Author

Ruoling Wu

Chinese Academy of SciencesORCID 0009-0003-9426-6087Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:human· 2 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Julia BerezutskayaiD· 1 shared Lanting Zeng· 1 shared Mingrou GuoiD· 1 shared Nick F. RamseyiD· 1 shared Pengfei WeiiD· 1 shared Yu LuoiD· 1 shared Zachary V. FreudenburgiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 9 mutual co-author links

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1 shared paperNeuroscience

Julia BerezutskayaORCID

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2 papers

Recent·Most cited

NeuroscienceJournal of Neural EngineeringPeer-reviewedMar 3, 2026

Across-speaker articulatory reconstruction from sensorimotor cortex for generalizable brain-computer interfaces

Ruoling Wu, Julia Berezutskaya, Zachary V. Freudenburg, Nick F. Ramsey

This paper reconstructs articulatory features from brain signals using generalizable features from able-bodied individuals, achieving high correlation in three participants.

DOI 10.1088/1741-2552/ae4cca

humanelectronic health records

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NeuroscienceFrontiers in Aging NeurosciencePeer-reviewedMar 10, 2022

The effects of electroencephalogram feature-based transcranial alternating current stimulation on working memory and electrophysiology

Lanting Zeng, Mingrou Guo, Ruoling Wu…·Pengfei Wei

This study uses EEG features to select tACS parameters for improving working memory, finding that 8 Hz prefrontal tACS significantly enhances verbal working memory compared to 40 Hz and sham.

21 citations

humanelectronic health records

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