Shuli Sun

6.2k total citations · 1 hit paper
189 papers, 4.7k citations indexed

About

Shuli Sun is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Shuli Sun has authored 189 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Control and Systems Engineering, 140 papers in Artificial Intelligence and 114 papers in Computer Networks and Communications. Recurrent topics in Shuli Sun's work include Target Tracking and Data Fusion in Sensor Networks (138 papers), Distributed Sensor Networks and Detection Algorithms (98 papers) and Fault Detection and Control Systems (94 papers). Shuli Sun is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (138 papers), Distributed Sensor Networks and Detection Algorithms (98 papers) and Fault Detection and Control Systems (94 papers). Shuli Sun collaborates with scholars based in China, Singapore and Nigeria. Shuli Sun's co-authors include Jing Ma, Zili Deng, Honglei Lin, Wendong Xiao, Lihua Xie, Xiuying Li, Na Li, Jing Ma, Yeng Chai Soh and Tian Tian and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Journal of Computational Physics.

In The Last Decade

Shuli Sun

175 papers receiving 4.5k citations

Hit Papers

Multi-sensor optimal information fusion Kalman filter 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuli Sun China 35 3.5k 3.3k 2.9k 429 311 189 4.7k
Giorgio Battistelli Italy 36 2.3k 0.7× 2.7k 0.8× 2.4k 0.8× 726 1.7× 566 1.8× 189 5.0k
Michael Basin Mexico 44 5.8k 1.7× 1.1k 0.3× 2.2k 0.7× 681 1.6× 511 1.6× 334 6.9k
Lei Zou China 38 3.3k 0.9× 1.3k 0.4× 2.8k 1.0× 238 0.6× 774 2.5× 138 5.1k
Zili Deng China 26 2.0k 0.6× 2.3k 0.7× 1.3k 0.5× 594 1.4× 252 0.8× 191 2.9k
Yunmin Zhu China 25 1.2k 0.4× 1.7k 0.5× 1.3k 0.4× 330 0.8× 231 0.7× 117 2.2k
Iman Shames Australia 29 2.2k 0.6× 1.0k 0.3× 2.2k 0.8× 589 1.4× 788 2.5× 161 3.9k
Edwin E. Yaz United States 26 2.2k 0.6× 1.0k 0.3× 825 0.3× 305 0.7× 431 1.4× 201 3.2k
Guoxing Wen China 30 3.4k 1.0× 834 0.3× 2.4k 0.8× 337 0.8× 418 1.3× 68 4.7k
Lifeng Ma China 37 2.5k 0.7× 918 0.3× 2.4k 0.8× 110 0.3× 454 1.5× 108 3.9k
Jiuxiang Dong China 43 4.4k 1.3× 805 0.2× 2.4k 0.8× 224 0.5× 500 1.6× 231 5.3k

Countries citing papers authored by Shuli Sun

Since Specialization
Citations

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

Fields of papers citing papers by Shuli Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuli Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Shuli Sun. A scholar is included among the top collaborators of Shuli Sun 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 Shuli Sun. Shuli Sun 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, Minghu & Shuli Sun. (2025). Distributed reduced-order Kalman consensus filter for multisensor networked descriptor systems. Signal Processing. 234. 109991–109991.
2.
Sun, Shuli, et al.. (2024). Research on optimization method for passive control strategy in CLLC-SMES system based on BP neural network. Journal of Energy Storage. 86. 111175–111175. 7 indexed citations
3.
Sun, Shuli, et al.. (2024). Identification and distributed fusion filter for multi-sensor networked systems with stochastic deception attacks. Digital Signal Processing. 151. 104529–104529. 3 indexed citations
4.
Chen, Xinxin & Shuli Sun. (2023). Resonance Detection Method and Realization of Bearing Fault Signal Based on Kalman Filter and Spectrum Analysis. Applied Sciences. 13(3). 1472–1472. 2 indexed citations
5.
Sun, Shuli, et al.. (2023). Distributed filtering for multi-sensor networked systems with stochastic communication protocol and correlated noises. Information Fusion. 104. 102121–102121. 10 indexed citations
6.
Zhang, Lei & Shuli Sun. (2023). Distributed H∞ fusion filtering for multi-sensor networked systems with DoS attacks and sensor saturations. Digital Signal Processing. 134. 103908–103908. 10 indexed citations
7.
Ma, Jing & Shuli Sun. (2023). Globally optimal distributed and sequential state fusion filters for multi-sensor systems with correlated noises. Information Fusion. 99. 101885–101885. 13 indexed citations
8.
Shen, Yuqing & Shuli Sun. (2023). Design of distributed recursive filters based on data compression for sensor networks. Signal Processing. 207. 108937–108937. 7 indexed citations
9.
Jin, Hao & Shuli Sun. (2021). Distributed Kalman Filters With Random Sensor Activation and Noisy Channels. IEEE Sensors Journal. 21(24). 27659–27675. 24 indexed citations
10.
Ma, Hui, et al.. (2013). A Finger Vein Recognition Method Using Improved Oriented Filter and Elastic Registration. Research Journal of Applied Sciences Engineering and Technology. 6(7). 1153–1159. 1 indexed citations
11.
Ma, Jing & Shuli Sun. (2013). Suboptimal fusion estimation for systems with random delay, packet dropout and uncertain observation. Chinese Control Conference. 4553–4558. 1 indexed citations
12.
Ma, Jing & Shuli Sun. (2012). Distributed fusion filter for multi-sensor systems with random sensor delays, multiple packet dropouts and uncertain observations. International Conference on Information Fusion. 1036–1043. 2 indexed citations
13.
Sun, Shuli. (2012). Optimal linear estimators for networked control systems with finite consecutive packet dropouts. Control theory & applications. 2 indexed citations
14.
Lin, Honglei, Jing Ma, & Shuli Sun. (2012). Design of filters for a class of non-uniform sampling systems. Chinese Control Conference. 1995–1999.
15.
Ma, Jing, Lifang Liu, & Shuli Sun. (2011). White noise filters for systems with multiple packet dropouts. Chinese Control Conference. 1586–1590. 2 indexed citations
16.
Sun, Shuli. (2010). Weighted measurement fusion estimation algorithm with correlated noises and its global optimality. Systems engineering and electronics. 10 indexed citations
17.
Qu, Dongmei, Jing Ma, & Shuli Sun. (2010). Multi-sensor distributed fusion filter for stochastic singular systems with unknown input. Chinese Control Conference. 1431–1435. 1 indexed citations
18.
Ma, Jing, et al.. (2009). State and disturbance estimators for systems with missing measurements and unknown disturbances. Asian Control Conference. 166–169. 1 indexed citations
19.
Liu, Jianfei, et al.. (2006). Optimal Tetrahedralization for Small Polyhedron: A New Local Transformation Strategy for 3-D Mesh Generation and Mesh Improvement. Computer Modeling in Engineering & Sciences. 14(1). 31–44. 11 indexed citations
20.
Sun, Shuli. (2004). Multi-sensor optimal information fusion steady-state Kalman filter weighted by scalars. Kongzhi yu juece. 8 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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