Ya Jia

9.3k total citations · 2 hit papers
210 papers, 7.5k citations indexed

About

Ya Jia is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Ya Jia has authored 210 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Statistical and Nonlinear Physics, 95 papers in Cognitive Neuroscience and 82 papers in Computer Networks and Communications. Recurrent topics in Ya Jia's work include stochastic dynamics and bifurcation (128 papers), Neural dynamics and brain function (95 papers) and Nonlinear Dynamics and Pattern Formation (80 papers). Ya Jia is often cited by papers focused on stochastic dynamics and bifurcation (128 papers), Neural dynamics and brain function (95 papers) and Nonlinear Dynamics and Pattern Formation (80 papers). Ya Jia collaborates with scholars based in China, United States and Saudi Arabia. Ya Jia's co-authors include Ying Xu, Lijian Yang, Jun Ma, Jiarong Li, Mengyan Ge, Lulu Lu, Xuan Zhan, Qianming Ding, Chun Bao and Ge Shan and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

Ya Jia

203 papers receiving 7.3k citations

Hit Papers

Exon-intron circular RNAs... 2015 2026 2018 2022 2015 2024 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ya Jia 3.8k 3.2k 2.7k 2.2k 2.1k 210 7.5k
Chunni Wang 3.3k 0.9× 393 0.1× 2.7k 1.0× 2.0k 0.9× 179 0.1× 132 4.8k
Alexey Zaikin 1.5k 0.4× 964 0.3× 614 0.2× 1.2k 0.5× 233 0.1× 146 3.2k
Lijian Yang 1.3k 0.3× 754 0.2× 1.1k 0.4× 688 0.3× 397 0.2× 177 3.3k
Jianwei Shuai 754 0.2× 2.3k 0.7× 523 0.2× 367 0.2× 427 0.2× 196 4.3k
Guang Hu 1.8k 0.5× 1.4k 0.4× 648 0.2× 2.1k 0.9× 89 0.0× 268 4.4k
Qingyun Wang 1.7k 0.4× 397 0.1× 1.8k 0.6× 1.6k 0.7× 54 0.0× 158 3.7k
Zonghua Liu 2.6k 0.7× 476 0.1× 1.2k 0.4× 2.2k 1.0× 22 0.0× 216 5.1k
Dibakar Ghosh 3.7k 1.0× 406 0.1× 2.0k 0.7× 4.1k 1.8× 18 0.0× 257 6.3k
Ilya Nemenman 587 0.2× 2.9k 0.9× 673 0.2× 60 0.0× 185 0.1× 81 4.6k
Marko Marhl 1.3k 0.3× 1.3k 0.4× 616 0.2× 791 0.4× 17 0.0× 104 3.3k

Countries citing papers authored by Ya Jia

Since Specialization
Citations

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

Fields of papers citing papers by Ya Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Ya Jia. A scholar is included among the top collaborators of Ya Jia 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 Ya Jia. Ya Jia 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.
Huang, Weifang, Yong Wu, Qianming Ding, et al.. (2025). Synchronization behavior of memristive FitzHugh-Nagumo neurons in time-varying networks under external stimuli. Chaos Solitons & Fractals. 192. 116001–116001. 8 indexed citations
2.
Ding, Qianming, Yonghong Wu, Ying Xie, et al.. (2025). Turbulence control in memristive neural network via adaptive magnetic flux based on DLS-ADMM technique. Neural Networks. 187. 107379–107379. 2 indexed citations
3.
Yu, Dong, et al.. (2025). Community modularity structure promotes the evolution of phase clusters and chimeralike states. Physical review. E. 111(3). 34311–34311. 5 indexed citations
4.
Li, Tianyu, Dong Yu, Yong Wu, Qianming Ding, & Ya Jia. (2024). Stochastic resonance in the small-world networks with higher order neural motifs interactions. The European Physical Journal Special Topics. 233(4). 797–806. 21 indexed citations
5.
Ding, Qianming, et al.. (2024). Dynamic learning of synchronization in coupled nonlinear systems. Nonlinear Dynamics. 112(24). 21945–21967. 19 indexed citations
6.
Feng, William W., Janice J.N. Li, Hong‐Hong Yan, et al.. (2024). PL04.10 Osimertinib With or Without Savolitinib as 1L in De Novo MET Aberrant, EGFRm Advanced NSCLC (CTONG 2008): A Phase II Trial. Journal of Thoracic Oncology. 19(10). S6–S6. 2 indexed citations
7.
Wu, Yonghong, Weifang Huang, Qianming Ding, et al.. (2024). Enhancing orderly signal propagation between layers of neuronal networks through spike timing-dependent plasticity. Physics Letters A. 519. 129721–129721. 4 indexed citations
8.
Hu, Xueyan, Qianming Ding, Yong Wu, & Ya Jia. (2024). Synchronization in multiplex neural networks with homeostatic structural plasticity. Chinese Journal of Physics. 92. 946–958. 7 indexed citations
9.
Wu, Yonghong, et al.. (2024). Dynamic modulation of external excitation enhance synchronization in complex neuronal network. Chaos Solitons & Fractals. 183. 114896–114896. 17 indexed citations
10.
Yu, Dong, Tianyu Li, Qianming Ding, et al.. (2024). Maintenance of delay-period activity in working memory task is modulated by local network structure. PLoS Computational Biology. 20(9). e1012415–e1012415. 4 indexed citations
11.
Xie, Ying, et al.. (2024). Energy consumption in the synchronization of neurons coupled by electrical or memristive synapse. Chinese Journal of Physics. 90. 64–82. 25 indexed citations
12.
Hu, Yipeng, Qianming Ding, Dong Yu, et al.. (2024). Role of higher order interactions on spiral waves in excitable media. Physical review. E. 110(6). 64309–64309. 3 indexed citations
13.
Li, Xuening, Dong Yu, Lijian Yang, Ziying Fu, & Ya Jia. (2023). Energy dependence of synchronization mode transitions in the delay-coupled FitzHugh-Nagumo system driven by chaotic activity. Cognitive Neurodynamics. 18(2). 685–700. 25 indexed citations
14.
Li, Tianyu, Yong Wu, Lijian Yang, Ziying Fu, & Ya Jia. (2023). Neuronal morphology and network properties modulate signal propagation in multi-layer feedforward network. Chaos Solitons & Fractals. 172. 113554–113554. 26 indexed citations
15.
Zhang, Guimin, et al.. (2023). Background noise responding neurons in the inferior colliculus of the CF-FM bat, Hipposideros pratti. Hearing Research. 432. 108742–108742. 1 indexed citations
16.
Yu, Dong, et al.. (2023). Logistic stochastic resonance in the Hodgkin–Huxley neuronal system under electromagnetic induction. Physica A Statistical Mechanics and its Applications. 630. 129247–129247. 10 indexed citations
17.
Yu, Dong, Xuan Zhan, Lijian Yang, & Ya Jia. (2023). Theoretical description of logical stochastic resonance and its enhancement: Fast Fourier transform filtering method. Physical review. E. 108(1). 14205–14205. 28 indexed citations
18.
Yu, Dong, Yonghong Wu, Lijian Yang, Yunjie Zhao, & Ya Jia. (2022). Effect of topology on delay-induced multiple resonances in locally driven systems. Physica A Statistical Mechanics and its Applications. 609. 128330–128330. 23 indexed citations
19.
Wang, Guowei, Dong Yu, Qianming Ding, Tianyu Li, & Ya Jia. (2021). Effects of electric field on multiple vibrational resonances in Hindmarsh-Rose neuronal systems. Chaos Solitons & Fractals. 150. 111210–111210. 50 indexed citations
20.
Ma, Jun, et al.. (2020). Estimate the electrical activity in a neuron under depolarization field. Chaos Solitons & Fractals. 142. 110522–110522. 47 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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