Sen Song

13.2k total citations · 6 hit papers
87 papers, 8.4k citations indexed

About

Sen Song is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Sen Song has authored 87 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 24 papers in Cellular and Molecular Neuroscience and 20 papers in Molecular Biology. Recurrent topics in Sen Song's work include Neural dynamics and brain function (24 papers), Advanced Memory and Neural Computing (15 papers) and Neuroscience and Neuropharmacology Research (13 papers). Sen Song is often cited by papers focused on Neural dynamics and brain function (24 papers), Advanced Memory and Neural Computing (15 papers) and Neuroscience and Neuropharmacology Research (13 papers). Sen Song collaborates with scholars based in China, United States and United Kingdom. Sen Song's co-authors include Kenneth D. Miller, L. F. Abbott, Sacha B. Nelson, P. Jesper Sjöström, Dmitri B. Chklovskii, L. F. Abbott, Xinke Shen, Shaoyuan Wu, Liang Liu and Scott V. Edwards and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Sen Song

86 papers receiving 8.2k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Competitive Hebbian learning through spike-timing-dependent synaptic plasticity

2000 1.9k citations Sen Song et al. profile →
Highly Nonrandom Features of Synaptic Connectivity in Local Cortical Circuits

2005 1.0k citations Sen Song et al. profile →
Going Deeper with Embedded FPGA Platform for Convolutional Neural Network

2016 882 citations Sen Song et al. profile →
Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges

2019 640 citations Jianshi Tang, Xinke Shen et al. profile →
Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network

2019 317 citations Sen Song et al. profile →
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition

2022 165 citations Xinke Shen, Xianggen Liu et al. IEEE Transactions on Affective Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sen Song China	32	3.9k	3.8k	3.4k	1.2k	1.0k	87	8.4k
Rodney J. Douglas Switzerland	48	7.8k 2.0×	3.7k 1.0×	5.8k 1.7×	1.5k 1.2×	1.3k 1.3×	135	12.1k
Liam Paninski United States	52	8.5k 2.2×	1.9k 0.5×	5.6k 1.6×	1.7k 1.4×	1.5k 1.5×	163	12.0k
Rodrigo Quian Quiroga United Kingdom	53	9.7k 2.5×	1.1k 0.3×	4.0k 1.2×	912 0.7×	504 0.5×	133	11.8k
Simon J. Thorpe France	50	10.1k 2.6×	3.2k 0.8×	2.7k 0.8×	1.5k 1.2×	574 0.6×	134	12.6k
Claudia Clopath United Kingdom	32	3.2k 0.8×	1.6k 0.4×	2.2k 0.6×	3.1k 2.5×	363 0.4×	106	7.3k
Yang Dan United States	59	10.9k 2.8×	2.7k 0.7×	8.3k 2.4×	647 0.5×	2.0k 2.0×	104	14.6k
Anthony M. Zador United States	47	6.9k 1.8×	979 0.3×	4.6k 1.3×	555 0.5×	1.7k 1.7×	90	9.6k
Jonathan D. Victor United States	55	7.9k 2.0×	683 0.2×	3.3k 1.0×	643 0.5×	1.5k 1.5×	244	10.8k
Sydney S. Cash United States	64	10.5k 2.7×	1.4k 0.4×	5.8k 1.7×	550 0.4×	771 0.8×	306	14.4k
Andreas S. Tolias United States	42	6.0k 1.5×	633 0.2×	3.2k 0.9×	641 0.5×	1.2k 1.2×	93	8.2k

Countries citing papers authored by Sen Song

Since Specialization

Citations

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

Fields of papers citing papers by Sen Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Song

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shen, Xinke, et al.. (2025). Dynamic-Attention-Based EEG State Transition Modeling for Emotion Recognition. IEEE Transactions on Affective Computing. 16(4). 3552–3568. 1 indexed citations

Shen, Yi, et al.. (2025). Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models. 3912–3921. 1 indexed citations

Shen, Xinke, et al.. (2024). Contrastive learning of shared spatiotemporal EEG representations across individuals for naturalistic neuroscience. NeuroImage. 301. 120890–120890. 4 indexed citations

Shen, Xinke, et al.. (2024). Unveiling Frequency-Specific Microstate Correlates of Anxiety and Depression Symptoms. Brain Topography. 38(1). 12–12. 4 indexed citations

Yang, Yaxiong, Min Liu, Nan Liu, et al.. (2022). Cytosolic peptides encoding CaV1 C-termini downregulate the calcium channel activity-neuritogenesis coupling. Communications Biology. 5(1). 484–484. 7 indexed citations

Shen, Xinke, Xianggen Liu, Xin Hu, Dan Zhang, & Sen Song. (2022). Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition. IEEE Transactions on Affective Computing. 14(3). 2496–2511. 165 indexed citations breakdown →

Liu, Xianggen, Yunan Luo, Pengyong Li, Sen Song, & Jian Peng. (2021). Deep geometric representations for modeling effects of mutations on protein-protein binding affinity. PLoS Computational Biology. 17(8). e1009284–e1009284. 81 indexed citations

Li, Xinyi, Jianshi Tang, Qingtian Zhang, et al.. (2020). Power-efficient neural network with artificial dendrites. Nature Nanotechnology. 15(9). 776–782. 209 indexed citations

Chen, Jing, Mingxiu Cheng, Liang Wang, et al.. (2020). A Vagal-NTS Neural Pathway that Stimulates Feeding. Current Biology. 30(20). 3986–3998.e5. 106 indexed citations

10.

Chen, Chenggang, Mingxiu Cheng, Tetsufumi Ito, & Sen Song. (2018). Neuronal Organization in the Inferior Colliculus Revisited with Cell-Type-Dependent Monosynaptic Tracing. Journal of Neuroscience. 38(13). 3318–3332. 52 indexed citations

11.

Zhao, Zhe, Liang Wang, Fei Hu, et al.. (2017). A Central Catecholaminergic Circuit Controls Blood Glucose Levels during Stress. Neuron. 95(1). 138–152.e5. 59 indexed citations

12.

Sümbül, Uygar, Sen Song, Kyle J. McCulloch, et al.. (2014). A genetic and computational approach to structurally classify neuronal types. Nature Communications. 5(1). 3512–3512. 118 indexed citations

13.

Grillo, Federico W., Sen Song, Lieven Huang, et al.. (2013). Increased axonal bouton dynamics in the aging mouse cortex. Proceedings of the National Academy of Sciences. 110(16). E1514–23. 98 indexed citations

14.

Canty, Alison J., et al.. (2013). Synaptic Elimination and Protection after Minimal Injury Depend on Cell Type and Their Prelesion Structural Dynamics in the Adult Cerebral Cortex. Journal of Neuroscience. 33(25). 10374–10383. 20 indexed citations

15.

Li, Donghai, et al.. (2013). Complete mitochondrial genome of the desert toad-headed agama,Phrynocephalus przewalskii(Reptilia, Squamata, Agamidae), a novel gene organization in vertebrate mtDNA. Mitochondrial DNA. 26(5). 696–697. 8 indexed citations

16.

Kepecs, Ádám, Mark C. W. van Rossum, Sen Song, & Jesper Tegnér. (2002). Spike-timing-dependent plasticity: common themes and divergent vistas. Biological Cybernetics. 87(5-6). 446–458. 82 indexed citations

17.

Song, Sen & L. F. Abbott. (2001). Cortical Development and Remapping through Spike Timing-Dependent Plasticity. Neuron. 32(2). 339–350. 356 indexed citations

18.

Song, Sen & L. F. Abbott. (2000). Temporally asymmetric Hebbian learning and neuronal response variability. Neurocomputing. 32-33. 523–528. 6 indexed citations

19.

Abbott, L. F. & Sen Song. (1998). Temporally Asymmetric Hebbian Learning, Spike liming and Neural Response Variability. Neural Information Processing Systems. 11. 69–75. 53 indexed citations

20.

Werger, Barry, et al.. (1997). Multiple agents from the bottom up: the interaction lab's robot competition effort. National Conference on Artificial Intelligence. 802–803. 1 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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