Peihu Duan

604 total citations
29 papers, 448 citations indexed

About

Peihu Duan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Peihu Duan has authored 29 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 16 papers in Artificial Intelligence and 14 papers in Control and Systems Engineering. Recurrent topics in Peihu Duan's work include Distributed Control Multi-Agent Systems (20 papers), Target Tracking and Data Fusion in Sensor Networks (16 papers) and Stability and Control of Uncertain Systems (9 papers). Peihu Duan is often cited by papers focused on Distributed Control Multi-Agent Systems (20 papers), Target Tracking and Data Fusion in Sensor Networks (16 papers) and Stability and Control of Uncertain Systems (9 papers). Peihu Duan collaborates with scholars based in China, Hong Kong and Sweden. Peihu Duan's co-authors include Zhisheng Duan, Guanrong Chen, Kexin Liu, Ling Shi, Yuezu Lv, Haibin Cai, Jinhu Lü, Na Huang, Qishao Wang and Lidong He and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Cybernetics.

In The Last Decade

Peihu Duan

28 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peihu Duan China 11 321 211 166 56 46 29 448
D.P. Spanos United States 8 532 1.7× 142 0.7× 142 0.9× 88 1.6× 40 0.9× 9 612
Renquan Lu China 10 355 1.1× 315 1.5× 86 0.5× 44 0.8× 34 0.7× 14 481
Bryan Van Scoy United States 7 228 0.7× 106 0.5× 89 0.5× 79 1.4× 19 0.4× 19 359
Jieqiang Wei Sweden 10 198 0.6× 159 0.8× 36 0.2× 76 1.4× 37 0.8× 31 362
Zhijian Cheng China 6 290 0.9× 414 2.0× 93 0.6× 64 1.1× 28 0.6× 13 548
Massimiliano d’Angelo Italy 13 255 0.8× 207 1.0× 131 0.8× 62 1.1× 20 0.4× 44 390
Stefano Battilotti Italy 16 249 0.8× 707 3.4× 127 0.8× 39 0.7× 78 1.7× 109 864
Qinghua Hou China 10 179 0.6× 258 1.2× 64 0.4× 68 1.2× 16 0.3× 16 387

Countries citing papers authored by Peihu Duan

Since Specialization
Citations

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

Fields of papers citing papers by Peihu Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peihu Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Peihu Duan. A scholar is included among the top collaborators of Peihu Duan 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 Peihu Duan. Peihu Duan 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.
Dai, H. L., Junjie Fu, Peihu Duan, Guanghui Wen, & Tingwen Huang. (2025). Distributed State Estimation Under Multistep Random Transmission Delay and Packet Loss. IEEE Transactions on Aerospace and Electronic Systems. 61(5). 11875–11887.
2.
Duan, Peihu, Tao Liu, Yu Xing, & Karl Henrik Johansson. (2025). Robust data-driven Kalman filtering for unknown linear systems using maximum likelihood optimization. Automatica. 180. 112474–112474. 1 indexed citations
3.
Duan, Peihu, Yuezu Lv, Guanghui Wen, & Maciej Ogorzałek. (2024). A Framework on Fully Distributed State Estimation and Cooperative Stabilization of LTI Plants. IEEE Transactions on Automatic Control. 69(10). 6746–6761. 3 indexed citations
4.
Duan, Peihu, Tao Liu, Yuezu Lv, & Guanghui Wen. (2024). Cooperative Control of Multichannel Linear Systems With Self-Organizing Private Agents. IEEE Transactions on Control of Network Systems. 11(4). 1937–1948. 4 indexed citations
5.
Duan, Peihu, et al.. (2023). Stability Analysis of Constrained Distributed Nonlinear and Linear Kalman Filters for Dynamical Systems With State Constraints. IEEE Transactions on Aerospace and Electronic Systems. 60(1). 632–643. 9 indexed citations
6.
Duan, Zhisheng, et al.. (2023). Observation of Periodic Systems: Bridge Centralized Kalman Filtering and Consensus-Based Distributed Filtering. IEEE Transactions on Automatic Control. 68(12). 8103–8110. 5 indexed citations
7.
Duan, Peihu, Lidong He, Zhisheng Duan, & Ling Shi. (2022). Distributed Cooperative LQR Design for Multi-Input Linear Systems. IEEE Transactions on Control of Network Systems. 10(2). 680–692. 10 indexed citations
8.
Li, Shilei, et al.. (2022). Compact Maximum Correntropy-Based Error State Kalman Filter for Exoskeleton Orientation Estimation. IEEE Transactions on Control Systems Technology. 31(2). 913–920. 9 indexed citations
9.
Duan, Peihu, Lidong He, Lingying Huang, Guanrong Chen, & Ling Shi. (2022). Sensor scheduling design for complex networks under a distributed state estimation framework. Automatica. 146. 110628–110628. 15 indexed citations
10.
Duan, Peihu, Lingying Huang, & Yuezu Lv. (2022). A Novel Modeling and Scheduling Method for Modern Roundabouts. IFAC-PapersOnLine. 55(3). 108–112. 1 indexed citations
11.
Duan, Peihu, et al.. (2022). Consensus-based distributed filtering with fusion step analysis. Automatica. 142. 110408–110408. 21 indexed citations
12.
Duan, Peihu, et al.. (2022). Distributed State Estimation for Continuous-Time Linear Systems With Correlated Measurement Noise. IEEE Transactions on Automatic Control. 67(9). 4614–4628. 19 indexed citations
13.
Duan, Peihu, et al.. (2022). Stochastic Event-triggered Variational Bayesian Filtering. IEEE Transactions on Automatic Control. 1–8. 6 indexed citations
14.
Duan, Peihu, et al.. (2021). Relative State Formation-based Warehouse Multi-robot Collaborative Parcel Moving. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 6 indexed citations
15.
Lv, Yuezu, et al.. (2021). Output Tracking based Distributed State Estimation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 117. 146–150. 1 indexed citations
16.
Duan, Peihu, et al.. (2021). Fully Distributed Filtering With a Stochastic Event-Triggered Mechanism. IEEE Transactions on Control of Network Systems. 9(2). 753–762. 14 indexed citations
17.
Duan, Peihu, Zhisheng Duan, Guanrong Chen, & Ling Shi. (2020). Distributed state estimation for uncertain linear systems: A regularized least-squares approach. Automatica. 117. 109007–109007. 34 indexed citations
18.
Duan, Peihu, et al.. (2020). Distributed Kalman filtering for uncertain dynamic systems with state constraints. International Journal of Robust and Nonlinear Control. 31(2). 496–508. 10 indexed citations
19.
Duan, Peihu, Zhisheng Duan, Yuezu Lv, & Guanrong Chen. (2019). Distributed Finite-Horizon Extended Kalman Filtering for Uncertain Nonlinear Systems. IEEE Transactions on Cybernetics. 51(2). 512–520. 58 indexed citations
20.
Duan, Peihu, Zhisheng Duan, & Jingyao Wang. (2017). Task-space fully distributed tracking control of networked uncertain robotic manipulators without velocity measurements. International Journal of Control. 92(6). 1367–1380. 9 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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