Ming Gao

2.5k total citations
145 papers, 1.8k citations indexed

About

Ming Gao is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Ming Gao has authored 145 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Control and Systems Engineering, 44 papers in Computer Networks and Communications and 31 papers in Artificial Intelligence. Recurrent topics in Ming Gao's work include Fault Detection and Control Systems (37 papers), Stability and Control of Uncertain Systems (35 papers) and Neural Networks Stability and Synchronization (27 papers). Ming Gao is often cited by papers focused on Fault Detection and Control Systems (37 papers), Stability and Control of Uncertain Systems (35 papers) and Neural Networks Stability and Synchronization (27 papers). Ming Gao collaborates with scholars based in China, United Kingdom and Germany. Ming Gao's co-authors include Li Sheng, Donghua Zhou, Yichun Niu, Weihai Zhang, Xia Hong, C.J. Harris, Sheng Chen, Baotong Cui, Zidong Wang and Yinghong Zhao and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and IEEE Transactions on Automatic Control.

In The Last Decade

Ming Gao

133 papers receiving 1.8k citations

Peers

Ming Gao

CSE

CNC

EEE

CTM

Prashant G. Mehta United States

Han-Fu Chen China

Xiaolei Li China

Hamid Khaloozadeh Iran

Minghui Zhu United States

Weiguo Sheng China

B. Porter United Kingdom

Yun Chen China

Walmir M. Caminhas Brazil

Marco F. Huber Germany

Prashant G. Mehta United States

Ming Gao

736 ×0.7

CSE

279 ×0.5

CNC

435 ×0.8

274 ×1.2

EEE

173 ×1.3

CTM

Citations per year, relative to Ming Gao Ming Gao (= 1×) peers Prashant G. Mehta

Countries citing papers authored by Ming Gao

Since Specialization

Citations

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

Fields of papers citing papers by Ming Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Gao. A scholar is included among the top collaborators of Ming 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 Ming Gao. Ming Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gao, Ming, et al.. (2024). Intermittent Sensor Fault Detection for a Class of Nonlinear Systems via Predefined-Time Observer. IEEE Transactions on Industrial Informatics. 20(10). 12092–12102. 8 indexed citations

Gao, Ming, et al.. (2024). Fixed-time active fault-tolerant control for dynamical systems with intermittent faults and unknown disturbances. Applied Mathematics and Computation. 486. 129054–129054. 2 indexed citations

Gao, Ming, et al.. (2024). Fixed-time active fault-tolerant control for a class of nonlinear systems with intermittent faults and input saturation. Journal of Process Control. 143. 103319–103319. 2 indexed citations

Sheng, Li, et al.. (2023). Anti-saturation fault-tolerant control for Markov jump nonlinear systems with unknown control coefficients and unmodeled dynamics. Nonlinear Analysis Hybrid Systems. 50. 101384–101384. 6 indexed citations

Niu, Yichun, Li Sheng, Ming Gao, & Donghua Zhou. (2023). Optimal Fault Detection for Stochastic Linear Time-Varying Systems by $\chi ^{2}$ Test. IEEE Transactions on Automatic Control. 69(4). 2294–2307. 3 indexed citations

Sheng, Li, Yuechao Wang, Ming Gao, Yichun Niu, & Donghua Zhou. (2022). Finite-Time $H_\infty$ Filtering for Nonlinear Stochastic Systems with Multiplicative Noises via Carleman Linearization Technique. IEEE Transactions on Aerospace and Electronic Systems. 1–11. 6 indexed citations

Sheng, Li, et al.. (2022). Adaptive fault‐tolerant tracking control for nonlinear systems with unknown control coefficient and input saturation. International Journal of Adaptive Control and Signal Processing. 37(2). 414–435. 2 indexed citations

Gao, Ming, Yichun Niu, Li Sheng, & Donghua Zhou. (2022). Quantitative analysis of incipient fault detectability for time-varying stochastic systems based on weighted moving average approach. Applied Mathematics and Computation. 434. 127472–127472. 7 indexed citations

Niu, Yichun, Li Sheng, Ming Gao, & Donghua Zhou. (2022). Accelerometer Fault Detection for Rotary Steerable Drilling Tool Systems Under Strong Noises. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 16 indexed citations

10.

Wang, Shengliang, et al.. (2022). Low-Cost Single-Frequency DGNSS/DBA Combined Positioning Research and Performance Evaluation. Remote Sensing. 14(3). 586–586. 6 indexed citations

11.

Li, Chunyu, Li Sheng, & Ming Gao. (2022). Minimal-order observer-based distributed fault detection and isolation for stochastic multi-agent systems. Journal of the Franklin Institute. 359(10). 5056–5077. 5 indexed citations

12.

Gao, Ming, Yichun Niu, & Li Sheng. (2022). Distributed Fault-Tolerant State Estimation for a Class of Nonlinear Systems Over Sensor Networks With Sensor Faults and Random Link Failures. IEEE Systems Journal. 16(4). 6328–6337. 16 indexed citations

13.

Sheng, Li, et al.. (2022). Closed-loop intermittent sensor fault detection for linear stochastic time-delay systems with unknown disturbances. International Journal of Control. 96(11). 2827–2838. 6 indexed citations

14.

Niu, Yichun, Li Sheng, Ming Gao, & Donghua Zhou. (2021). Distributed Intermittent Fault Detection for Linear Stochastic Systems Over Sensor Network. IEEE Transactions on Cybernetics. 52(9). 9208–9218. 53 indexed citations

15.

Sheng, Li, et al.. (2021). Consensus‐based unscented Kalman filtering over sensor networks with communication protocols. International Journal of Robust and Nonlinear Control. 31(13). 6349–6368. 13 indexed citations

16.

Wang, Jiachen, et al.. (2020). BDS receiver antenna phase center calibration. SHILAP Revista de lepidopterología. 1 indexed citations

17.

Sheng, Li, et al.. (2020). Fault estimation for nonlinear systems with sensor gain degradation and stochastic protocol based on strong tracking filtering. Systems Science & Control Engineering. 9(sup2). 60–70. 21 indexed citations

18.

Sheng, Li, et al.. (2019). H∞ consensus control with spectrum constraints for stochastic multi-agent systems subject to (x, u, v)-dependent noises. Applied Mathematics and Computation. 362. 124560–124560. 4 indexed citations

19.

Gao, Ming, et al.. (2019). Fault diagnosis for time-varying systems with multiplicative noises over sensor networks subject to Round-Robin protocol. Neurocomputing. 346. 65–72. 29 indexed citations

20.

Gao, Ming, et al.. (2019). Distributed Fault Estimation for Time-Varying Multi-Agent Systems With Sensor Faults and Partially Decoupled Disturbances. IEEE Access. 7. 147905–147913. 16 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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