Bo Meng

884 total citations
46 papers, 714 citations indexed

About

Bo Meng is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Bo Meng has authored 46 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 16 papers in Computer Networks and Communications and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Bo Meng's work include Stability and Control of Uncertain Systems (14 papers), Adaptive Control of Nonlinear Systems (13 papers) and Neural Networks Stability and Synchronization (12 papers). Bo Meng is often cited by papers focused on Stability and Control of Uncertain Systems (14 papers), Adaptive Control of Nonlinear Systems (13 papers) and Neural Networks Stability and Synchronization (12 papers). Bo Meng collaborates with scholars based in China, Canada and South Korea. Bo Meng's co-authors include Jianwei Xia, Hao Shen, Zhen Wang, Jing Wang, Xiaona Song, Xiangyong Chen, Xinhe Wang, Yunliang Wei, Yingkang Xie and Xiaohui Hu and has published in prestigious journals such as IEEE Transactions on Automatic Control, Expert Systems with Applications and IEEE Access.

In The Last Decade

Bo Meng

41 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Meng China 14 385 320 119 99 78 46 714
Bao Wang China 11 452 1.2× 322 1.0× 63 0.5× 67 0.7× 54 0.7× 24 669
Yiping Luo China 17 403 1.0× 531 1.7× 120 1.0× 189 1.9× 64 0.8× 71 862
Xiaofeng Zong China 17 366 1.0× 495 1.5× 67 0.6× 64 0.6× 52 0.7× 67 896
Long‐Yeu Chung Taiwan 15 370 1.0× 345 1.1× 51 0.4× 85 0.9× 88 1.1× 30 582
Fengqi Yao China 16 453 1.2× 369 1.2× 66 0.6× 137 1.4× 49 0.6× 40 621
Song Liu China 15 350 0.9× 300 0.9× 105 0.9× 136 1.4× 66 0.8× 43 843
Juliang Yin China 14 893 2.3× 332 1.0× 36 0.3× 103 1.0× 74 0.9× 44 1.2k
Kai Wulff Germany 9 903 2.3× 168 0.5× 69 0.6× 61 0.6× 37 0.5× 51 1.0k
Leipo Liu China 17 681 1.8× 275 0.9× 82 0.7× 144 1.5× 51 0.7× 69 829
Xiaoxiao Lv China 14 162 0.4× 495 1.5× 107 0.9× 286 2.9× 100 1.3× 24 652

Countries citing papers authored by Bo Meng

Since Specialization
Citations

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

Fields of papers citing papers by Bo Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Meng. A scholar is included among the top collaborators of Bo Meng 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 Bo Meng. Bo Meng 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.
Meng, Bo, et al.. (2025). Distributed data-driven iterative learning consensus tracking for unknown multi-agent systems using evolutionary neural networks. Engineering Applications of Artificial Intelligence. 149. 110485–110485. 1 indexed citations
2.
Zhang, Jingjing, Bo Meng, Yuyan Liu, et al.. (2025). Establishment and identification of spleen cell line from tiger puffer fish (Takifugu rubripes) and immune transcriptome response to IHNV. Fish & Shellfish Immunology. 161. 110235–110235.
3.
Meng, Bo, et al.. (2025). End-to-end optimization for a wide-field-of-view metalens with an aperture stop. Journal of the Optical Society of America B. 42(5). 1146–1146. 1 indexed citations
4.
Meng, Bo, et al.. (2025). Robust PID-Type Iterative Learning Control for Nonlinear Square and Nonsquare Systems. IEEE Transactions on Neural Networks and Learning Systems. 37(1). 148–160.
5.
Meng, Bo, et al.. (2024). Generalized regression neural networks-based data-driven iterative learning control for nonlinear non-affine discrete-time systems. Expert Systems with Applications. 248. 123339–123339. 7 indexed citations
6.
Meng, Bo, et al.. (2024). Quantized feedback integral sliding mode control for uncertain networked linear systems via event-triggered approach. ISA Transactions. 155. 82–91. 1 indexed citations
7.
Meng, Bo, et al.. (2024). Radial basis function neural network based data-driven iterative learning consensus tracking for unknown multi-agent systems. Applied Soft Computing. 167. 112425–112425. 1 indexed citations
8.
9.
Meng, Bo, et al.. (2024). Fault-tolerant adaptive event-triggered integral sliding mode control for uncertain networked systems under actuator failures. Journal of the Franklin Institute. 361(3). 1544–1554. 5 indexed citations
10.
Shi, Qingyu, Xia Huang, Bo Meng, & Zhen Wang. (2023). Neural network-based iterative learning control for trajectory tracking of unknown SISO nonlinear systems. Expert Systems with Applications. 232. 120863–120863. 7 indexed citations
11.
Meng, Bo, et al.. (2023). Event-triggered integral sliding mode control for uncertain networked linear control systems with quantization. Mathematical Biosciences & Engineering. 20(9). 16705–16724.
12.
Liu, Cuimin, Zhen Wang, & Bo Meng. (2021). Dynamical analysis of fractional-order Holling type-II food chain model. Mathematical Biosciences & Engineering. 18(5). 5221–5235. 1 indexed citations
13.
Lu, Junwei, et al.. (2020). Stability analysis for a new fractional order <i>N</i> species network. Mathematical Biosciences & Engineering. 17(4). 2805–2819. 1 indexed citations
14.
Meng, Bo, et al.. (2020). Necessary and sufficient conditions for normalization and sliding mode control of singular fractional-order systems with uncertainties. Science China Information Sciences. 63(5). 26 indexed citations
15.
Xie, Yingkang, Zhen Wang, Bo Meng, & Xia Huang. (2020). Dynamical analysis for a fractional-order prey–predator model with Holling III type functional response and discontinuous harvest. Applied Mathematics Letters. 106. 106342–106342. 26 indexed citations
16.
Wang, Xiaohong, et al.. (2019). Stability and Hopf Bifurcation of Fractional-Order Complex-Valued Neural Networks With Time-Delay. IEEE Access. 7. 158798–158807. 4 indexed citations
17.
Dai, Mingcheng, Zhengguo Huang, Jianwei Xia, et al.. (2019). Non-fragile extended dissipativity-based state feedback control for 2-D Markov jump delayed systems. Applied Mathematics and Computation. 362. 124571–124571. 39 indexed citations
18.
Meng, Bo, et al.. (2015). The Spectral Collocation Method for the Stochastic Allen-Cahn Equation via Generalized Polynomial Chaos. Numerical Heat Transfer Part B Fundamentals. 68(1). 11–29. 13 indexed citations
19.
Meng, Bo, et al.. (2012). Adaptive Variable Structure Control for Linear Systems with Time-varying Multi-delays and Mismatching Uncertainties. Physics Procedia. 33. 1753–1761. 2 indexed citations
20.
Jia, Hongliang, Yaqing Chang, Yeqing Sun, et al.. (2009). Distribution and Potential Human Risk of Organochlorine Pesticides in Market Mollusks from Dalian, China. Bulletin of Environmental Contamination and Toxicology. 84(3). 278–284. 19 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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