Shesheng Gao

2.9k total citations
102 papers, 2.3k citations indexed

About

Shesheng Gao is a scholar working on Artificial Intelligence, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Shesheng Gao has authored 102 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 56 papers in Aerospace Engineering and 24 papers in Control and Systems Engineering. Recurrent topics in Shesheng Gao's work include Target Tracking and Data Fusion in Sensor Networks (73 papers), Inertial Sensor and Navigation (53 papers) and Fault Detection and Control Systems (18 papers). Shesheng Gao is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (73 papers), Inertial Sensor and Navigation (53 papers) and Fault Detection and Control Systems (18 papers). Shesheng Gao collaborates with scholars based in China, Australia and Pakistan. Shesheng Gao's co-authors include Yongmin Zhong, Gaoge Hu, Bingbing Gao, Chengfan Gu, Aleksandar Subic, Bijan Shirinzadeh, Wenhui Wei, Wei Li, Zhaohui Gao and Xueyuan Zhang and has published in prestigious journals such as IEEE Access, Sensors and Information Sciences.

In The Last Decade

Shesheng Gao

92 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shesheng Gao China 26 1.4k 1.3k 503 362 283 102 2.3k
X. Rong Li United States 26 1.7k 1.3× 919 0.7× 750 1.5× 382 1.1× 144 0.5× 171 2.4k
Xiaorong Li China 11 1.6k 1.2× 776 0.6× 694 1.4× 296 0.8× 144 0.5× 19 2.3k
Umut Orguner Sweden 30 1.9k 1.4× 1.0k 0.8× 700 1.4× 799 2.2× 231 0.8× 109 2.9k
Chan Gook Park South Korea 29 1.0k 0.8× 1.8k 1.4× 401 0.8× 1.1k 3.0× 447 1.6× 246 2.8k
Rickard Karlsson Sweden 26 1.5k 1.1× 1.0k 0.8× 455 0.9× 762 2.1× 450 1.6× 66 2.9k
Ángel F. García‐Fernández Spain 24 1.3k 0.9× 574 0.4× 223 0.4× 249 0.7× 235 0.8× 104 1.8k
Karl Granström Sweden 33 2.5k 1.8× 1.5k 1.1× 226 0.4× 648 1.8× 280 1.0× 82 3.2k
P.-J. Nordlund Sweden 6 1.2k 0.9× 619 0.5× 285 0.6× 596 1.6× 264 0.9× 8 1.8k
Yan Liang China 25 1.3k 0.9× 546 0.4× 1.0k 2.1× 334 0.9× 184 0.7× 232 2.3k
Xiyuan Chen China 29 1.1k 0.8× 1.4k 1.1× 378 0.8× 1.1k 3.0× 493 1.7× 190 2.9k

Countries citing papers authored by Shesheng Gao

Since Specialization
Citations

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

Fields of papers citing papers by Shesheng Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shesheng Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Shesheng Gao. A scholar is included among the top collaborators of Shesheng Gao 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 Shesheng Gao. Shesheng Gao 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.
Gao, Shesheng, et al.. (2024). Linear and nonlinear filters based on statistical similarity measure for sensor network systems. Journal of the Franklin Institute. 362(1). 107412–107412.
2.
Gao, Shesheng, et al.. (2023). Enhanced sparrow search algorithm based on improved game predatory mechanism and its application. Digital Signal Processing. 145. 104310–104310. 5 indexed citations
3.
Gao, Shesheng, et al.. (2023). Tightly coupled INS/CNS/spectral redshift integrated navigation system with the aid of redshift error measurement. Science China Technological Sciences. 66(9). 2597–2610. 11 indexed citations
4.
Gao, Bingbing, et al.. (2022). A Hypothesis Test-Constrained Robust Kalman Filter for INS/GNSS Integration With Abnormal Measurement. IEEE Transactions on Vehicular Technology. 72(2). 1662–1673. 52 indexed citations
5.
Gao, Shesheng, et al.. (2021). Spectral redshift observation-based SINS/SRS/CNS integration with an adaptive fault-tolerant cubature Kalman filter. Measurement Science and Technology. 32(9). 95103–95103. 12 indexed citations
6.
Zhang, Jiahao, et al.. (2021). Distributed adaptive cubature information filtering for bounded noise system in wireless sensor networks. International Journal of Robust and Nonlinear Control. 31(10). 4869–4896. 8 indexed citations
7.
Xia, Juan, et al.. (2020). Distributed cubature H-infinity information filtering for target tracking against uncertain noise statistics. Signal Processing. 177. 107725–107725. 22 indexed citations
8.
Pei, Yifei, Zhaohui Gao, Yongmin Zhong, et al.. (2019). A Quaternion‐Based Robust Adaptive Spherical Simplex Unscented Particle Filter for MINS/VNS/GNS Integrated Navigation System. Mathematical Problems in Engineering. 2019(1). 13 indexed citations
9.
Gao, Shesheng, et al.. (2019). An Indirect Location Method for Indoor Target Tracking Based on Single Acoustic Vector Sensor. 2247–2251. 1 indexed citations
10.
Zhou, Shiyong, et al.. (2018). Did the 2008 Mw 7.9 Wenchuan Earthquake Trigger the Occurrence of the 2017 Mw 6.5 Jiuzhaigou Earthquake in Sichuan, China?. Journal of Geophysical Research Solid Earth. 123(4). 2965–2983. 28 indexed citations
11.
Gao, Shesheng, et al.. (2017). Multi-focus image fusion algorithm based on pulse coupled neural networks and modified decision map. Optik. 157. 1003–1015. 22 indexed citations
12.
Gao, Bingbing, et al.. (2017). Variational Bayesian-based adaptive unscented particle filter for BDS/INS integration. 38. 37–40. 2 indexed citations
13.
Gao, Bingbing, et al.. (2016). A Modified Particle Filter for SINS/SAR Integrated Navigation. 1(1). 1 indexed citations
14.
Gao, Shesheng, et al.. (2016). Unscented particle filter based Gaussian process regression for IMU/BDS train integrated positioning. 28. 1070–1073. 2 indexed citations
15.
Wang, Wei, Shesheng Gao, & Yang Meng. (2014). First-principle investigations of the magnetic properties and possible martensitic transformation in Ni2MnX (X=Al, Ga, In, Si, Ge and Sn). Journal of Magnetism and Magnetic Materials. 371. 135–138. 16 indexed citations
16.
Gao, Shesheng, et al.. (2013). Robust Adaptive Unscented Particle Filter. RMIT Research Repository (RMIT University Library). 3(2). 55–66. 4 indexed citations
17.
Gao, Shesheng, Yi Gao, Yongmin Zhong, & Wenhui Wei. (2011). Random Weighting Estimation Method for Dynamic Navigation Positioning. Chinese Journal of Aeronautics. 24(3). 318–323. 24 indexed citations
18.
Gao, Shesheng, Yongmin Zhong, & Wei Li. (2011). Random Weighting Method for Multisensor Data Fusion. IEEE Sensors Journal. 11(9). 1955–1961. 86 indexed citations
19.
Gao, Shesheng. (2010). Research on Technology of Tightly Integrated Navigation based on H_∞ Filter in the High Dynamic Circumstance. Fire Control and Command Control.
20.
Li, Yuren, et al.. (2008). Random weighting approximate of NA sample mean and application research. 35–40. 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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