Hui Song
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 3
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- Power Transformer Diagnostics and Insulation 9
- Electrical Fault Detection and Protection 3
- Electrostatic Discharge in Electronics 3
- Aerosol Filtration and Electrostatic Precipitation 3
- Artificial Intelligence top 5%
- Topic Modeling 4
- Natural Language Processing Techniques 3
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- High voltage insulation and dielectric phenomena 12
- Co-authors
- Xiao‐Jing WangGehao ShengXiuchen JiangGuangyu Robert YangJiejie DaiWilliam T. NewsomeMadhura R. JoglekarHenry Kennedy
- Journals
- IEEE Transactions on Dielectrics and Electrical Insulation (5 papers)IEEE Transactions on Power Delivery (4 papers)High Voltage (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hui Song
48 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Cognitive Neuroscience 414
- Electrical and Electronic Engineering 504
- Artificial Intelligence 223
- Control and Systems Engineering 156
- Materials Chemistry 241
Countries citing papers authored by Hui Song
This map shows the geographic impact of Hui Song'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 Hui Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Song more than expected).
Fields of papers citing papers by Hui Song
This network shows the impact of papers produced by Hui Song. 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 Hui Song. The network helps show where Hui Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hui Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2018 | 13 | |
| 17 | 2017 | 200 | |
| 18 | 2016 | 7 | |
| 19 | 2016 | 146 | |
| 20 | 2011 | 2 |
About Hui Song
Hui Song is a scholar working on Acoustics and Ultrasonics, Energy Engineering and Power Technology, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include High voltage insulation and dielectric phenomena (12 papers), Power Transformer Diagnostics and Insulation (9 papers), Topic Modeling (4 papers), Electrical Fault Detection and Protection (3 papers), Electrostatic Discharge in Electronics (3 papers), Aerosol Filtration and Electrostatic Precipitation (3 papers), Natural Language Processing Techniques (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Cognitive Neuroscience (414 citations), Electrical and Electronic Engineering (504 citations), Artificial Intelligence (223 citations), Control and Systems Engineering (156 citations) and Materials Chemistry (241 citations). Hui Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiao‐Jing Wang, Gehao Sheng, Xiuchen Jiang, Guangyu Robert Yang, Jiejie Dai, William T. Newsome, Madhura R. Joglekar, Henry Kennedy, Lingen Luo and Qinqin Zhang. Their work appears in journals such as IEEE Transactions on Dielectrics and Electrical Insulation, IEEE Transactions on Power Delivery, High Voltage, The Heart Surgery Forum and IET Generation Transmission & Distribution.
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.