Xunhua Dai

792 total citations
25 papers, 507 citations indexed

About

Xunhua Dai is a scholar working on Aerospace Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Xunhua Dai has authored 25 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Aerospace Engineering, 14 papers in Control and Systems Engineering and 4 papers in Automotive Engineering. Recurrent topics in Xunhua Dai's work include Adaptive Control of Nonlinear Systems (6 papers), Aerospace Engineering and Control Systems (6 papers) and Fault Detection and Control Systems (4 papers). Xunhua Dai is often cited by papers focused on Adaptive Control of Nonlinear Systems (6 papers), Aerospace Engineering and Control Systems (6 papers) and Fault Detection and Control Systems (4 papers). Xunhua Dai collaborates with scholars based in China, Japan and Hong Kong. Xunhua Dai's co-authors include Quan Quan, Kai‐Yuan Cai, Xiaowei Zhang, Shuai Wang, Fengxiao Tang, Shuai Wang, Zhiyu Xi, Nei Kato, Ming Zhao and Kun Xiao and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, The International Journal of Robotics Research and Neurocomputing.

In The Last Decade

Xunhua Dai

22 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xunhua Dai China 13 293 217 116 64 62 25 507
Frank Thielecke Germany 14 264 0.9× 308 1.4× 75 0.6× 62 1.0× 42 0.7× 122 625
Ioannis A. Raptis United States 10 214 0.7× 430 2.0× 73 0.6× 38 0.6× 32 0.5× 40 575
Éric Gagnon Canada 11 249 0.8× 156 0.7× 96 0.8× 75 1.2× 30 0.5× 36 439
R. Sutton United Kingdom 4 199 0.7× 103 0.5× 140 1.2× 23 0.4× 43 0.7× 4 376
Cuong C. Quach United States 11 180 0.6× 118 0.5× 56 0.5× 40 0.6× 109 1.8× 28 475
Emil Fresk Sweden 10 268 0.9× 227 1.0× 192 1.7× 32 0.5× 35 0.6× 21 466
Mohammadreza Radmanesh United States 10 432 1.5× 94 0.4× 378 3.3× 20 0.3× 37 0.6× 26 608
Luis E. González-Jiménez Mexico 9 103 0.4× 104 0.5× 95 0.8× 103 1.6× 50 0.8× 34 370
Ömer Çetin Türkiye 11 267 0.9× 198 0.9× 198 1.7× 35 0.5× 51 0.8× 22 511
Mohamed Boumehraz Algeria 11 90 0.3× 276 1.3× 85 0.7× 133 2.1× 92 1.5× 38 475

Countries citing papers authored by Xunhua Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xunhua Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xunhua Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xunhua Dai. A scholar is included among the top collaborators of Xunhua Dai 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 Xunhua Dai. Xunhua Dai 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.
Nian, Xiaohong, et al.. (2025). Formation and Obstacle Avoidance Control Based on Multi-Agent Reinforcement Learning. IEEE Transactions on Network Science and Engineering. 12(5). 3511–3526.
2.
Chen, Yong, et al.. (2025). Pursuit-evasion game with online planning using deep reinforcement learning. Applied Intelligence. 55(7). 4 indexed citations
3.
Dai, Xunhua, et al.. (2025). RflyMAD: A dataset for multicopter fault detection and health assessment. The International Journal of Robotics Research. 44(7). 1081–1092. 5 indexed citations
5.
Gong, Jing, et al.. (2025). BMTM-net: A rotating machinery fault diagnosis network based on 2D-1D fusion with bidirectional multi-granularity transformer-mamba. Neurocomputing. 656. 131293–131293. 1 indexed citations
6.
Chen, Yong, et al.. (2025). Distributed Model Predictive Formation Control of Micro Multirotor UAVs With Virtual Tube. IEEE Transactions on Aerospace and Electronic Systems. 61(4). 9476–9489.
7.
Dai, Xunhua, et al.. (2023). Multiagent RL-Based Joint Trajectory Scheduling and Resource Allocation in NOMA-Assisted UAV Swarm Network. IEEE Internet of Things Journal. 11(8). 14153–14167. 11 indexed citations
8.
Dai, Xunhua, et al.. (2023). Safety Assessment Approach to UAVs Based on Profust Safety Index and HIL Simulation. IEEE/ASME Transactions on Mechatronics. 29(5). 3336–3347. 1 indexed citations
9.
Dai, Xunhua, et al.. (2023). Intelligent Configuration Method Based on UAV-Driven Frequency Selective Surface for Communication Band Shielding. IEEE Internet of Things Journal. 10(13). 11507–11517. 15 indexed citations
10.
Dai, Xunhua, et al.. (2022). An Adaptive Updating Method of Target Network Based on Moment Estimates for Deep Reinforcement Learning. Neural Processing Letters. 55(5). 5515–5537. 2 indexed citations
11.
Dai, Xunhua, Quan Quan, & Kai‐Yuan Cai. (2021). Design Automation and Optimization Methodology for Electric Multicopter Unmanned Aerial Robots. IEEE Transactions on Automation Science and Engineering. 19(3). 2354–2368. 8 indexed citations
12.
Xiao, Kun, et al.. (2021). A Lifting Wing Fixed on Multirotor UAVs for Long Flight Ranges. 1605–1610. 10 indexed citations
13.
Dai, Xunhua, et al.. (2020). Simulation Credibility Assessment Methodology With FPGA-based Hardware-in-the-Loop Platform. IEEE Transactions on Industrial Electronics. 68(4). 3282–3291. 21 indexed citations
14.
Dai, Xunhua, Quan Quan, Shuai Wang, & Quan Quan. (2020). Multicopter Design and Control Practice : A Series Experiments based on MATLAB and Pixhawk. 4 indexed citations
15.
Dai, Xunhua, et al.. (2019). An Analytical Design-Optimization Method for Electric Propulsion Systems of Multicopter UAVs With Desired Hovering Endurance. IEEE/ASME Transactions on Mechatronics. 24(1). 228–239. 51 indexed citations
16.
Dai, Xunhua, et al.. (2019). Hose-Drum-Unit Modeling and Control for Probe-and-Drogue Autonomous Aerial Refueling. IEEE Transactions on Aerospace and Electronic Systems. 56(4). 2779–2791. 16 indexed citations
17.
Dai, Xunhua, et al.. (2018). Efficiency Optimization and Component Selection for Propulsion Systems of Electric Multicopters. IEEE Transactions on Industrial Electronics. 66(10). 7800–7809. 33 indexed citations
18.
Dai, Xunhua, et al.. (2018). Terminal Iterative Learning Control for Autonomous Aerial Refueling Under Aerodynamic Disturbances. Journal of Guidance Control and Dynamics. 41(7). 1577–1584. 17 indexed citations
19.
Dai, Xunhua, et al.. (2018). Iterative learning control and initial value estimation for probe–drogue autonomous aerial refueling of UAVs. Aerospace Science and Technology. 82-83. 583–593. 23 indexed citations
20.
Dai, Xunhua, et al.. (2017). A Practical Performance Evaluation Method for Electric Multicopters. IEEE/ASME Transactions on Mechatronics. 22(3). 1337–1348. 94 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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