Shanglin Zhou

482 total citations
14 papers, 276 citations indexed

About

Shanglin Zhou is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Shanglin Zhou has authored 14 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Artificial Intelligence. Recurrent topics in Shanglin Zhou's work include Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neural Networks and Applications (3 papers). Shanglin Zhou is often cited by papers focused on Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neural Networks and Applications (3 papers). Shanglin Zhou collaborates with scholars based in China, United States and Italy. Shanglin Zhou's co-authors include Yuguo Yu, Dean V. Buonomano, Sotiris C. Masmanidis, Xuechu Zhen, Bo Gao, Ao Zhang, Na Ye, Lili Xu, Hualiang Jiang and Long Tai Zheng and has published in prestigious journals such as Neuron, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Shanglin Zhou

13 papers receiving 273 citations

Peers

Shanglin Zhou
Ryan C. Williamson United States
Hyun Jae Jang South Korea
Jakub Vohryzek United Kingdom
Taylor A. Gentile United States
Rafi U. Haque United States
Ryan C. Williamson United States
Shanglin Zhou
Citations per year, relative to Shanglin Zhou Shanglin Zhou (= 1×) peers Ryan C. Williamson

Countries citing papers authored by Shanglin Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Shanglin Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanglin Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Shanglin Zhou. A scholar is included among the top collaborators of Shanglin Zhou 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 Shanglin Zhou. Shanglin Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Zhou, Shanglin, et al.. (2025). Automating multi-task learning on optical neural networks with weight sharing and physical rotation. Scientific Reports. 15(1). 14419–14419. 2 indexed citations
2.
Wang, Xin, Jiawen Li, Shanglin Zhou, et al.. (2024). Stable sequential dynamics in prefrontal cortex represents subjective estimation of time. eLife. 13.
3.
Zhou, Shanglin & Dean V. Buonomano. (2024). Unified control of temporal and spatial scales of sensorimotor behavior through neuromodulation of short-term synaptic plasticity. Science Advances. 10(18). eadk7257–eadk7257. 1 indexed citations
4.
Zhou, Shanglin, et al.. (2023). Multiplexing working memory and time in the trajectories of neural networks. Nature Human Behaviour. 7(7). 1170–1184. 9 indexed citations
5.
Zhou, Shanglin & Dean V. Buonomano. (2022). Neural population clocks: Encoding time in dynamic patterns of neural activity.. Behavioral Neuroscience. 136(5). 374–382. 8 indexed citations
6.
Zhou, Shanglin, Sotiris C. Masmanidis, & Dean V. Buonomano. (2020). Neural Sequences as an Optimal Dynamical Regime for the Readout of Time. Neuron. 108(4). 651–658.e5. 57 indexed citations
7.
Zhou, Shanglin & Yuguo Yu. (2018). Synaptic E-I Balance Underlies Efficient Neural Coding. Frontiers in Neuroscience. 12. 46–46. 109 indexed citations
8.
Zhou, Shanglin & Yuguo Yu. (2018). Synaptic Excitatory-Inhibitory Balance Underlying Efficient Neural Coding. Advances in neurobiology. 21. 85–100. 2 indexed citations
9.
Zhou, Shanglin, Michele Migliore, & Yuguo Yu. (2016). Odor Experience Facilitates Sparse Representations of New Odors in a Large-Scale Olfactory Bulb Model. Frontiers in Neuroanatomy. 10. 10–10. 6 indexed citations
10.
Zhang, Wen, et al.. (2015). Key factors dominating the neural coding preference to 1/f signal. BMC Neuroscience. 16(S1). 1 indexed citations
11.
Zhou, Shanglin, et al.. (2014). Effects of SKF83959 on the excitability of hippocampal CA1 pyramidal neurons: a modeling study. Acta Pharmacologica Sinica. 35(6). 738–751. 4 indexed citations
12.
Xu, Lili, Shanglin Zhou, Kunqian Yu, et al.. (2013). Molecular Modeling of the 3D Structure of 5-HT1AR: Discovery of Novel 5-HT1AR Agonists via Dynamic Pharmacophore-Based Virtual Screening. Journal of Chemical Information and Modeling. 53(12). 3202–3211. 28 indexed citations
13.
Chu, Hong‐Yuan, Shanglin Zhou, Xiaohua Cao, et al.. (2011). SKF83959 suppresses excitatory synaptic transmission in rat hippocampus via a dopamine receptor‐independent mechanism. Journal of Neuroscience Research. 89(8). 1259–1266. 17 indexed citations
14.
Zhang, Hai, Na Ye, Shanglin Zhou, et al.. (2011). Identification ofN-Propylnoraporphin-11-yl 5-(1,2-Dithiolan-3-yl)pentanoate as a New Anti-Parkinson's Agent Possessing a Dopamine D2and Serotonin 5-HT1ADual-Agonist Profile. Journal of Medicinal Chemistry. 54(13). 4324–4338. 32 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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