Junbiao Liu

556 total citations
24 papers, 410 citations indexed

About

Junbiao Liu is a scholar working on Cognitive Neuroscience, Signal Processing and Molecular Biology. According to data from OpenAlex, Junbiao Liu has authored 24 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 12 papers in Signal Processing and 4 papers in Molecular Biology. Recurrent topics in Junbiao Liu's work include EEG and Brain-Computer Interfaces (19 papers), Blind Source Separation Techniques (12 papers) and Functional Brain Connectivity Studies (4 papers). Junbiao Liu is often cited by papers focused on EEG and Brain-Computer Interfaces (19 papers), Blind Source Separation Techniques (12 papers) and Functional Brain Connectivity Studies (4 papers). Junbiao Liu collaborates with scholars based in China, Macao and Egypt. Junbiao Liu's co-authors include Jiuwen Cao, Duanpo Wu, Xiaoping Lai, Wenbin Hu, Lurong Jiang, Tiejia Jiang, Yan Li, Weifeng Xu, Fang Dong and Dinghan Hu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Junbiao Liu

22 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junbiao Liu China 12 295 128 62 49 49 24 410
Duanpo Wu China 12 278 0.9× 100 0.8× 48 0.8× 27 0.6× 39 0.8× 39 379
Yunbo Tang China 11 274 0.9× 93 0.7× 65 1.0× 23 0.5× 49 1.0× 27 434
Inung Wijayanto Indonesia 12 238 0.8× 129 1.0× 82 1.3× 43 0.9× 47 1.0× 90 438
Junzhong Zou China 10 321 1.1× 168 1.3× 95 1.5× 25 0.5× 55 1.1× 25 470
Tiejia Jiang China 15 391 1.3× 119 0.9× 53 0.9× 40 0.8× 147 3.0× 57 538
Zafer İşcan Türkiye 10 372 1.3× 121 0.9× 63 1.0× 30 0.6× 37 0.8× 19 569
Ziad Sankari United States 5 345 1.2× 99 0.8× 55 0.9× 27 0.6× 40 0.8× 7 485
Yuedong Song United Kingdom 7 420 1.4× 240 1.9× 135 2.2× 50 1.0× 47 1.0× 10 521
Arti Anuragi India 9 302 1.0× 121 0.9× 43 0.7× 20 0.4× 27 0.6× 13 393

Countries citing papers authored by Junbiao Liu

Since Specialization
Citations

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

Fields of papers citing papers by Junbiao Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junbiao Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Junbiao Liu. A scholar is included among the top collaborators of Junbiao Liu 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 Junbiao Liu. Junbiao Liu 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.
Wu, Duanpo, et al.. (2026). A deep random forest method for epileptic seizure detection based on sample evaluation and channel reduction. Biomedical Signal Processing and Control. 117. 109554–109554.
2.
Jiang, Lurong, et al.. (2025). A multi-domain feature fusion epilepsy seizure detection method based on spike matching and PLV functional networks. Journal of Neural Engineering. 22(1). 16025–16025.
3.
Wu, Duanpo, et al.. (2024). Algorithm for drowsiness detection based on hybrid brain network parameter optimization. Biomedical Signal Processing and Control. 94. 106344–106344. 1 indexed citations
4.
Dong, Fang, et al.. (2023). Novel seizure detection algorithm based on multi-dimension feature selection. Biomedical Signal Processing and Control. 84. 104747–104747. 13 indexed citations
5.
Jiang, Lurong, et al.. (2023). An improved BECT spike detection method with functional brain network features based on PLV. Frontiers in Neuroscience. 17. 1150668–1150668. 5 indexed citations
6.
Wu, Duanpo, et al.. (2023). Grouped Multivariate Variational Mode Decomposition With Application to EEG Analysis. IEEE Transactions on Biomedical Engineering. 71(4). 1332–1344. 3 indexed citations
7.
Liu, Junbiao, Minmin Li, Bi‐Cheng Wang, et al.. (2022). Circular RNA circMET contributes to tamoxifen resistance of breast cancer cells by targeting miR-204/AHR signaling. Biochemical and Biophysical Research Communications. 627. 200–206. 5 indexed citations
8.
Wu, Duanpo, Jie Li, Fang Dong, et al.. (2022). Classification of seizure types based on multi-class specific bands common spatial pattern and penalized ensemble model. Biomedical Signal Processing and Control. 79. 104118–104118. 9 indexed citations
9.
Wu, Duanpo, Fang Dong, Junbiao Liu, et al.. (2022). Seizure detection algorithm based on fusion of spatio-temporal network constructed with dispersion index. Biomedical Signal Processing and Control. 79. 104155–104155. 13 indexed citations
10.
Wu, Duanpo, Lurong Jiang, Fang Dong, et al.. (2022). BECT Spike Detection Algorithm Based on Optimal Template Matching and Morphological Feature Selection. IEEE Transactions on Circuits & Systems II Express Briefs. 69(4). 2366–2370. 11 indexed citations
11.
Jiang, Lurong, et al.. (2022). Seizure detection algorithm based on improved functional brain network structure feature extraction. Biomedical Signal Processing and Control. 79. 104053–104053. 39 indexed citations
12.
Dong, Fang, et al.. (2022). Seizure Detection Based on Improved Genetic Algorithm Optimized Multilayer Network. IEEE Access. 10. 81343–81354. 15 indexed citations
13.
Liu, Junbiao, et al.. (2020). Automatic Sleep Stage Classification With Single Channel EEG Signal Based on Two-Layer Stacked Ensemble Model. IEEE Access. 8. 57283–57297. 56 indexed citations
14.
Hu, Dinghan, et al.. (2020). Epileptic Signal Classification Based on Synthetic Minority Oversampling and Blending Algorithm. IEEE Transactions on Cognitive and Developmental Systems. 13(2). 368–382. 33 indexed citations
15.
Wu, Duanpo, et al.. (2019). Epileptic Seizure Detection System Based on Multi-Domain Feature and Spike Feature of EEG. International Journal of Humanoid Robotics. 16(4). 1950016–1950016. 7 indexed citations
16.
Hu, Dinghan, Jiuwen Cao, Xiaoping Lai, & Junbiao Liu. (2019). Epileptic State Classification based on Intrinsic Mode Function and Wavelet Packet Decomposition. PubMed. 2019. 2382–2385. 5 indexed citations
17.
Li, Chunling, et al.. (2019). Prediction of Length of Stay on the Intensive Care Unit Based on Least Absolute Shrinkage and Selection Operator. IEEE Access. 7. 110710–110721. 16 indexed citations
18.
Hu, Wenbin, Jiuwen Cao, Xiaoping Lai, & Junbiao Liu. (2019). Mean amplitude spectrum based epileptic state classification for seizure prediction using convolutional neural networks. Journal of Ambient Intelligence and Humanized Computing. 14(11). 15485–15495. 74 indexed citations
19.
Liu, Junbiao, Xinyu Jin, Fang Dong, Liang He, & Hong Liu. (2016). Fading channel modelling using single-hidden layer feedforward neural networks. Multidimensional Systems and Signal Processing. 28(3). 885–903. 26 indexed citations
20.
Liu, Junbiao & Yan Li. (2015). Trichostatin A and Tamoxifen inhibit breast cancer cell growth by miR-204 and ERα reducing AKT/mTOR pathway. Biochemical and Biophysical Research Communications. 467(2). 242–247. 22 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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