Yonghao Song

1.5k citations
29 papers · 797 indexed · 1 hit paper · h-index 14
Topics
EEG and Brain-Computer Interfaces (18 papers)Neuroscience and Neural Engineering (8 papers)Gaze Tracking and Assistive Technology (6 papers)
Partner nations
ChinaHong KongSingapore

In The Last Decade

Yonghao Song

26 papers receiving 780 citations

Hit Papers

EEG Conformer: Convolutional Transformer for EEG Decoding...20222026202320242022100200300

Peers

Yonghao Song
Comparison fields: 5 of 71
  • Cognitive Neuroscience 566
  • Artificial Intelligence 186
  • Cellular and Molecular Neuroscience 155
  • Human-Computer Interaction 145
  • Electrical and Electronic Engineering 130
Replace Zhao Lv with:
Zhao Lv China
Yunyuan Gao China
Mingai Li China
Sachin Taran India
Dong-Ok Won South Korea
Yuliang Ma China
Rami Alazrai Jordan
Vojkan Mihajlović Netherlands
Marcin Kołodziej Poland
Ridha Djemal Tunisia
Yonghao Song relative to Zhao Lv China Zhao Lv's profile →
Citations per field
00.5×1.5×2.2×
Zhao Lv · 1×
Citations per year

Countries citing papers authored by Yonghao Song

Since Specialization
Citations

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

Fields of papers citing papers by Yonghao Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yonghao 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 Yonghao Song. The network helps show where Yonghao Song may publish in the future.

Co-authorship network of co-authors of Yonghao Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yonghao Song. A scholar is included among the top collaborators of Yonghao Song 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 Yonghao Song. Yonghao Song 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
#WorkIndexed citations
1 0
2 1
3 11
4 7
5 9
6 0
7 29
8
EEG Conformer: Convolutional Transformer for EEG Decoding and Visualizationbreakdown →
361
9 19
10 11
11 14
12 12
13 36
14 19
15 18
16 2
17 17
18 6
19 21
20 0

About Yonghao Song

Yonghao Song is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 797 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Neuroscience and Neural Engineering (8 papers) and Gaze Tracking and Assistive Technology (6 papers). The work is most often cited by research in Cognitive Neuroscience (566 citations), Human-Computer Interaction (145 citations) and Signal Processing (122 citations). Yonghao Song has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Xiaorong Gao, Qingqing Zheng, Bingchuan Liu, Longhan Xie, Lie Yang, Ke Ma, Hongshen Chen, Xiaofang Zhao, Hengyi Cai and Dawei Yin. Their work appears in journals such as NeuroImage, Expert Systems with Applications 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.

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