3D LiDAR point-cloud tracking researcher at California Miramar University; first author of MAETrack and SAVTrack (2026)
3
papers here
3
reviewed by Evolve
2
first-author
0
corresponding
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works · OpenAlex
11
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-16) 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—
Output metrics are not available in the current snapshot, so this axis carries no score. It would measure publication volume and consistency over time — total works, annual output counts and venue-weighted productivity — and can only be scored once a complete, disambiguated record is linked to this researcher.
Impact—
Impact data is insufficient in the current snapshot, so this axis is unscored rather than estimated. It would measure citation-based influence — citations per paper, field-normalized citation impact and h-index trajectory — none of which can be reliably attached to this profile yet.
Focus0/100
The focus score is 0, reflecting a spread topic profile: the OpenAlex record places 'Video Surveillance and Tracking Methods' (16 works) and 'Human Pose and Action Recognition' (14) beside unrelated clusters like 'Bioenergy crop production and management' (13) and 'Yeasts and Rust Fungi Studies' (11). Yet the field distribution is 100% computer vision, split evenly between 3D point cloud tracking and LiDAR tracking — a tension better explained by record-level name ambiguity than by scattered current work.
Collaboration50/100
The collaboration score is 39, consistent with a compact network of about 6 distinct coauthors over the last three years. The recurring circle includes Linyue Tan, Ziyu Zhao, Xiaobo Lu, Qiwei Wang and Ziyu Liu. In both Evolve-reviewed papers Sifan Zhou is first author but not corresponding author, suggesting the researcher drives the technical contribution while a collaborator manages correspondence — a small-team pattern typical of fast-moving arXiv-first tracking research.
Activity100/100
Activity scores 100, the maximum. The OpenAlex record attributes 55 works to the last three years, with yearly counts climbing from 6 (2023) and 12 (2024) to 21 (2025) and 22 (2026 to date) — far above the 2019–2022 stretch of 1–4 works per year. The 2026 output includes two first-author arXiv papers, MAETrack and SAVTrack, indicating the current pace is concentrated in the 3D LiDAR tracking line.
Reproducibility55/100
Reproducibility averages 55 across the 2 Evolve-reviewed papers, both rated medium readiness. MAETrack is credited with strong ablations, but its review flags single-run statistics and a pretraining-data confound; SAVTrack reports consistent ~2–3 point KITTI/nuScenes gains at 82 FPS yet is judged incremental against its P2P baseline. Multi-seed reporting and code or pretraining-detail release would strengthen reproducible claims.
Research summary
Sifan Zhou, affiliated with California Miramar University (US), works on 3D single object tracking in LiDAR point clouds for autonomous-driving perception. The Evolve catalog includes two 2026 first-author arXiv papers: MAETrack, which pairs shallow-layer masked-autoencoder initialization with search-region gating to exploit pretrained geometric priors, and SAVTrack, which adds motion-conditioned vote gating to a P2P baseline, reporting consistent ~2–3 point KITTI/nuScenes gains at 82 FPS. Activity is the strongest signal in the snapshot: 55 works in the last three years, with annual counts rising from 6 (2023) and 12 (2024) to 21 (2025) and 22 (2026 to date), supporting an activity score of 100. Cumulative indicators remain modest — h-index 13 and i10-index 16 — and the output and impact dimensions lack sufficient data to score. The OpenAlex record is heterogeneous: alongside computer-vision topics it lists bioenergy-crop and yeast/rust-fungi clusters, so the profile is name-resolved from public bibliographic data, even though the field distribution is entirely computer vision. Collaboration is compact (score 39; about 6 distinct recent coauthors including Linyue Tan, Ziyu Zhao, Xiaobo Lu, Qiwei Wang and Ziyu Liu), and both reviewed papers are first-author, non-corresponding works rated medium for reproducibility readiness.
Collaboration pattern
Collaboration scores 39, consistent with a compact network of about 6 distinct coauthors over the last three years. The recurring circle includes Linyue Tan, Ziyu Zhao, Xiaobo Lu, Qiwei Wang and Ziyu Liu. In both catalog papers Sifan Zhou is first author but not corresponding author, suggesting the researcher drives the technical contribution while a senior collaborator handles correspondence — a small-team pattern typical of fast-moving arXiv-first tracking research.
Research keywords
Highlights
MAETrack: pretrained geometric priors for 3D LiDAR tracking
SAVTrack: reliability-aware vote aggregation at 82 FPS
Sharp output acceleration since 2025
The OpenAlex record attributes 21 works to 2025 and 22 to 2026 to date, up from 6 in 2023 and 12 in 2024 — the basis for a maximum activity score of 100 and 55 works over the last three years.
Timeline
- 2016Earliest works appear in the OpenAlex record, with 2 outputs attributed to 2016.
- 2017A productive early year: 12 works attributed to 2017, the record's pre-2025 peak.
- 2020Output falls to its quietest stretch — 1 work in 2020, with only 2 in 2022.
- 2024Recovery: 12 works, double 2023's count of 6, as the computer-vision line gathers pace.
- 2025Surge year with 21 works, approaching the record's historical peak.
- 202622 works to date, including two first-author arXiv papers — MAETrack and SAVTrack — on 3D LiDAR single object tracking.
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.
- All bibliometrics come from a single OpenAlex snapshot; citation-side impact and output-dimension scores are unavailable in this record.
- The OpenAlex record mixes computer-vision topics with unrelated clusters (bioenergy crops; yeasts and rust fungi), so this profile is name-resolved from public bibliographic data and may conflate same-name authors.
- Both reviewed papers are 2026 arXiv preprints; the reproducibility score rests on only 2 papers, both rated medium.
- The h-index (13) and i10-index (16) cover the whole OpenAlex record and may include works outside the reviewed 3D tracking focus.