Researcher spanning agricultural computer vision and AI agent infrastructure; two reviewed 2026 arXiv papers.
2
papers here
1
reviewed by Evolve
0
first-author
0
corresponding
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works · OpenAlex
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h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-09-28) 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 reliable publication-volume data is attached to this profile, so the output axis is unscored. Once the record is resolved, this axis would measure cumulative paper counts, venue distribution, and authorship positions across the indexed publication history.
Impact—
Citation-based measures are not available for this record, so impact is unscored. The axis would normally aggregate citation counts, h-index-style indicators, and venue-level influence to show how widely the work has been taken up.
Focus100/100
Focus scores a perfect 100/100, computed from an OpenAlex field distribution that lists a single field: computer networks and distributed systems (AI agent infrastructure). The Evolve catalog itself shows two adjacent threads — agricultural plant counting and agent trust discovery — both pursued with compact engineering solutions, so the concentration reads as deliberate, application-driven work rather than scattered exploration. One indexed field and a tight methodological style underpin the top score.
Collaboration48/100
Collaboration scores 48/100 against a pool of 10 distinct co-authors; the frequent-coauthor list names Song Zhang, Jiankang Yao, Hongtao Li, Xiaojun Zhang, Xugang Shen, Yanbiao Li, Shengjie Guo, Borjana Arsova, Hanno Scharr, and Silvio Salvi. In both reviewed 2026 papers Xin Li sits in a middle authorship position without corresponding-author role, consistent with a mid-size, shared-credit collaboration style rather than lone or leading work.
Activity—
Temporal publication-frequency data is not available for this record, so activity is unscored. Once populated, the axis would measure output cadence over recent years — papers per year, submission recency, and sustained research tempo.
Reproducibility20/100
Reproducibility scores 20/100, a mean taken over a single scored paper (reproPapers = 1), so the number rests on a thin base. Of the two reviewed papers, AgriCountDINO carries medium reproducibility readiness — a compact 8.4M-parameter model on a named benchmark (TPC-268) with reported baselines — while the Internet-of-Agents trust architecture is rated low, with a fast prototype but no baselines and only qualitative security analysis.
Research summary
Xin Li is an early-stage researcher whose profile is name-resolved from public bibliographic data; no ORCID, institution, or country is attached. The Evolve catalog reviewed two 2026 arXiv papers on which Xin Li appears as a middle author. The first, AgriCountDINO, contributes a parameter-efficient exemplar-guided counting and localization model for agricultural imagery: an 8.4M-parameter DINOv3-based design that outperforms TasselNetV4 on the TPC-268 validation split while LOCA leads on the test split — a promising result on evidence the reviewers judged uneven. The second proposes a scalable trust-discovery architecture for the Internet of Agents: a DNS-inspired Root-Registry-Resolver design with dual-certificate PKI and mTLS, demonstrated with a fast prototype but no baselines and only qualitative security analysis. Radar dimensions give focus 100/100 (a single indexed field), collaboration 48/100 across 10 distinct co-authors, and reproducibility 20/100 averaged over one scored paper; the two catalog papers carry medium and low reproducibility readiness respectively. Output, impact, and activity remain unscored for lack of data, so this should be read as an early-stage, name-resolved profile.
Collaboration pattern
Xin Li's indexed network covers 10 distinct co-authors; the frequent-coauthor list includes Song Zhang, Jiankang Yao, Hongtao Li, Xiaojun Zhang, Xugang Shen, Yanbiao Li, Shengjie Guo, Borjana Arsova, Hanno Scharr, and Silvio Salvi. A collaboration score of 48/100 and middle, non-corresponding authorship on both reviewed papers point to a contributor role within medium-sized teams rather than leading an independent group.
Research keywords
Highlights
AgriCountDINO: compact exemplar-guided plant counting and localization
DNS-style trust discovery for the Internet of Agents
Timeline
- 2026Co-authored AgriCountDINO, a parameter-efficient exemplar-guided counting and point-localization model for agricultural imagery (arXiv, middle author).
- 2026Co-authored a scalable trust discovery architecture for the Internet of Agents, a DNS-inspired design with dual-certificate PKI and mTLS (arXiv, middle author).
- 2026Collaboration footprint spans 10 distinct co-authors across both 2026 arXiv papers, with neither paper in a corresponding-author role.
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.
- Name-resolved profile: 'Xin Li' is a very common name; identity is matched from public bibliographic data and the two reviewed arXiv papers, with no ORCID, institution, or country attached.
- All bibliometric scores (collaboration 48, focus 100, reproducibility 20) are computed from OpenAlex-indexed data only.
- Output, impact, and activity axes are unscored because the underlying citation and publication-volume data is missing from the current snapshot.
- The reproducibility mean rests on a single scored paper, and qualitative verdicts come from only two Evolve-reviewed arXiv papers, both from 2026.