Tiejun Liu

1.7k total citations
71 papers, 1.2k citations indexed

About

Tiejun Liu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing. According to data from OpenAlex, Tiejun Liu has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cognitive Neuroscience, 22 papers in Cellular and Molecular Neuroscience and 9 papers in Signal Processing. Recurrent topics in Tiejun Liu's work include EEG and Brain-Computer Interfaces (51 papers), Neural dynamics and brain function (29 papers) and Neuroscience and Neural Engineering (19 papers). Tiejun Liu is often cited by papers focused on EEG and Brain-Computer Interfaces (51 papers), Neural dynamics and brain function (29 papers) and Neuroscience and Neural Engineering (19 papers). Tiejun Liu collaborates with scholars based in China, United States and United Kingdom. Tiejun Liu's co-authors include Dezhong Yao, Peng Xu, Rui Zhang, Dezhong Yao, Fali Li, Peiyang Li, Yangsong Zhang, Yin Tian, Teng Ma and Diankun Gong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Tiejun Liu

66 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiejun Liu China 19 1.0k 325 199 138 116 71 1.2k
Yousef R. Tabar Denmark 9 791 0.8× 311 1.0× 174 0.9× 224 1.6× 93 0.8× 17 895
Guillaume Gibert France 12 872 0.8× 325 1.0× 157 0.8× 153 1.1× 100 0.9× 26 1.1k
S. Salinari Italy 25 1.5k 1.4× 279 0.9× 127 0.6× 117 0.8× 127 1.1× 77 1.8k
Alexander Craik United States 5 894 0.9× 186 0.6× 156 0.8× 152 1.1× 136 1.2× 9 1.0k
Michal Teplan Slovakia 7 903 0.9× 223 0.7× 153 0.8× 77 0.6× 154 1.3× 28 1.2k
Gary Garcia‐Molina United States 18 1.1k 1.1× 422 1.3× 152 0.8× 146 1.1× 237 2.0× 54 1.3k
Josef Faller United States 20 1.1k 1.1× 519 1.6× 123 0.6× 288 2.1× 83 0.7× 56 1.2k
Baikun Wan China 18 794 0.8× 321 1.0× 156 0.8× 130 0.9× 101 0.9× 92 1.2k
Emmanuel Maby France 13 996 1.0× 324 1.0× 78 0.4× 129 0.9× 124 1.1× 25 1.1k

Countries citing papers authored by Tiejun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiejun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Tiejun Liu. A scholar is included among the top collaborators of Tiejun 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 Tiejun Liu. Tiejun 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.
Wang, Lin, et al.. (2025). A Personalized Closed-Loop Brain Stimulation Protocol for Difficulty Falling Asleep. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 2368–2380.
3.
Zhang, Meihong, Shaokai Zhao, Zhiguo Luo, et al.. (2025). Self-supervised Contrastive Pre-training for Dry Electrode EEG Emotion Recognition via Cross Device Representation Consistency. 1–5. 1 indexed citations
4.
Gao, Dongrui, et al.. (2023). A multiscale feature fusion network based on attention mechanism for motor imagery EEG decoding. Applied Soft Computing. 151. 111129–111129. 17 indexed citations
5.
Zhang, Meihong, Zhiguo Luo, Liang Xie, et al.. (2023). Multimodal Vigilance Estimation With Modality-Pairwise Contrastive Loss. IEEE Transactions on Biomedical Engineering. 71(4). 1139–1150. 5 indexed citations
6.
Xie, Jiaxin, et al.. (2023). A Novel In-Home Sleep Monitoring System Based on Fully Integrated Multichannel Front-End Chip and Its Multilevel Analyses. IEEE Journal of Translational Engineering in Health and Medicine. 11. 211–222. 2 indexed citations
7.
Qin, Yun, et al.. (2023). Defocused mode in depressed mood and its changes in time-frequency attention-related beta. Journal of Neuroscience Methods. 402. 110014–110014. 4 indexed citations
8.
Zhao, Lingling, Yufan Zhang, Lei Wang, et al.. (2022). Quantitative signal quality assessment for large-scale continuous scalp electroencephalography from a big data perspective. Physiological Measurement. 44(3). 35009–35009. 11 indexed citations
9.
Xie, Jiaxin, et al.. (2021). Low Frequency Transcranial Alternating Current Stimulation Accelerates Sleep Onset Process. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 2540–2549. 13 indexed citations
10.
Chen, Ke, et al.. (2020). Monocular Visual Deprivation and Ocular Dominance Plasticity Measurement in the Mouse Primary Visual Cortex. Journal of Visualized Experiments. 1 indexed citations
11.
Gong, Diankun, et al.. (2019). Electronic-Sports Experience Related to Functional Enhancement in Central Executive and Default Mode Areas. Neural Plasticity. 2019. 1–7. 26 indexed citations
12.
Yang, Mi, Hui He, Mingjun Duan, et al.. (2018). The Effects of Music Intervention on Functional Connectivity Strength of the Brain in Schizophrenia. Neural Plasticity. 2018. 1–10. 30 indexed citations
13.
Cao, Weifang, Xingxing Zhang, Bo Sun, et al.. (2018). BOLD-fMRI reveals the association between renal oxygenation and functional connectivity in the aging brain. NeuroImage. 186. 510–517. 15 indexed citations
14.
Ma, Teng, Hui Li, Lili Deng, et al.. (2017). The hybrid BCI system for movement control by combining motor imagery and moving onset visual evoked potential. Journal of Neural Engineering. 14(2). 26015–26015. 88 indexed citations
15.
Ma, Teng, Yongjie Li, Peiyang Li, et al.. (2016). The extraction of motion-onset VEP BCI features based on deep learning and compressed sensing. Journal of Neuroscience Methods. 275. 80–92. 56 indexed citations
16.
Li, Peiyang, Xurui Wang, Fali Li, et al.. (2014). Autoregressive model in the Lp norm space for EEG analysis. Journal of Neuroscience Methods. 240. 170–178. 34 indexed citations
17.
Zhang, Yangsong, Peng Xu, Tiejun Liu, et al.. (2012). Multiple Frequencies Sequential Coding for SSVEP-Based Brain-Computer Interface. PLoS ONE. 7(3). e29519–e29519. 115 indexed citations
18.
Yao, Dezhong, et al.. (2009). Electroencephalogram Based Brain-Computer Interface: Key Techniques and Application Prospect. Dianzi Ke-ji Daxue xuebao. 2 indexed citations
19.
Lei, Xu, Ping Yang, Peng Xu, Tiejun Liu, & Dezhong Yao. (2009). Common Spatial Pattern Ensemble Classifier and Its Application in Brain-Computer Interface. Journal of Electronic Science and Technology. 7(1). 17–21. 13 indexed citations
20.
Fang, Guangzhan, Chunpeng Zhang, Yang Xia, et al.. (2009). The effect of different EEG derivations on sleep staging in rats: the frontal midline–parietal bipolar electrode for sleep scoring. Physiological Measurement. 30(7). 589–601. 8 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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