Spencer C. Chen
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 5%
- Electrical and Electronic Engineering top 10%
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Nigel H. LovellGregg J. SuaningJohn W. MorleyLuke E. HallumSamuel G. SolomonSelina S. SolomonYan T. WongDavid Tsai
- Topics
- Neuroscience and Neural Engineering (27 papers)EEG and Brain-Computer Interfaces (18 papers)Advanced Memory and Neural Computing (17 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Journals
- Nature CommunicationsJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Spencer C. Chen
43 papers receiving 834 citations
Peers
Comparison fields: 5 of 55
- Cellular and Molecular Neuroscience 699
- Cognitive Neuroscience 515
- Electrical and Electronic Engineering 450
- Molecular Biology 62
- Biomedical Engineering 59
Countries citing papers authored by Spencer C. Chen
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 61 | |
| 7 | 37 | |
| 8 | 40 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 12 | |
| 12 | 87 | |
| 13 | 12 | |
| 14 | 112 | |
| 15 | 48 | |
| 16 | Head Movement Dynamics of Prosthetic Vision: Virtual–Reality Simulation Study | 1 |
| 17 | 7 | |
| 18 | Simulating Prosthetic Vision | 18 |
| 19 | 17 | |
| 20 | 20 |
About Spencer C. Chen
Spencer C. Chen is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Human-Computer Interaction, having authored 43 papers that have together received 852 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (27 papers), EEG and Brain-Computer Interfaces (18 papers) and Advanced Memory and Neural Computing (17 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (699 citations), Cognitive Neuroscience (515 citations) and Electrical and Electronic Engineering (450 citations). Spencer C. Chen has collaborated with scholars based in Australia, United States and United Kingdom. Frequent 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. Their work appears in journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.