Song Luan

508 total citations
15 papers, 276 citations indexed

About

Song Luan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Song Luan has authored 15 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 10 papers in Cognitive Neuroscience and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Song Luan's work include Neuroscience and Neural Engineering (12 papers), EEG and Brain-Computer Interfaces (8 papers) and Advanced Memory and Neural Computing (8 papers). Song Luan is often cited by papers focused on Neuroscience and Neural Engineering (12 papers), EEG and Brain-Computer Interfaces (8 papers) and Advanced Memory and Neural Computing (8 papers). Song Luan collaborates with scholars based in United Kingdom, United States and Sweden. Song Luan's co-authors include Timothy G. Constandinou, Ian Williams, Konstantin Nikolić, Yan Liu, Andrew Jackson, Rodrigo Quian Quiroga, Kianoush Nazarpour, Yan Liu, Amir Eftekhar and William S. Anderson and has published in prestigious journals such as Journal of Neuroscience Methods, Journal of Neural Engineering and IEEE Transactions on Biomedical Circuits and Systems.

In The Last Decade

Song Luan

15 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song Luan United Kingdom 7 195 118 111 91 39 15 276
Noah M. Ledbetter United States 10 324 1.7× 245 2.1× 87 0.8× 208 2.3× 25 0.6× 13 426
Autumn J. Bullard United States 10 296 1.5× 246 2.1× 102 0.9× 142 1.6× 12 0.3× 10 355
Devapratim Sarma United States 9 193 1.0× 273 2.3× 55 0.5× 107 1.2× 17 0.4× 14 343
Chrono S. Nu United States 5 236 1.2× 185 1.6× 73 0.7× 160 1.8× 10 0.3× 6 313
Ki Yong Kwon United States 11 395 2.0× 174 1.5× 191 1.7× 196 2.2× 9 0.2× 18 500
James M. Rebesco United States 7 230 1.2× 317 2.7× 60 0.5× 47 0.5× 23 0.6× 8 350
Denise Oswalt United States 7 208 1.1× 206 1.7× 74 0.7× 23 0.3× 37 0.9× 12 308
Soroush Niketeghad United States 7 249 1.3× 205 1.7× 123 1.1× 23 0.3× 13 0.3× 14 308
Virginia Woods United States 9 142 0.7× 85 0.7× 64 0.6× 55 0.6× 6 0.2× 10 183
Noëlle Lewis France 8 109 0.6× 91 0.8× 87 0.8× 78 0.9× 9 0.2× 32 237

Countries citing papers authored by Song Luan

Since Specialization
Citations

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

Fields of papers citing papers by Song Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Luan

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

All Works

15 of 15 papers shown
1.
Williams, Ian, et al.. (2020). SenseBack - An Implantable System for Bidirectional Neural Interfacing. IEEE Transactions on Biomedical Circuits and Systems. 14(5). 1079–1087. 13 indexed citations
2.
Williams, Ian, et al.. (2019). SenseBack – Implant considerations for an implantable neural stimulation and recording device. Newcastle University ePrints (Newcastle Univesity). 1–4. 6 indexed citations
3.
Luan, Song, Ian Williams, Yan Liu, et al.. (2018). Compact standalone platform for neural recording with real-time spike sorting and data logging. Journal of Neural Engineering. 15(4). 46014–46014. 43 indexed citations
4.
Luan, Song, Zoltán Mari, William S. Anderson, et al.. (2018). Embedded Phase-Amplitude Coupling Based Closed-loop Platform for Parkinson's Disease. Spiral (Imperial College London). 1–4. 1 indexed citations
5.
Liu, Yan, et al.. (2017). A 64-Channel Versatile Neural Recording SoC With Activity-Dependent Data Throughput. IEEE Transactions on Biomedical Circuits and Systems. 11(6). 1344–1355. 48 indexed citations
6.
Williams, Ian, et al.. (2016). A 32-ch. bidirectional neural/EMG interface with on-chip spike detection for sensorimotor feedback. Spiral (Imperial College London). 528–531. 3 indexed citations
7.
Luan, Song, Yan Liu, Ian Williams, & Timothy G. Constandinou. (2016). An event-driven SoC for neural recording. Spiral (Imperial College London). 404–407. 3 indexed citations
8.
Williams, Ian, Song Luan, Andrew Jackson, & Timothy G. Constandinou. (2015). Live demonstration: A scalable 32-channel neural recording and real-time FPGA based spike sorting system. Spiral (Imperial College London). 1–5. 14 indexed citations
9.
Luan, Song, Ian Williams, Konstantin Nikolić, & Timothy G. Constandinou. (2014). Neuromodulation: present and emerging methods. PubMed. 7. 27–27. 116 indexed citations
10.
Luan, Song & Timothy G. Constandinou. (2013). A charge-metering method for voltage-mode neural stimulation. Journal of Neuroscience Methods. 224. 39–47. 15 indexed citations
11.
Zhang, Jia, Zhipeng Li, Song Luan, et al.. (2013). An Infrastructure Supporting Considerate Sensor Service Provisioning. 69–76. 3 indexed citations
12.
13.
Luan, Song & Timothy G. Constandinou. (2012). A novel charge-metering method for voltage mode neural stimulation. 2239–2242. 4 indexed citations
14.
Eftekhar, Amir, et al.. (2012). A fully-programmable neural interface for multi-polar, multi-channel stimulation strategies. 2235–2238. 2 indexed citations
15.
Luan, Song, et al.. (2011). Towards an inductively coupled power/data link for bondpad-less silicon chips. 42. 2597–2600. 3 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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