Runchun Wang
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Hearing Loss and Rehabilitation
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- Neuroscience and Neural Engineering
Papers in
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- Advanced Memory and Neural Computing 20
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- Neural dynamics and brain function 11
- Hearing Loss and Rehabilitation 5
- Co-authors
- André van Schaik (26 shared papers)Tara Julia Hamilton (19 shared papers)Jonathan Tapson (16 shared papers)Chetan Singh Thakur (9 shared papers)Gregory Cohen (5 shared papers)Klaus M. Stiefel (1 shared paper)Ying Xu (8 shared papers)Alistair McEwan (1 shared paper)
- Journals
- IEEE Transactions on Circuits and Systems I Regular Papers (3 papers)Frontiers in Neuroscience (3 papers)Applied Sciences (1 paper)IEEE Transactions on Biomedical Circuits and Systems (1 paper)
- Partner nations
- AustraliaIndiaUnited States
In The Last Decade
Runchun Wang
26 papers receiving 291 citations
Peers
Comparison fields: 5 of 30
- Cognitive Neuroscience 160
- Cellular and Molecular Neuroscience 111
- Electrical and Electronic Engineering 256
- Artificial Intelligence 78
- Signal Processing 20
Countries citing papers authored by Runchun Wang
This map shows the geographic impact of Runchun Wang'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 Runchun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runchun Wang more than expected).
Fields of papers citing papers by Runchun Wang
This network shows the impact of papers produced by Runchun Wang. 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 Runchun Wang. The network helps show where Runchun Wang may publish in the future.
Co-authors
The 14 scholars most cited alongside Runchun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 56 | |
| 2 | 2017 | 36 | |
| 3 | 2014 | 25 | |
| 4 | 2016 | 21 | |
| 5 | 2017 | 16 | |
| 6 | 2015 | 14 | |
| 7 | 2011 | 14 | |
| 8 | 2015 | 13 | |
| 9 | 2014 | 11 | |
| 10 | 2018 | 9 | |
| 11 | 2014 | 9 | |
| 12 | 2016 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2014 | 7 | |
| 15 | 2011 | 7 | |
| 16 | 2018 | 7 | |
| 17 | 2012 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2018 | 5 |
About Runchun Wang
Runchun Wang is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence and Signal Processing, having authored 28 papers that have together received 299 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (20 papers), Neural dynamics and brain function (11 papers), Neuroscience and Neural Engineering (10 papers), Neural Networks and Applications (7 papers), Hearing Loss and Rehabilitation (5 papers), Neural Networks and Reservoir Computing (5 papers), Speech and Audio Processing (4 papers) and Acoustic Wave Phenomena Research (4 papers). The work is most often cited by research in Cognitive Neuroscience (160 citations), Cellular and Molecular Neuroscience (111 citations), Electrical and Electronic Engineering (256 citations), Artificial Intelligence (78 citations) and Signal Processing (20 citations). Runchun Wang has collaborated with scholars based in Australia, India and United States. Frequent co-authors include André van Schaik, Tara Julia Hamilton, Jonathan Tapson, Chetan Singh Thakur, Gregory Cohen, Klaus M. Stiefel, Ying Xu, Alistair McEwan, Craig Jin and Saeed Afshar. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, Frontiers in Neuroscience, Applied Sciences and IEEE Transactions on Biomedical Circuits and Systems.
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.