Xingkai Yu

1.6k total citations · 1 hit paper
26 papers, 273 citations indexed

About

Xingkai Yu is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Xingkai Yu has authored 26 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 14 papers in Control and Systems Engineering and 6 papers in Computer Networks and Communications. Recurrent topics in Xingkai Yu's work include Target Tracking and Data Fusion in Sensor Networks (17 papers), Fault Detection and Control Systems (9 papers) and Distributed Sensor Networks and Detection Algorithms (6 papers). Xingkai Yu is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (17 papers), Fault Detection and Control Systems (9 papers) and Distributed Sensor Networks and Detection Algorithms (6 papers). Xingkai Yu collaborates with scholars based in China, United States and Chile. Xingkai Yu's co-authors include Jianxun Li, Jian Xu, Ling‐Feng Shi, Ziyang Meng, Pu Shi, Chengqi Deng, Chenggang Zhao, Wenfeng Liang, Ruijian Xu and Huazuo Gao and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and IEEE Transactions on Vehicular Technology.

In The Last Decade

Xingkai Yu

24 papers receiving 270 citations

Hit Papers

DeepSeekMoE: Towards Ultimate Expert Specialization in Mi... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingkai Yu China 9 154 112 75 50 21 26 273
Fayçal Ben Hmida Tunisia 14 194 1.3× 490 4.4× 45 0.6× 36 0.7× 8 0.4× 77 607
Felix Govaers Germany 10 318 2.1× 86 0.8× 186 2.5× 110 2.2× 47 2.2× 77 435
Weihao Song China 10 161 1.0× 162 1.4× 215 2.9× 35 0.7× 10 0.5× 16 333
Donald J. Bucci United States 10 114 0.7× 44 0.4× 105 1.4× 113 2.3× 43 2.0× 31 312
Hans Driessen Netherlands 12 264 1.7× 82 0.7× 97 1.3× 116 2.3× 33 1.6× 46 355
Sheng-Dong Xu Taiwan 5 57 0.4× 234 2.1× 70 0.9× 48 1.0× 5 0.2× 10 311
Yaning Xiao China 8 182 1.2× 45 0.4× 22 0.3× 31 0.6× 56 2.7× 11 303
Anirudha Majumdar United States 11 102 0.7× 240 2.1× 31 0.4× 58 1.2× 95 4.5× 14 406
Xiangdong Lin United States 7 296 1.9× 96 0.9× 138 1.8× 158 3.2× 22 1.0× 10 346
E.A. Bloem Netherlands 9 300 1.9× 113 1.0× 96 1.3× 93 1.9× 9 0.4× 13 330

Countries citing papers authored by Xingkai Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xingkai Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingkai Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xingkai Yu. A scholar is included among the top collaborators of Xingkai Yu 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 Xingkai Yu. Xingkai Yu 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.
Chen, Xiaokang, Yiyang Ma, Xingchao Liu, et al.. (2025). Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation. 12966–12977. 1 indexed citations
2.
Xu, Wencong, et al.. (2025). Electric AC Arc Faults Simulation Using Measured Data Based on PCA. IEEE Transactions on Instrumentation and Measurement. 74. 1–10.
3.
Ma, Yiyang, Xingchao Liu, Xiaokang Chen, et al.. (2025). JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation. 7739–7751. 1 indexed citations
4.
Yu, Xingkai, et al.. (2025). Nonsingular Hand-Eye and Robot-World Calibration for SCARA-Type Robots: A Comparative Study. IEEE Transactions on Industrial Informatics. 21(4). 3057–3066. 1 indexed citations
5.
Yu, Xingkai, et al.. (2024). Cooperative Localization and Target Tracking With Data Exception Based on Classification. IEEE Sensors Journal. 24(24). 41347–41356.
6.
Dai, Damai, Chengqi Deng, Chenggang Zhao, et al.. (2024). DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models. 1280–1297. 51 indexed citations breakdown →
7.
Meng, Ziyang, et al.. (2024). A Dual Adaptive Unscented Kalman Filter Algorithm for SINS-Based Integrated Navigation System. Journal of Systems Engineering and Electronics. 35(3). 732–740. 4 indexed citations
8.
Yu, Xingkai, et al.. (2024). Robust Adaptive Filters and Smoothers for Linear Systems With Heavy-Tailed Multiplicative/Additive Noises. IEEE Transactions on Aerospace and Electronic Systems. 60(5). 6717–6733. 3 indexed citations
9.
Yu, Xingkai, et al.. (2024). SCARA+ System: Bin Picking System of Revolution-Symmetry Objects. IEEE Transactions on Industrial Electronics. 71(9). 10976–10986. 4 indexed citations
10.
Yu, Xingkai, et al.. (2023). Scalable Distributed Data-Driven State Estimation Algorithm via Gaussian Processes With Guaranteed Stability. IEEE Transactions on Aerospace and Electronic Systems. 59(6). 9191–9204. 2 indexed citations
11.
Yu, Xingkai, et al.. (2023). Simultaneous Hand-Eye and Target Estimation By 2D-3D Generative Point Alignment. IEEE Transactions on Automation Science and Engineering. 21(4). 7413–7426. 2 indexed citations
12.
Yu, Xingkai & Ziyang Meng. (2023). Robust Kalman Filters With Unknown Covariance of Multiplicative Noise. IEEE Transactions on Automatic Control. 69(2). 1171–1178. 13 indexed citations
13.
Shi, Ling‐Feng, et al.. (2022). Distributed Kalman Filter With Faulty/Reliable Sensors Based on Wasserstein Average Consensus. IEEE Transactions on Circuits & Systems II Express Briefs. 69(4). 2371–2375. 26 indexed citations
14.
Yu, Xingkai, et al.. (2022). Robust Kalman Filter for Linear System With Convex Polytopic Uncertainties. IEEE Transactions on Circuits & Systems II Express Briefs. 70(2). 821–825. 5 indexed citations
15.
Yu, Xingkai & Jianxun Li. (2021). Adaptive Kalman Filtering for Recursive Both Additive Noise and Multiplicative Noise. IEEE Transactions on Aerospace and Electronic Systems. 58(3). 1634–1649. 36 indexed citations
16.
Shi, Pu, Xingkai Yu, & Jianxun Li. (2021). Distributed Kalman filter for linear system with complex multi‐channel stochastic uncertain parameter and decoupled local filters. International Journal of Adaptive Control and Signal Processing. 35(8). 1498–1512. 3 indexed citations
17.
Yu, Xingkai, Pu Shi, & Jianxun Li. (2020). An Optimal Filter for Singular Systems With Stochastic Multiplicative Disturbance. IEEE Transactions on Circuits & Systems II Express Briefs. 67(12). 3607–3611. 10 indexed citations
18.
Yu, Xingkai & Jianxun Li. (2020). Optimal state estimation for singular system with stochastic uncertain parameter. Optimal Control Applications and Methods. 41(4). 1001–1015. 5 indexed citations
19.
Yu, Xingkai, Jianxun Li, & Jian Xu. (2019). Estimation algorithm for system with non‐Gaussian multiplicative/additive noises based on variational Bayesian inference. International Journal of Adaptive Control and Signal Processing. 33(4). 586–608. 8 indexed citations
20.
Yu, Xingkai, Jianxun Li, & Jian Xu. (2018). Nonlinear filtering in unknown measurement noise and target tracking system by variational Bayesian inference. Aerospace Science and Technology. 84. 37–55. 26 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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