Haibo Bao

3.0k total citations · 2 hit papers
79 papers, 2.4k citations indexed

About

Haibo Bao is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Haibo Bao has authored 79 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Networks and Communications, 32 papers in Statistical and Nonlinear Physics and 25 papers in Electrical and Electronic Engineering. Recurrent topics in Haibo Bao's work include Neural Networks Stability and Synchronization (53 papers), stochastic dynamics and bifurcation (22 papers) and Nonlinear Dynamics and Pattern Formation (22 papers). Haibo Bao is often cited by papers focused on Neural Networks Stability and Synchronization (53 papers), stochastic dynamics and bifurcation (22 papers) and Nonlinear Dynamics and Pattern Formation (22 papers). Haibo Bao collaborates with scholars based in China, South Korea and Saudi Arabia. Haibo Bao's co-authors include Jinde Cao, Ju H. Park, Jürgen Kurths, Jian Wu, Hui Deng, Sha Zhu, Yonggui Kao, Yao Huang, Ahmed Alsaedi and Bashir Ahmad and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Haibo Bao

72 papers receiving 2.4k citations

Hit Papers

Projective synchronization of fractional-order memristor-... 2014 2026 2018 2022 2014 2015 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haibo Bao China 27 2.0k 1.2k 764 605 380 79 2.4k
Chaouki Aouiti Tunisia 31 2.1k 1.0× 957 0.8× 529 0.7× 963 1.6× 408 1.1× 114 2.6k
Juan Yu China 33 2.9k 1.5× 1.5k 1.3× 696 0.9× 730 1.2× 468 1.2× 80 3.3k
G. Velmurugan India 23 1.6k 0.8× 984 0.8× 585 0.8× 598 1.0× 291 0.8× 35 2.0k
Yi Shen China 30 2.8k 1.4× 2.0k 1.7× 1.3k 1.8× 510 0.8× 591 1.6× 100 3.6k
Xiaoxin Liao China 28 1.9k 1.0× 1.3k 1.1× 436 0.6× 729 1.2× 515 1.4× 96 2.5k
Baotong Cui China 27 1.5k 0.8× 723 0.6× 307 0.4× 645 1.1× 847 2.2× 178 2.2k
Pratap Anbalagan India 22 1.0k 0.5× 577 0.5× 656 0.9× 429 0.7× 484 1.3× 50 1.7k
Zhengwen Tu China 23 1.4k 0.7× 649 0.5× 597 0.8× 491 0.8× 283 0.7× 74 1.6k
Huaiqin Wu China 26 1.5k 0.8× 734 0.6× 377 0.5× 368 0.6× 349 0.9× 95 1.7k
Juebang Yu China 20 998 0.5× 855 0.7× 396 0.5× 389 0.6× 167 0.4× 106 1.6k

Countries citing papers authored by Haibo Bao

Since Specialization
Citations

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

Fields of papers citing papers by Haibo Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Bao

This figure shows the co-authorship network connecting the top 25 collaborators of Haibo Bao. A scholar is included among the top collaborators of Haibo Bao 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 Haibo Bao. Haibo Bao 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.
Bao, Haibo, et al.. (2025). Epidemic propagation with competitive information in multiplex networks with simplicial complexes. Chaos Solitons & Fractals. 201. 117254–117254.
2.
Bao, Haibo & Xuelian Li. (2025). Output synchronization for fractional-order reaction–diffusion coupled neural networks with output coupling via event-triggered impulsive control. Physica A Statistical Mechanics and its Applications. 674. 130695–130695.
3.
Bao, Haibo & Ye He. (2025). Epidemic dynamics with awareness cascade of positive and negative information on delayed multiplex networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(2). 1 indexed citations
4.
Bao, Haibo, et al.. (2025). Memory-based event-triggered synchronization of dynamic memristor delayed cellular neural networks for image encryption. Journal of the Franklin Institute. 362(4). 107552–107552. 4 indexed citations
5.
Bao, Haibo, et al.. (2024). Output synchronization of reaction-diffusion neural networks with multiple output couplings via generalized intermittent control. Applied Mathematics and Computation. 477. 128822–128822.
6.
Xiao, Min, et al.. (2024). Complex pattern evolution of a two-dimensional space diffusion model of malware spread. Physica Scripta. 99(4). 45237–45237. 1 indexed citations
7.
Liu, Xiaonan, Yonggui Kao, Haibo Bao, & Ju H. Park. (2024). Outer Synchronization for Coupled Hyperbolic Neural Networks via Impulsive Pinning Control Method. IEEE Transactions on Systems Man and Cybernetics Systems. 54(6). 3608–3617. 7 indexed citations
8.
Bao, Haibo, et al.. (2024). Adaptive finite-time synchronization of quaternion-valued inertial neural networks with mixed delays under quantized event-triggered impulsive strategy. Journal of the Franklin Institute. 361(12). 107020–107020. 5 indexed citations
10.
Bao, Haibo, et al.. (2023). Fixed-time synchronization of multiplex networks by sliding mode control. Journal of the Franklin Institute. 360(8). 5504–5523. 14 indexed citations
11.
Li, Hongli, et al.. (2023). Complete synchronization for discrete-time fractional-order coupled neural networks with time delays. Chaos Solitons & Fractals. 174. 113772–113772. 7 indexed citations
13.
Bao, Haibo, et al.. (2020). Synchronization criteria for quaternion-valued coupled neural networks with impulses. Neural Networks. 128. 150–157. 41 indexed citations
14.
Bao, Haibo, Ju H. Park, & Jinde Cao. (2019). Non-fragile state estimation for fractional-order delayed memristive BAM neural networks. Neural Networks. 119. 190–199. 75 indexed citations
15.
Bao, Haibo, Jinde Cao, Jürgen Kurths, Ahmed Alsaedi, & Bashir Ahmad. (2018). H state estimation of stochastic memristor-based neural networks with time-varying delays. Neural Networks. 99. 79–91. 65 indexed citations
16.
Bao, Haibo & Jinde Cao. (2017). State estimation of fractional-order neural networks with time delay. 82. 1573–1577. 2 indexed citations
17.
Bao, Haibo, Ju H. Park, & Jinde Cao. (2016). Synchronization of fractional-order complex-valued neural networks with time delay. Neural Networks. 81. 16–28. 222 indexed citations
18.
Bao, Haibo & Jinde Cao. (2016). Finite-time generalized synchronization of nonidentical delayed chaotic systems. Nonlinear Analysis Modelling and Control. 21(3). 306–324. 49 indexed citations
19.
Bao, Haibo & Jinde Cao. (2014). Projective synchronization of fractional-order memristor-based neural networks. Neural Networks. 63. 1–9. 269 indexed citations breakdown →
20.
Wu, Jian, et al.. (2007). A DESIGNED MODEL ABOUT AMPLIFICATION AND COMPRESSION OF PICOSECOND PULSE USING CASCADED SOA AND NOLM DEVICE. Electromagnetic waves. 76. 127–139. 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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