AI researcher at Hubei University working on GUI agents, vision-language models, and multimodal representation learning.
2
papers here
1
reviewed by Evolve
1
first-author
0
corresponding
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works · OpenAlex
0
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 scoreable: the snapshot reports h-index 0 and i10-index 0 with no output totals computed. This axis would measure cumulative publication volume and per-year productivity; the current record (3 recent works) is too thin to support a score.
Impact—
Insufficient data: h-index and i10-index are both 0 and no citation counts are provided in this snapshot. This axis would measure citation-based influence — citations, citing works, and field-weighted impact — and cannot be estimated here.
Focus100/100
Focus scores 100, the maximum. The recorded field distribution contains exactly one field — artificial intelligence (GUI agents / vision-language models) — and both 2026 catalog papers sit inside AI and multimodal machine learning, indicating a tightly concentrated early research identity. One caution: the broader OpenAlex topic list also contains ethics-of-AI, law-and-regulation, IP, topic-modeling, and graph-neural-network entries, which may be name-resolution noise rather than a second research line.
Collaboration62/100
Collaboration scores 62. The OpenAlex record lists 21 distinct coauthors, and the frequent-collaborator list is led by Pei Fu — who appears twice — followed by Daiqing Wu, Huawen Shen, Ruoceng Zhang, Shaojie Zhang, Jiahui Yang, Yu Zhou, Can Ma, Zhenbo Luo, and Jian Luan. Notably, Yan Zhang itself appears inside that coauthor list, a further hint of same-name records. The pattern suggests team-based, multi-author deep-learning work rather than solo output.
Activity40/100
Activity scores 40. The yearly counts show 1 work in 2025 and 2 in 2026, and the record totals 3 works within the recent three-year window — a modest but rising cadence concentrated in the last two years. As an early-stage profile, the sample is still too small to establish a steady publishing rhythm.
Reproducibility20/100
Reproducibility scores 20 (reproMean 20 across 1 scored paper). The only reviewed paper — the first-author GUI-agent navigation work — is rated low for reproducibility readiness, and Evolve's verdict specifically notes the absence of significance tests behind its reported 2-3 point gains.
Research summary
Yan Zhang is an early-career artificial-intelligence researcher at Hubei University (China), with a profile resolved from OpenAlex bibliographic records; no ORCID is linked, an important caveat given how common the name is. The snapshot records 3 works in the past three years — 1 appearing in 2025 and 2 in 2026 — so the publication record is just beginning to accumulate. The clearest signal is a 2026 first-author arXiv paper, Towards Omni-dimensional GUI Agent Navigation with Masked Trajectory Prediction, which unifies GUI navigation tasks via masked trajectory prediction; Evolve's review notes solid 2-3 point gains over mixture training across 5 benchmarks, while flagging the absence of significance tests and a low reproducibility readiness rating. A second 2026 arXiv paper, on multi-perspective enhancement and progressive fusion for multimodal entity representation learning, lists the author in a middle position and has not yet been reviewed. Methodically, the work leans on vision-language models, LoRA adapters, and multi-task learning, with attention to gradient conflict. The recorded field distribution contains a single field — artificial intelligence (GUI agents / vision-language models) — yielding a focus score of 100, though the broader OpenAlex topic list spans law, ethics, and graph-learning themes that may reflect name-resolution noise. Collaboration is moderate (score 62), with 21 distinct coauthors including recurring partners such as Pei Fu and Daiqing Wu. Output and impact remain unscored: h-index and i10-index both read 0.
Collaboration pattern
The record lists 21 distinct coauthors. Recurring names in the frequent-collaborator list are Pei Fu (appearing twice), Daiqing Wu, Huawen Shen, Ruoceng Zhang, Shaojie Zhang, Jiahui Yang, Yu Zhou, Can Ma, Zhenbo Luo, and Jian Luan — a large, team-style network typical of applied deep-learning groups. Oddly, Yan Zhang itself appears among the coauthors, consistent with a same-name record being merged, so specific collaborator attributions deserve caution.
Research keywords
Highlights
First-author paper unifies GUI agent navigation via masked trajectory prediction
Multi-perspective enhancement and progressive fusion for multimodal entity representation
A 2026 arXiv paper on multimodal entity representation learning that combines multi-perspective enhancement with progressive fusion. The author appears in a middle position, and the paper has not yet been reviewed by Evolve — no verdict, keywords, or repro-readiness rating is available.
Timeline
- 2025Earliest record in the profile's yearly counts: 1 work published in 2025; its title is not part of the provided data.
- 2026First-author arXiv paper Towards Omni-dimensional GUI Agent Navigation with Masked Trajectory Prediction appears; Evolve reviews it with a positive-but-cautious verdict.
- 2026Second arXiv paper of the year, on multi-perspective enhancement and progressive fusion for multimodal entity representation learning, with the author in a middle position.
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; no ORCID is linked, and Yan Zhang is a very common name, so identity resolution carries ambiguity risk.
- The OpenAlex topic profile (AI ethics, law and regulation, IP, topic modeling, graph neural networks) diverges from the two reviewed AI/ML papers and may reflect name-resolution noise rather than a second research line.
- Output and impact are unscored because h-index and i10-index are 0 and no citation data is included in the snapshot.
- Only one catalog paper has an Evolve verdict, keywords, and a repro-readiness rating; the second paper is unreviewed and has no slug.