Early-career researcher in EEG brain-computer interfaces and deep-learning-based wearable ECG signal quality assessment
2
papers here
0
reviewed by Evolve
1
first-author
0
corresponding
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works · OpenAlex
0
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-09-28) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.
Research profile
Output—
Not yet scored: OpenAlex records no aggregate output profile beyond three recent works, with h-index and i10-index both at 0. This axis would measure total publication volume and productivity trend across years once fuller coverage exists.
Impact—
Not yet scored: citation counts, h-index and i10-index are recorded as 0 in OpenAlex, which likely reflects sparse indexing rather than measured absence of influence. This axis would measure citation-based influence once coverage matures.
Focus—
Not yet scored: although Evolve's reviewed papers and topic tags suggest two clusters — EEG brain-computer interfaces and ambulatory ECG quality — the record is too thin for a concentration score. This axis would measure topical coherence versus spread.
Collaboration28/100
Scores 28/100, reflecting a compact network: OpenAlex lists only 3 distinct co-authors, with Sadasivan Puthusserypady, Marike Weisbjerg and Frederik Møllskov Trier recurring. Authorship patterns show a first-author contribution on the wearable ECG quality paper and a middle position on the EEG imagined-speech preprint, both arXiv 2026. The small collaborator set suggests an emerging researcher still building partnerships rather than an established multi-group consortium.
Activity40/100
Scores 40/100 on a thin but current record: OpenAlex counts 3 works in the last three years, all captured in the 2026 counts-by-year entry, and both catalogued papers are 2026 arXiv preprints. Activity is concentrated entirely in this single year, so the score reflects recent momentum from a very short publication window rather than a sustained multi-year cadence.
Reproducibility—
Not yet scored at the profile level. Evolve's per-paper reviews flag repro-readiness of medium for the EEG imagined-speech work and low for the ECG quality study (no baselines or code). This axis would measure code, data and protocol transparency.
Research summary
Xiaopeng Mao is an early-career researcher working at the intersection of machine learning and physiological signal processing, with catalogued output in two strands: EEG-based brain-computer interfaces and deep-learning assessment of wearable ECG signal quality. Both papers appeared on arXiv in 2026. The first, a co-authored middle-position contribution, presents a strictly subject-independent pipeline for decoding imagined speech from EEG, where spectral band-power features fed to a random-forest classifier reach 49.03% accuracy versus 37.97% for time-domain statistics; Evolve's review judges the baseline sound and useful while flagging that the leakage-claim framing and novelty need stronger support. The second, first-authored, applies an InceptionV3 network to continuous-wavelet-transform scalograms, achieving 91.6% accuracy on the CACHET-CADB ambulatory ECG corpus; the review notes promise but under-benchmarking, pathology-noise confounding, and no baselines or released code. OpenAlex bibliometrics remain thin: h-index and i10-index are recorded as 0, three works fall in the recent three-year window, three distinct co-authors are listed, and topic tags cluster around EEG and brain-computer interfaces, emotion and mood recognition, and atrial fibrillation and cardiac electrophysiology. The profile is name-resolved from public bibliographic data; no institutional affiliation is available.
Collaboration pattern
Xiaopeng Mao works within a compact co-author network: OpenAlex records 3 distinct co-authors, with Sadasivan Puthusserypady, Marike Weisbjerg and Frederik Møllskov Trier recurring across collaborations. The collaboration dimension scores 28/100, consistent with an early-stage network. Authorship is already varied — first author on the wearable ECG quality preprint, middle author on the EEG imagined-speech work — suggesting both leading and contributing roles within a small group.
Research keywords
Highlights
Strictly subject-independent imagined-speech decoding from EEG
91.6% accuracy in wearable ECG quality assessment
Ambulatory context-awareness for real-world ECG monitoring
Timeline
- 2026First-authored wearable ECG quality assessment preprint posted to arXiv: InceptionV3 on continuous-wavelet-transform scalograms reaches 91.6% accuracy on CACHET-CADB.
- 2026Co-authored (middle position) strictly subject-independent EEG imagined-speech decoding preprint posted to arXiv: spectral band power with random forest reaches 49.03% versus 37.97% for time-domain statistics.
- 2026OpenAlex records 3 works in the year with 3 distinct co-authors and h-index 0 — an early-career, single-year burst of catalogued output.
Papers in the Evolve catalog
Frequent co-authors
About this profile
This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.
- Bibliometric indicators are computed from OpenAlex only; h-index and i10-index are recorded as 0, which may reflect sparse indexing of very recent arXiv work rather than verified absence of citations.
- Institution, country and ORCID are unavailable; the profile is name-resolved from public bibliographic data, and 'Xiaopeng Mao' may be shared by multiple researchers.
- Only two Evolve-reviewed papers (both 2026 arXiv preprints) underpin the qualitative assessments; the evidence base is too small for claims about career trajectory.
- Counts-by-year coverage contains 2026 only, so longer-term productivity and impact trends cannot be assessed.