Yansong Chua
- Electrical and Electronic Engineering top 10%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Cellular and Molecular Neuroscience
- Signal Processing top 10%
- Topics
- Advanced Memory and Neural Computing (25 papers)Neural dynamics and brain function (19 papers)Ferroelectric and Negative Capacitance Devices (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Neural Networks and Learning Systems
In The Last Decade
Yansong Chua
30 papers receiving 571 citations
Peers
Comparison fields: 5 of 60
- Electrical and Electronic Engineering 445
- Cognitive Neuroscience 367
- Artificial Intelligence 226
- Cellular and Molecular Neuroscience 78
- Signal Processing 58
Countries citing papers authored by Yansong Chua
This map shows the geographic impact of Yansong Chua'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 Yansong Chua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yansong Chua more than expected).
Fields of papers citing papers by Yansong Chua
This network shows the impact of papers produced by Yansong Chua. 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 Yansong Chua. The network helps show where Yansong Chua may publish in the future.
Co-authorship network of co-authors of Yansong Chua
This figure shows the co-authorship network connecting the top 25 collaborators of Yansong Chua. A scholar is included among the top collaborators of Yansong Chua 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 Yansong Chua. Yansong Chua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 120 | |
| 11 | Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks | 15 |
| 12 | 15 | |
| 13 | 31 | |
| 14 | A Tandem Learning Rule for Efficient and Rapid Inference on Deep Spiking Neural Networks | 11 |
| 15 | Robust Sound Recognition: A Neuromorphic Approach. | 7 |
| 16 | 36 | |
| 17 | 4 | |
| 18 | 87 | |
| 19 | 4 | |
| 20 | Multiple Plasticity Mechanisms Enhance Associative Memory Retrieval in a Spiking Network Model of the Hippocampus. | 1 |
About Yansong Chua
Yansong Chua is a scholar working on Cognitive Neuroscience, Acoustics and Ultrasonics and Developmental Biology, having authored 33 papers that have together received 581 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (25 papers), Neural dynamics and brain function (19 papers) and Ferroelectric and Negative Capacitance Devices (9 papers). The work is most often cited by research in Cognitive Neuroscience (367 citations), Electrical and Electronic Engineering (445 citations) and Artificial Intelligence (226 citations). Yansong Chua has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Haizhou Li, Jibin Wu, Malu Zhang, Kay Chen Tan, Guoqi Li, Zihan Pan, Hong Qu, Ammar Belatreche, Laxmi Iyer and Xiurui Xie. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Neural Networks and Learning 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.