiDAR–Inertial–Visual Odometry. IEEE Transactions on Robotics. 41. 326–346. 34 indexed citations
7.
Cai, Yixi, Chongjian Yuan, Chunran Zheng, et al.. (2024). Large-Scale Multi-Session Point-Cloud Map Merging. IEEE Robotics and Automation Letters. 10(1). 88–95. 2 indexed citations
8.
Yuan, Chongjian, et al.. (2024). BTC: A Binary and Triangle Combined Descriptor for 3-D Place Recognition. IEEE Transactions on Robotics. 40. 1580–1599. 18 indexed citations
9.
Chen, Nan, Xiyuan Liu, Wei Xu, et al.. (2024). MARS-LVIG dataset: A multi-sensor aerial robots SLAM dataset for LiDAR-visual-inertial-GNSS fusion. The International Journal of Robotics Research. 43(8). 1114–1127. 17 indexed citations
10.
Liu, Yu-Fei, et al.. (2023). Crack assessment using multi-sensor fusion simultaneous localization and mapping (SLAM) and image super-resolution for bridge inspection. Automation in Construction. 155. 105047–105047. 31 indexed citations
11.
He, Dongjiao, Wei Xu, Nan Chen, et al.. (2023). Point‐LIO: Robust High‐Bandwidth Light Detection and Ranging Inertial Odometry. Advanced Intelligent Systems. 5(7). 22 indexed citations
12.
He, Dongjiao, Wei Xu, & Fu Zhang. (2023). Symbolic Representation and Toolkit Development of Iterated Error-State Extended Kalman Filters on Manifolds. IEEE Transactions on Industrial Electronics. 70(12). 12533–12544. 17 indexed citations
13.
Chen, Nan, Fanze Kong, Wei Xu, et al.. (2023). A self-rotating, single-actuated UAV with extended sensor field of view for autonomous navigation. Science Robotics. 8(76). eade4538–eade4538. 37 indexed citations
14.
He, Dongjiao, et al.. (2023). Robocentric Model-Based Visual Servoing for Quadrotor Flights. IEEE/ASME Transactions on Mechatronics. 28(4). 2155–2166. 17 indexed citations
15.
He, Dongjiao, Wei Xu, Nan Chen, et al.. (2023). Point‐LIO: Robust High‐Bandwidth Light Detection and Ranging Inertial Odometry. SHILAP Revista de lepidopterología. 5(7). 71 indexed citations
16.
Zheng, Chunran, et al.. (2022). FAST-LIVO: Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4003–4009. 121 indexed citations breakdown →
17.
Wang, Shen, Wenqi Zhu, Fu Zhang, et al.. (2022). Genetic bioaugmentation with triclocarban-catabolic plasmid effectively removes triclocarban from wastewater. Environmental Research. 214(Pt 2). 113921–113921. 18 indexed citations
18.
Xu, Wei, Dongjiao He, Yixi Cai, & Fu Zhang. (2022). Robots’ State Estimation and Observability Analysis Based on Statistical Motion Models. IEEE Transactions on Control Systems Technology. 30(5). 2030–2045. 12 indexed citations
19.
Xu, Wei, Yixi Cai, Dongjiao He, Jiarong Lin, & Fu Zhang. (2022). FAST-LIO2: Fast Direct LiDAR-Inertial Odometry. IEEE Transactions on Robotics. 38(4). 2053–2073. 805 indexed citations breakdown →
20.
Li, Juntao, Fu Zhang, Yan Gu, et al.. (2021). Forensic aspects about fatal morphine intoxication of an unusual body packer: Case report and literature review. SHILAP Revista de lepidopterología. 3. 100207–100207. 3 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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