Liya Huang

530 total citations
35 papers, 342 citations indexed

About

Liya Huang is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Electrical and Electronic Engineering. According to data from OpenAlex, Liya Huang has authored 35 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 9 papers in Experimental and Cognitive Psychology and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Liya Huang's work include EEG and Brain-Computer Interfaces (11 papers), Functional Brain Connectivity Studies (9 papers) and Emotion and Mood Recognition (6 papers). Liya Huang is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Functional Brain Connectivity Studies (9 papers) and Emotion and Mood Recognition (6 papers). Liya Huang collaborates with scholars based in China, United States and Hong Kong. Liya Huang's co-authors include Guan Gui, Fei Dai, Jian Xiong, Ruqing Wang, Yao Chen, Shenglin Wang, Yuhong Zhang, Xiefeng Cheng, Shujun Zhang and Mingdong Yi and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Liya Huang

31 papers receiving 330 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liya Huang China 9 146 134 94 66 35 35 342
Sachin Taran India 9 138 0.9× 220 1.6× 22 0.2× 14 0.2× 31 0.9× 9 304
Ruoyu Du China 8 124 0.8× 223 1.7× 45 0.5× 28 0.4× 38 1.1× 28 328
Wenwen Chang China 11 57 0.4× 247 1.8× 20 0.2× 26 0.4× 47 1.3× 44 355
Mengyuan Zhao China 8 217 1.5× 269 2.0× 42 0.4× 19 0.3× 71 2.0× 22 432
Igor Farkaš Slovakia 12 39 0.3× 162 1.2× 43 0.5× 62 0.9× 234 6.7× 37 466
Minh Khoa Nguyen Singapore 8 213 1.5× 382 2.9× 37 0.4× 27 0.4× 41 1.2× 17 509
Martyn Ratcliffe United Kingdom 10 93 0.6× 325 2.4× 46 0.5× 23 0.3× 53 1.5× 16 448
Xinlin Sun China 11 98 0.7× 214 1.6× 19 0.2× 36 0.5× 34 1.0× 23 312
Shaokai Zhao China 7 104 0.7× 246 1.8× 22 0.2× 32 0.5× 25 0.7× 23 313
Seok-Pil Lee South Korea 12 66 0.5× 174 1.3× 103 1.1× 21 0.3× 78 2.2× 57 492

Countries citing papers authored by Liya Huang

Since Specialization
Citations

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

Fields of papers citing papers by Liya Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liya Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Liya Huang. A scholar is included among the top collaborators of Liya Huang 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 Liya Huang. Liya Huang 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
1.
2.
Liu, Weilin, Yuan Liao, Yuxiang Zhang, et al.. (2025). Microcrack-Enhanced PEDOT:PSS Textile for Rapid-Response, Stable, and Breathable Wearable Sensors. ACS Sensors. 10(9). 6788–6799.
3.
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Huang, Liya, et al.. (2024). Sequence-Aware Graph Neural Network Incorporating Neighborhood Information for Session-Based Recommendation. International Journal of Computational Intelligence Systems. 17(1).
5.
Chen, Wei, et al.. (2024). EEG-based emotion recognition using graph convolutional neural network with dual attention mechanism. Frontiers in Computational Neuroscience. 18. 1416494–1416494. 11 indexed citations
6.
Zhang, Yuyao, et al.. (2024). An enhanced algorithm for object detection based on generative adversarial structure. Engineering Applications of Artificial Intelligence. 133. 108427–108427. 1 indexed citations
7.
Chen, Wei, et al.. (2024). Emotion recognition of EEG signals based on contrastive learning graph convolutional model. Journal of Neural Engineering. 21(4). 46060–46060. 4 indexed citations
8.
Li, Ran, et al.. (2024). Joint extraction model of entity relations based on decomposition strategy. Scientific Reports. 14(1). 1786–1786. 2 indexed citations
9.
Lei, Jingsheng, et al.. (2023). Pairwise Guided Multilayer Cross-Fusion Network for Bird Image Recognition. Electronics. 12(18). 3817–3817.
10.
Wang, Shenglin, et al.. (2023). A multi-head residual connection GCN for EEG emotion recognition. Computers in Biology and Medicine. 163. 107126–107126. 23 indexed citations
11.
Wang, Ruqing, et al.. (2023). Ranking nodes in complex networks based on TsRank. Physica A Statistical Mechanics and its Applications. 624. 128942–128942. 2 indexed citations
12.
Chen, Yao, et al.. (2022). Research on Working Memory States Based on Weighted K -Order Propagation Number Algorithm: An EEG Perspective. Journal of Sensors. 2022. 1–10. 4 indexed citations
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Zhang, Yuhong, et al.. (2021). Emergency Braking Intention Detect System Based on K-Order Propagation Number Algorithm: A Network Perspective. Brain Sciences. 11(11). 1424–1424. 7 indexed citations
15.
Zhang, Peng, Yun Guo, Mingdong Yi, et al.. (2020). An organic field effect transistor memory adopting octadecyltrichlorosilane self-assembled monolayer. Journal of Physics D Applied Physics. 54(9). 95106–95106. 3 indexed citations
16.
Dong, Jun, et al.. (2020). Research on the Node Importance of a Weighted Network Based on the K-Order Propagation Number Algorithm. Entropy. 22(3). 364–364. 16 indexed citations
17.
Huang, Liya, et al.. (2019). Node importance based on the weighted <i>K</i>-order propagation number algorithm. Acta Physica Sinica. 68(12). 128901–128901. 6 indexed citations
18.
Huang, Liya, et al.. (2019). Network heterogeneity based on <i>K</i>-order structure entropy. Acta Physica Sinica. 68(1). 18901–18901. 9 indexed citations
19.
Chen, Zhiyang, et al.. (2017). A new algorithm for classification of ictal and pre-ictal epilepsy ECoG using MI and SVM. 212–216. 8 indexed citations
20.
Huang, Liya, et al.. (2011). Improved multi-fractal network traffic model and its performance analysis. The Journal of China Universities of Posts and Telecommunications. 18(5). 102–107. 1 indexed citations

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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