Chengdai Huang

2.7k total citations
111 papers, 2.2k citations indexed

About

Chengdai Huang is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Chengdai Huang has authored 111 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Networks and Communications, 62 papers in Statistical and Nonlinear Physics and 42 papers in Artificial Intelligence. Recurrent topics in Chengdai Huang's work include Neural Networks Stability and Synchronization (66 papers), stochastic dynamics and bifurcation (44 papers) and Neural Networks and Applications (40 papers). Chengdai Huang is often cited by papers focused on Neural Networks Stability and Synchronization (66 papers), stochastic dynamics and bifurcation (44 papers) and Neural Networks and Applications (40 papers). Chengdai Huang collaborates with scholars based in China, South Korea and Saudi Arabia. Chengdai Huang's co-authors include Jinde Cao, Min Xiao, Te‐Jen Su, Ahmed Alsaedi, Heng Liu, Tasawar Hayat, Xiaoping Chen, Fuad E. Alsaadi, Zhengxin Wang and Juan Wang and has published in prestigious journals such as IEEE Transactions on Automatic Control, Expert Systems with Applications and IEEE Access.

In The Last Decade

Chengdai Huang

103 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengdai Huang China 22 1.4k 975 648 627 583 111 2.2k
Peiluan Li China 25 949 0.7× 654 0.7× 472 0.7× 605 1.0× 496 0.9× 139 2.1k
Zixin Liu China 26 764 0.6× 533 0.5× 362 0.6× 561 0.9× 440 0.8× 79 1.7k
Ranchao Wu China 32 1.9k 1.4× 1.6k 1.6× 674 1.0× 1.0k 1.6× 553 0.9× 172 3.6k
Chaouki Aouiti Tunisia 31 2.1k 1.5× 957 1.0× 963 1.5× 268 0.4× 247 0.4× 114 2.6k
Adel Ouannas Algeria 29 1.2k 0.9× 1.9k 1.9× 303 0.5× 1.0k 1.6× 402 0.7× 220 2.9k
R. Raja India 32 2.3k 1.7× 1.1k 1.1× 941 1.5× 405 0.6× 200 0.3× 140 3.2k
Lihong Huang China 27 1.2k 0.9× 605 0.6× 477 0.7× 201 0.3× 353 0.6× 131 2.2k
Maoxin Liao China 23 708 0.5× 441 0.5× 327 0.5× 436 0.7× 589 1.0× 70 1.5k
Wenxue Li China 34 2.9k 2.2× 1.4k 1.4× 281 0.4× 247 0.4× 478 0.8× 191 3.6k
Ivanka Stamova United States 30 1.6k 1.2× 1.0k 1.1× 623 1.0× 1.0k 1.6× 552 0.9× 176 3.1k

Countries citing papers authored by Chengdai Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chengdai Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengdai Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chengdai Huang. A scholar is included among the top collaborators of Chengdai Huang 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 Chengdai Huang. Chengdai Huang 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.
Xiao, Min, Leszek Rutkowski, Zhengxin Wang, et al.. (2025). How to Predict Bifurcations Induced by Fractional Order in Delayed Large-Scale Neural Networks. IEEE Transactions on Cybernetics. 55(9). 4400–4413.
2.
Huang, Chengdai, et al.. (2025). Global Mittag-Leffler synchronization of discontinuous memristor-based fractional-order fuzzy inertial neural networks with mixed delays. Neurocomputing. 626. 129475–129475. 2 indexed citations
3.
Huang, Chengdai, et al.. (2024). Extractions of bifurcation in fractional-order recurrent neural networks under neurons arbitrariness. Physica D Nonlinear Phenomena. 468. 134279–134279.
4.
Huang, Chengdai, et al.. (2024). Adaptive Neural Optimal Backstepping Control of Uncertain Fractional-Order Chaotic Circuit Systems via Reinforcement Learning. IEEE Transactions on Circuits and Systems I Regular Papers. 71(10). 4707–4720. 1 indexed citations
5.
Huang, Chengdai, et al.. (2024). Order-Induced Bifurcation Analysis for a Three-Species Prey–Predator Model with Fear Effect under Fractional PD Control. International Journal of Bifurcation and Chaos. 34(12).
6.
Luo, An, et al.. (2024). The Dynamical Behaviors of a Fractional-Order Malware Propagation Model in Information Networks. Mathematics. 12(23). 3814–3814. 2 indexed citations
7.
Huang, Chengdai, et al.. (2024). Dynamical bifurcations in a delayed fractional‐order neural network involving neutral terms. Mathematical Methods in the Applied Sciences. 48(2). 2253–2266.
8.
Huang, Chengdai, et al.. (2024). Adaptive fuzzy quantized prescribed performance synchronization of uncertain non-strict feedback chaotic systems with time-varying actuator failure. Information Sciences. 681. 121241–121241. 5 indexed citations
9.
Cao, Jinde, et al.. (2024). Delay-dependent parameters bifurcation in a fractional neural network via geometric methods. Applied Mathematics and Computation. 478. 128812–128812. 3 indexed citations
10.
Huang, Chengdai, et al.. (2024). Delay-dependent bifurcation conditions in a fractional-order inertial BAM neural network. Chaos Solitons & Fractals. 185. 115106–115106. 6 indexed citations
11.
Huang, Chengdai, et al.. (2023). Bifurcation analysis of a fractional-order Cohen–Grossberg neural network with three delays. Chinese Journal of Physics. 88. 360–379. 6 indexed citations
12.
Huang, Chengdai, et al.. (2023). Dynamical Bifurcations of a Fractional-Order BAM Neural Network: Nonidentical Neutral Delays. IEEE Transactions on Network Science and Engineering. 11(2). 1668–1679. 7 indexed citations
13.
Huang, Chengdai, Heng Liu, Tingwen Huang, & Jinde Cao. (2023). Bifurcations Due to Different Neutral Delays in a Fractional-Order Neutral-Type Neural Network. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(1). 563–575. 5 indexed citations
14.
Xiao, Min, et al.. (2023). Early warning of tipping in a chemical model with cross-diffusion via spatiotemporal pattern formation and transition. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(7). 11 indexed citations
15.
Liu, Heng, et al.. (2023). Compound learning adaptive neural network optimal backstepping control of uncertain fractional-order predator–prey systems. International Journal of Biomathematics. 17(8). 7 indexed citations
16.
Cao, Jinde, et al.. (2022). HOPF BIFURCATION OF A FRACTIONAL TRI-NEURON NETWORK WITH DIFFERENT ORDERS AND LEAKAGE DELAY. Fractals. 30(3). 4 indexed citations
17.
Xiao, Min, et al.. (2021). Dynamical Bifurcation for a Class of Large-Scale Fractional Delayed Neural Networks With Complex Ring-Hub Structure and Hybrid Coupling. IEEE Transactions on Neural Networks and Learning Systems. 34(5). 2659–2669. 21 indexed citations
18.
Xiao, Min, et al.. (2021). Fractional Dynamics Based-Enhancing Control Scheme of a Delayed Predator-Prey Model. IEEE Access. 9. 59715–59724. 2 indexed citations
19.
Wang, Zhengxin, et al.. (2019). Quasi-synchronization of heterogeneous dynamical networks with sampled-data and input saturation. Neurocomputing. 339. 130–138. 11 indexed citations
20.
Huang, Chengdai, Xuan Zhao, Xuehai Wang, et al.. (2019). Disparate delays-induced bifurcations in a fractional-order neural network. Journal of the Franklin Institute. 356(5). 2825–2846. 46 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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