Spencer C. Chen

1.4k total citations
43 papers, 852 citations indexed

About

Spencer C. Chen is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Spencer C. Chen has authored 43 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 31 papers in Cognitive Neuroscience and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Spencer C. Chen's work include Neuroscience and Neural Engineering (27 papers), EEG and Brain-Computer Interfaces (18 papers) and Advanced Memory and Neural Computing (17 papers). Spencer C. Chen is often cited by papers focused on Neuroscience and Neural Engineering (27 papers), EEG and Brain-Computer Interfaces (18 papers) and Advanced Memory and Neural Computing (17 papers). Spencer C. Chen collaborates with scholars based in Australia, United States and United Kingdom. Spencer C. Chen's co-authors include Nigel H. Lovell, Gregg J. Suaning, John W. Morley, Luke E. Hallum, Samuel G. Solomon, Selina S. Solomon, Yan T. Wong, David Tsai, Jong-Mo Seo and P Matteucci and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Spencer C. Chen

43 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Spencer C. Chen Australia 16 699 515 450 62 59 43 852
Timothy J. Blanche United States 11 524 0.7× 471 0.9× 202 0.4× 68 1.1× 80 1.4× 14 686
John S. Pezaris United States 13 859 1.2× 1.1k 2.1× 329 0.7× 101 1.6× 55 0.9× 25 1.3k
Timothée Levi France 16 437 0.6× 394 0.8× 410 0.9× 109 1.8× 159 2.7× 49 772
Alessandro Vato Italy 13 840 1.2× 698 1.4× 271 0.6× 85 1.4× 147 2.5× 29 1.0k
Marco Ballini Belgium 16 995 1.4× 571 1.1× 667 1.5× 61 1.0× 426 7.2× 28 1.2k
Tobias C. Potjans Japan 8 404 0.6× 651 1.3× 261 0.6× 38 0.6× 15 0.3× 15 781
Johannes Bill United States 12 263 0.4× 445 0.9× 499 1.1× 22 0.4× 12 0.2× 21 793
S. Kachiguine United States 7 397 0.6× 303 0.6× 192 0.4× 61 1.0× 80 1.4× 10 487
Deborah E. Gunning United Kingdom 10 506 0.7× 464 0.9× 221 0.5× 236 3.8× 35 0.6× 20 713
Alexandru Andrei Belgium 13 684 1.0× 444 0.9× 496 1.1× 18 0.3× 257 4.4× 21 905

Countries citing papers authored by Spencer C. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Spencer C. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Spencer C. Chen. 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 Spencer C. Chen. The network helps show where Spencer C. Chen may publish in the future.

Co-authorship network of co-authors of Spencer C. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Spencer C. Chen. A scholar is included among the top collaborators of Spencer C. Chen 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 Spencer C. Chen. Spencer C. Chen 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.
2.
Chen, Spencer C., Yuzhi Chen, Wilson S. Geisler, & Eyal Seidemann. (2023). Neural correlates of perceptual similarity masking in primate V1. eLife. 12. 1 indexed citations
3.
Chen, Spencer C., et al.. (2023). Unilateral optogenetic kindling of hippocampus leads to more severe impairments of the inhibitory signaling in the contralateral hippocampus. Frontiers in Molecular Neuroscience. 16. 1268311–1268311. 1 indexed citations
5.
Chen, Spencer C., et al.. (2021). Similar masking effects of natural backgrounds on detection performances in humans, macaques, and macaque-V1 population responses. Journal of Neurophysiology. 125(6). 2125–2134. 1 indexed citations
6.
Solomon, Selina S., et al.. (2015). Emergence of Complex Wave Patterns in Primate Cerebral Cortex. Journal of Neuroscience. 35(11). 4657–4662. 61 indexed citations
7.
Solomon, Selina S., Spencer C. Chen, John W. Morley, & Samuel G. Solomon. (2014). Local and Global Correlations between Neurons in the Middle Temporal Area of Primate Visual Cortex. Cerebral Cortex. 25(9). 3182–3196. 37 indexed citations
8.
McDonald, J. S., Colin W. G. Clifford, Selina S. Solomon, Spencer C. Chen, & Samuel G. Solomon. (2013). Integration and segregation of multiple motion signals by neurons in area MT of primate. Journal of Neurophysiology. 111(2). 369–378. 40 indexed citations
9.
Matteucci, P, et al.. (2012). Threshold analysis of a quasimonopolar stimulation paradigm in visual prosthesis. PubMed. 2012. 2997–3000. 2 indexed citations
10.
Suaning, Gregg J., Sebastian Kisban, Spencer C. Chen, et al.. (2010). Discrete cortical responses from multi-site supra-choroidal electrical stimulation in the feline retina. PubMed. 49. 5879–5882. 7 indexed citations
11.
Green, Rylie A., C Dodds, P Matteucci, et al.. (2010). Conducting polymer electrodes for visual prostheses. PubMed. 2010. 6769–6772. 12 indexed citations
12.
Wong, Yan T., Spencer C. Chen, Jong-Mo Seo, et al.. (2009). Focal activation of the feline retina via a suprachoroidal electrode array. Vision Research. 49(8). 825–833. 87 indexed citations
13.
Chen, Spencer C., Gregg J. Suaning, John W. Morley, & Nigel H. Lovell. (2009). Rehabilitation regimes based upon psychophysical studies of prosthetic vision. Journal of Neural Engineering. 6(3). 35009–35009. 12 indexed citations
14.
Chen, Spencer C., Gregg J. Suaning, John W. Morley, & Nigel H. Lovell. (2009). Simulating prosthetic vision: I. Visual models of phosphenes. Vision Research. 49(12). 1493–1506. 112 indexed citations
15.
Chen, Spencer C., Gregg J. Suaning, John W. Morley, & Nigel H. Lovell. (2009). Simulating prosthetic vision: II. Measuring functional capacity. Vision Research. 49(19). 2329–2343. 48 indexed citations
16.
Chen, Spencer C., Luke E. Hallum, Gregg J. Suaning, & Nigel H. Lovell. (2006). Head Movement Dynamics of Prosthetic Vision: Virtual–Reality Simulation Study. Investigative Ophthalmology & Visual Science. 47(13). 3209–3209. 1 indexed citations
17.
Hallum, Luke E., Spencer C. Chen, Shaun L. Cloherty, & Nigel H. Lovell. (2006). Psychophysics of Prosthetic Vision: II. Stochastic Sampling, the Phosphene Image, and Noise. PubMed. 2006. 1634–1637. 7 indexed citations
18.
Hallum, Luke E., et al.. (2005). Simulating Prosthetic Vision. Investigative Ophthalmology & Visual Science. 46(13). 1522–1522. 18 indexed citations
19.
Chen, Spencer C., Nigel H. Lovell, & Gregg J. Suaning. (2005). Effect on prosthetic vision visual acuity by filtering schemes, filter cut-off frequency and phosphene matrix: a virtual reality simulation. PubMed. 4. 4201–4204. 17 indexed citations
20.
Chen, Spencer C., Luke E. Hallum, Nigel H. Lovell, & Gregg J. Suaning. (2005). Learning prosthetic vision: a virtual-reality study. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 13(3). 249–255. 20 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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