Fudan researcher in AI agents and human-AI collaboration: 29 works in 3 years, 77 coauthors, team-embedded
2
papers here
1
reviewed by Evolve
0
first-author
0
corresponding
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works · OpenAlex
6
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: publication-volume and output-consistency metrics are insufficient in the current record. This axis would measure total works, output trajectory, and venue spread once a cleaner, disambiguated publication list is available.
Impact—
Not yet scored: citation and impact data are insufficient for a reliable reading. This axis would measure accumulated citations, h-index trajectory, and downstream uptake of the work once disambiguated citation records accumulate.
Focus100/100
Scores 100 on focus. The field distribution assigns the record to a single field — AI agents and human-AI collaboration — matching both catalogue papers. Within the topic list, AI-based Problem Solving and Planning is the largest cluster with 8 hits, followed by Topic Modeling with 6; smaller clusters of 4 hits each, including microfluidic electrophoresis, suggest residual record breadth worth disambiguating.
Collaboration87/100
Scores 87 on collaboration, grounded in 77 distinct coauthors in the record. Twelve recur as frequent collaborators — including Shihan Dou, Haoxiang Jia, Shichun Liu, and Feng Chen — indicating a core team plus a wide periphery. The 29 works across 2024–2026 were produced in co-authored form, and both Evolve-catalogue papers place this researcher in a middle author position rather than first or corresponding, pointing to a strongly team-embedded working style.
Activity99/100
Scores 99 on activity, one of the strongest signals in this profile. The record shows 29 works in the last three years, with annual counts moving from 9 (2024) to 8 (2025) to 12 (2026), after a single earlier record in 2016. Sustained, accelerating output through 2026 marks an intensive current production phase.
Reproducibility20/100
Scores 20 on reproducibility, computed from a single assessed paper (reproPapers: 1, mean 20). The assessed release, Atria Dawn, is rated low for reproducibility readiness: Evolve's review flags cherry-picking risk in its benchmark table and self-reported attribution numbers. With only one paper assessed, this score is a thin signal rather than a stable estimate.
Research summary
Jiahang Lin is a researcher at Fudan University whose recent record centers on AI agents and human-AI collaboration — the single field assigned in the OpenAlex-derived field distribution and the field of the Evolve-reviewed 2026 preprint 'Atria Dawn: The Dawn of Agentic Superintelligence'. The profile is strikingly active: 29 works in the last three years, with yearly counts of 9 (2024), 8 (2025), and 12 (2026), following a single earlier record in 2016. Collaboration is a defining trait: 77 distinct coauthors, with a recurring core including Shihan Dou, Haoxiang Jia, Shichun Liu, and Feng Chen; both catalogue papers place Lin in a middle author position, consistent with a team-embedded contributor rather than a solo lead. Topic clusters led by AI-based Problem Solving and Planning (8 hits) and Topic Modeling (6) sit beside smaller clusters in software engineering, information retrieval, and microfluidic electrophoresis, the last possibly reflecting record ambiguity. The one assessed paper scored low on reproducibility readiness (mean 20/100), with Evolve flagging cherry-picking risk in its benchmark table and self-reported attribution numbers; a second 2026 preprint on perception-centered architecture for persistent agents awaits review. Citation-based output and impact axes remain unscored pending sufficient data; the record lists h-index 6 and i10-index 4.
Collaboration pattern
With 77 distinct coauthors and a collaboration score of 87, Lin works in large, stable teams. Twelve coauthors recur — most prominently Shihan Dou, Haoxiang Jia, Shichun Liu, and Feng Chen, plus Chenhao Huang, Yujiong Shen, Shaofan Liu, Jiayi Chen, Honglin Guo, Qianyu He, Minghao Guo, and Ziyi Ye. Both catalogue papers place Lin in a middle author position, suggesting a contributing specialist role within Fudan-centered agent research groups rather than a corresponding-author lead.
Research keywords
Highlights
Atria Dawn: a model release centered on agentic superintelligence
Benchmark claims flagged for cherry-picking risk
Perception-centered architecture for persistent agents
A second 2026 preprint, 'Agents in the Large', proposes a perception-centered architecture for persistent agents, with Lin again in a middle author position. It is not yet reviewed by Evolve and currently lacks indexed keywords and a catalog entry.
Timeline
- 2016Earliest record in the OpenAlex-derived per-year counts: a single work, predating the current research phase by eight years.
- 2024Output resumes at scale: 9 works recorded, marking the start of the current active phase.
- 20258 works recorded, sustaining near-peak productivity.
- 202612 works recorded — the busiest year in the record — including both Evolve-catalogue preprints on AI 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.
- Bibliometric figures (coauthor counts, topic clusters, per-year works, recent3yWorks) come from OpenAlex-derived records; no other citation source was used.
- Output and impact axes are unscored because citation-linked data is insufficient; the listed h-index (6) and i10-index (4) should be read cautiously.
- The reproducibility score rests on a single assessed paper (reproPapers: 1), so the 20/100 reading is a thin signal, not a stable estimate.
- 'Jiahang Lin' is a common name: this profile is name-resolved from public bibliographic data, and out-of-field topic clusters such as microfluidic electrophoresis may indicate record mixing.