ML researcher at Chongqing Technology and Business University: efficient GUI agents and handwriting-based AD detection.
2
papers here
2
reviewed by Evolve
0
first-author
0
corresponding
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works · OpenAlex
1
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-17) 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—
No output score is available yet: the OpenAlex record is too sparse to rank productivity. This axis would measure total indexed works, venue placement and per-year volume; recent counts appear under activity instead.
Impact—
No impact score is available yet: citation-side data is insufficient, with only h-index 1 and i10-index 0 on record. This axis would measure citation counts, uptake of the two 2026 preprints and downstream influence.
Focus0/100
Scores 0, the lowest concentration: OpenAlex topics scatter across geomagnetism and paleomagnetism (4), geology and paleoclimatology (3), geological and geochemical analysis (2), advanced neural-network applications (2) and paleontology and stratigraphy (2), while the field distribution splits evenly (0.5/0.5) between GUI-agent AI and biomedical machine learning — no dominant direction has consolidated yet.
Collaboration51/100
Scores 51, mid-range: 12 distinct coauthors appear in the recent record, and both reviewed 2026 papers are middle-authored, non-corresponding team outputs. Recurring partners include Bizhe Bai, Jiakang Yuan, Hongming Wu, Xinyue Wang, Jie Ren, Siyao Chen, Tao Chen and Mounîm A. El-Yacoubi, consistent with small-team collaborative work rather than solo authorship.
Activity67/100
Scores 67: OpenAlex indexes 9 works in the last three years, with per-year counts climbing from 1 (2022) and 1 (2024) to 2 (2025) and 6 (2026). Both reviewed papers appeared as 2026 arXiv preprints, marking the record's steepest year-over-year rise.
Reproducibility20/100
Scores 20 (reproMean 20 over 2 scored papers), and both reviewed works rate low on reproducibility readiness: the handwriting AD paper reports 92.55% balanced accuracy on DARWIN but omits significance tests and tuning protocols, while the GUI-agent survey's cross-paper cost figures remain unnormalized.
Research summary
Huafeng Qin is a researcher at Chongqing Technology and Business University (China) whose recent, verifiable output sits at the intersection of two machine-learning areas: efficient LLM-powered GUI agents and biomedical machine learning for neurodegeneration, each accounting for half of the record's field distribution. The bibliometric footprint is early-stage but accelerating: OpenAlex indexes an h-index of 1 (i10-index 0), with 9 works over the last three years and yearly counts rising from 1 (2022) and 1 (2024) to 2 (2025) and 6 (2026). Two 2026 arXiv papers reviewed by Evolve illustrate the range. The first applies weakly-supervised, multiple-instance segment-risk discovery and healthy-normative calibration to online handwriting for Alzheimer's disease detection, reporting 92.55% balanced accuracy on DARWIN; Evolve calls the engineering solid but notes missing significance tests and tuning protocols. The second is a systems survey of efficient GUI agents covering observation, memory, action and runtime optimization, valued for its per-paper reported-versus-unreported cost tables, though cross-paper numbers remain unnormalized. Qin appears as a middle author, non-corresponding, on both reviewed works, within a 12-person distinct-coauthor network. OpenAlex topic tags lean toward geoscience themes, a divergence from the AI-oriented recent output flagged in the caveats.
Collaboration pattern
The recent record lists 12 distinct coauthors, and both reviewed 2026 papers are middle-authored, non-corresponding team outputs. Recurring partners include Bizhe Bai, Jiakang Yuan, Hongming Wu, Xinyue Wang, Jie Ren, Siyao Chen, Yuchen Ya, Fan Bai, Pai Peng, Tao Chen, Changqing Gong and Mounîm A. El-Yacoubi, spanning both the GUI-agent and biomedical-ML strands — a small-team, contributor-style collaboration pattern rather than solo or PI-led work.
Research keywords
Highlights
Weakly supervised segment-risk discovery for handwriting-based Alzheimer's detection
Systems survey of efficient GUI agents
Timeline
- 2022First indexed work appears in the OpenAlex record (1 work).
- 2024One indexed work; output remains intermittent before the recent ramp-up.
- 2025Two indexed works as research activity starts to build.
- 2026Most productive year: 6 indexed works, including both Evolve-reviewed arXiv papers on handwriting-based Alzheimer's detection and efficient GUI agents.
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.
- Bibliometrics come from OpenAlex only (identity: openalex); the output and impact dimensions are unscored, and h-index 1 / i10-index 0 reflect an early-stage record.
- OpenAlex topic tags lean heavily toward geoscience (geomagnetism, paleoclimatology, paleontology) while the reviewed works are AI/ML — possibly classification noise or a research pivot; the profile is name-resolved from public bibliographic data.
- Only 2 papers (both 2026 arXiv preprints, middle authorship, non-corresponding) carry Evolve reviews; other indexed works are unreviewed.
- The reproducibility score covers only 2 papers, and countsByYear span 2022–2026, so all metrics may shift quickly as the record grows.