Quan Xu

8.4k total citations · 5 hit papers
206 papers, 7.1k citations indexed

About

Quan Xu is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Quan Xu has authored 206 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Statistical and Nonlinear Physics, 123 papers in Electrical and Electronic Engineering and 95 papers in Cognitive Neuroscience. Recurrent topics in Quan Xu's work include stochastic dynamics and bifurcation (123 papers), Advanced Memory and Neural Computing (110 papers) and Neural dynamics and brain function (95 papers). Quan Xu is often cited by papers focused on stochastic dynamics and bifurcation (123 papers), Advanced Memory and Neural Computing (110 papers) and Neural dynamics and brain function (95 papers). Quan Xu collaborates with scholars based in China, Australia and United Kingdom. Quan Xu's co-authors include Bocheng Bao, Mo Chen, Han Bao, Huagan Wu, Ning Wang, Bei Chen, Jiang Wang, Yihua Hu, Yi Lin and Yajuan Yu and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and IEEE Transactions on Industrial Electronics.

In The Last Decade

Quan Xu

201 papers receiving 6.9k citations

Hit Papers

Hidden extreme multistability in memristive hyperchaotic ... 2015 2026 2018 2022 2016 2015 2022 2023 2025 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quan Xu China 48 5.6k 3.3k 3.0k 2.4k 1.1k 206 7.1k
Han Bao China 52 6.2k 1.1× 4.0k 1.2× 2.9k 1.0× 2.9k 1.2× 1.3k 1.2× 194 8.3k
Bocheng Bao China 63 9.2k 1.6× 6.2k 1.9× 4.7k 1.6× 3.8k 1.6× 1.6k 1.5× 266 11.8k
Chunbiao Li China 47 5.4k 1.0× 1.7k 0.5× 2.9k 1.0× 1.0k 0.4× 869 0.8× 222 6.6k
Jacques Kengne Cameroon 45 4.8k 0.8× 1.3k 0.4× 2.9k 1.0× 1.1k 0.5× 760 0.7× 205 5.9k
Christos Volos Greece 46 5.0k 0.9× 1.1k 0.3× 2.9k 1.0× 606 0.2× 753 0.7× 278 6.4k
Huagan Wu China 35 2.9k 0.5× 1.8k 0.5× 1.5k 0.5× 1.4k 0.6× 426 0.4× 102 3.5k
Hairong Lin China 38 2.5k 0.4× 2.0k 0.6× 1.3k 0.4× 1.1k 0.5× 1.0k 0.9× 72 4.0k
Zeric Tabekoueng Njitacke Cameroon 36 2.7k 0.5× 1.1k 0.3× 1.5k 0.5× 1.1k 0.4× 464 0.4× 109 3.3k
Fei Yu China 45 2.7k 0.5× 1.8k 0.6× 1.3k 0.4× 646 0.3× 1.1k 1.1× 217 5.3k

Countries citing papers authored by Quan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Quan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Xu. A scholar is included among the top collaborators of Quan Xu 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 Quan Xu. Quan Xu 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.
Chen, Bei, et al.. (2025). Implementation of chaining in operant conditioning by a neural network circuit. AEU - International Journal of Electronics and Communications. 194. 155760–155760.
2.
Yu, Fei, et al.. (2025). Bursting Firings in Memristive Hopfield Neural Network With Image Encryption and Hardware Implementation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(12). 4564–4576. 50 indexed citations breakdown →
3.
Xu, Quan, et al.. (2024). Periodic and chaotic spiking behaviors in a simplified memristive Hodgkin-Huxley circuit. Chaos Solitons & Fractals. 179. 114458–114458. 37 indexed citations
4.
Xu, Quan, et al.. (2024). Dynamical effects of low-frequency and high-frequency current stimuli in a memristive Morris–Lecar neuron model. Chaos Solitons & Fractals. 189. 115646–115646. 13 indexed citations
5.
Bao, Han, et al.. (2024). Deep brain stimulation and lag synchronization in a memristive two-neuron network. Neural Networks. 180. 106728–106728. 12 indexed citations
6.
Wu, Huagan, et al.. (2024). Biphasic action potentials in an individual cellular neural network cell. Chaos Solitons & Fractals. 182. 114792–114792. 6 indexed citations
7.
Bao, Bocheng, et al.. (2024). Bifurcations to bursting oscillations in memristor-based FitzHugh-Nagumo circuit. Chaos Solitons & Fractals. 181. 114608–114608. 31 indexed citations
8.
Wang, Ning, et al.. (2024). Generation of no-equilibrium multi-fold chaotic attractor for image processing and security. Applied Mathematical Modelling. 133. 271–285. 30 indexed citations
9.
Huang, Liping, et al.. (2024). Initial-boosted dynamics in a memristive Chialvo map and its application for image encryption with hardware implementation. AEU - International Journal of Electronics and Communications. 189. 155597–155597. 6 indexed citations
10.
Xu, Quan, et al.. (2024). Spiking activity in a memcapacitive and memristive emulator-based bionic circuit. Chaos Solitons & Fractals. 187. 115339–115339. 13 indexed citations
11.
Wang, Ning, et al.. (2023). Memristor initial-offset boosting and its bifurcation mechanism in a memristive FitzHugh-Nagumo neuron model with hidden dynamics. Chaos Solitons & Fractals. 174. 113836–113836. 45 indexed citations
12.
Wang, Ning, et al.. (2023). A general configuration for nonlinear circuit employing current-controlled nonlinearity: Application in Chua’s circuit. Chaos Solitons & Fractals. 177. 114233–114233. 13 indexed citations
13.
Bao, Han, et al.. (2023). Two-dimensional non-autonomous neuron model with parameter-controlled multi-scroll chaotic attractors. Chaos Solitons & Fractals. 169. 113228–113228. 43 indexed citations
14.
Wang, Ning, et al.. (2023). Experimental observation of hidden Chua’s attractor. Chaos Solitons & Fractals. 170. 113427–113427. 41 indexed citations
15.
Xu, Quan, et al.. (2023). Firing pattern in a memristive Hodgkin–Huxley circuit: Numerical simulation and analog circuit validation. Chaos Solitons & Fractals. 172. 113627–113627. 74 indexed citations
16.
Bao, Bocheng, et al.. (2023). Complex dynamics and initial state effects in a two-dimensional sine-bounded memristive map. Chaos Solitons & Fractals. 173. 113748–113748. 13 indexed citations
17.
Wang, Ning, et al.. (2023). Generating multi-folded hidden Chua’s attractors: Two-case study. Chaos Solitons & Fractals. 177. 114242–114242. 23 indexed citations
18.
Wang, Jiang, et al.. (2022). Memristor-Based Lozi Map with Hidden Hyperchaos. Mathematics. 10(19). 3426–3426. 22 indexed citations
19.
Wu, Huagan, et al.. (2020). Asymmetric memristive Chua’s chaotic circuits. International Journal of Electronics. 108(7). 1106–1123. 20 indexed citations
20.
Xu, Quan, et al.. (2020). Synchronous Behavior for Memristive Synapse-Connected Chay Twin-Neuron Network and Hardware Implementation. Mathematical Problems in Engineering. 2020. 1–12. 5 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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