Quantum ML researcher at Oklahoma State University building hybrid quantum models for finance and time-series forecasting.
2
papers here
1
reviewed by Evolve
0
first-author
0
corresponding
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works · OpenAlex
8
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—
Not yet scored: Evolve's radar leaves this axis unscored because the underlying OpenAlex record lacks complete output metadata. This axis would measure total research productivity — number of works, publication venues, and the output trajectory — which here can only be partially glimpsed via annual work counts.
Impact—
Not yet scored: citation-level impact data (per-work citation counts and citation trajectory) is insufficient in the source snapshot. This axis would measure scholarly influence — how widely the work is cited and taken up by other researchers — and cannot be estimated from the material at hand.
Focus100/100
Scores 100/100 on focus, reflecting a tightly concentrated record: the five largest OpenAlex topic clusters — stock market forecasting methods (25 works), financial markets and investment strategies (15), quantum computing algorithms and architecture (14), blockchain applications and security (9), and explainable AI (6) — all orbit the intersection of quantum machine learning and quantitative finance, matching the single mapped field, quantum machine learning.
Collaboration36/100
Collaboration scores 36/100, indicating a compact working style: only 5 distinct co-authors appear in the recent OpenAlex record. Repeated collaborators — Samuel Yen-Chi Chen, Mu-En Lee, Yen-Ku Liu, Ming-Kai Hung, and Jun-Hao Chen — form a small, stable quantum machine learning circle, consistent with the two 2026 arXiv papers where Tsai appears as last author and as a middle author rather than a solo writer.
Activity100/100
Activity scores 100/100 on the strength of a steep recent ramp: 30 works in the last three years, with annual counts rising from 5 in 2022 and 4 in each of 2023 and 2024 to 11 in 2025 and 15 in 2026 — the two highest years on record, against single works in 2010, 2015, and 2016.
Reproducibility55/100
Reproducibility scores 55/100, based on a single Evolve-assessed paper (reproMean 55 from 1 paper): the recursive QLSTM temperature-forecasting study, rated medium for repro-readiness. Evolve's review credits a solid multi-seed experimental design but flags the absence of classical baselines and statistical significance tests — the main levers for lifting this score as more papers are assessed.
Research summary
Yun-Cheng Tsai is a researcher at Oklahoma State University (US) whose profile, assembled from OpenAlex bibliographic records and Evolve-reviewed papers, sits at the intersection of quantum machine learning and quantitative finance. Topic counts show stock market forecasting methods (25 works) and financial markets and investment strategies (15) as the largest clusters, followed by quantum computing algorithms and architecture (14), blockchain applications and security (9), and explainable AI (6). Output is strongly current: 30 works in the last three years, with annual counts rising from 5 in 2022 and 4 in 2023 and 2024 to 11 in 2025 and 15 in 2026, after a sparse early phase of single works in 2010, 2015, and 2016. Cumulative impact indicators are modest — h-index 8 and i10-index 8 — consistent with an active but early-visibility record. Two 2026 arXiv papers appear in the Evolve catalog: a recursive quantum long short-term memory (QLSTM) study for short-horizon temperature forecasting, with Tsai as last author, and Titans-QFWP, a regime-aware hybrid quantum fast weight programmer for portfolio optimization, with Tsai as a middle author. Evolve's review calls the QLSTM paper a solid multi-seed study that lacks classical baselines and significance tests, rating its reproducibility readiness medium; the reproducibility mean is 55 from 1 assessed paper.
Collaboration pattern
Tsai works in a small, stable circle: the recent OpenAlex record lists only 5 distinct co-authors, and the same names recur as frequent collaborators — Samuel Yen-Chi Chen, Mu-En Lee, Yen-Ku Liu, Ming-Kai Hung, and Jun-Hao Chen. On both 2026 arXiv catalog papers Tsai is not first or corresponding author — last author on the recursive QLSTM study, middle author on Titans-QFWP — consistent with a senior-contributor role inside a quantum machine learning team.
Research keywords
Highlights
Recursive QLSTM for stable short-horizon temperature forecasting (2026)
Titans-QFWP: regime-aware hybrid quantum fast weight programmer for portfolio optimization (2026)
Middle-authored 2026 arXiv paper combining hybrid quantum fast weight programming with regime awareness for portfolio optimization, extending the finance side of Tsai's topic profile. Not yet reviewed by Evolve, so no verdict, keywords, or repro-readiness rating is available.
2025–2026 output surge centered on quantum finance (bibliometric highlight)
OpenAlex annual counts jump from 4 works in 2024 to 11 in 2025 and 15 in 2026 (30 works over the last three years), with the largest topic clusters — stock market forecasting methods (25) and financial markets and investment strategies (15) — sitting alongside quantum computing algorithms and architecture (14).
Timeline
- 2010First work recorded in the OpenAlex profile: 1 publication, beginning a sparse early phase that also shows single works in 2015 and 2016.
- 2018Output picks up: 6 works recorded, the highest annual count of the early phase, followed by 3 in 2019 and 6 again in 2020.
- 2022Mid-phase plateau: 5 works recorded in 2022, holding at 4 works in each of 2023 and 2024 as the publication record stabilizes.
- 2025Acceleration year: 11 works recorded, nearly triple the 2024 count and the highest annual total to that point.
- 2026Peak year with 15 works recorded; both Evolve-catalog papers appear — the recursive QLSTM temperature-forecasting study (last author) and Titans-QFWP for portfolio optimization (middle author).
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 (h-index 8, i10-index 8, annual counts, topics, co-author counts) come from OpenAlex only and may lag or split identities; this profile is name-resolved from public bibliographic data, not a verified biography.
- Output and impact radar axes are unscored because complete output metadata and citation-level data were unavailable in the source snapshot.
- Only 2 papers (both 2026 arXiv preprints) are in the Evolve catalog and only 1 has been reviewed; the reproducibility score rests on that single paper (reproMean 55, reproPapers 1).
- Titans-QFWP has no Evolve verdict, keywords, or repro-readiness rating yet, so statements about it are limited to title, year, author position, and source.