most citedDeep learning-based astronomical multimodal data fusion: A comprehensive review

4 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2026

FacilityAudit-Agent: Beyond Mention-as-Usage for Fine-Grained Facility Contribution Attribution in Astrophysics Publications

Wujun Shao, Dongwei Fan, Daoqi Peng +4

Observatory bibliographies increasingly need to determine not only whether a facility is named in a paper, but how its data support the scientific argument. We frame this need as s…

astro-ph.IM2026

M-EPDet: Real-Time Real-Bogus Classification and Transient Candidate Judgement for the EP-WXT Pipeline via Multi-Modal Data

Lang Chen, Yunfei Xu, Zhen Zhang +8

The Wide-field X-ray Telescope (WXT) onboard the Einstein Probe (EP) produces a large post-detection candidate stream in which genuine astrophysical sources coexist with instrument…

astro-ph.GA2026

A Value-added Physical Properties Catalog for Low-redshift Galaxies from DESI Legacy Imaging Surveys DR10

Shirui Wei, Changhua Li, Yanxia Zhang +6

Galaxy physical properties-such as star formation rate (SFR), stellar mass, and gas-phase metallicity-are essential for population studies and evolutionary analyses. Deriving these…

astro-ph.IM2026★ 4 cited

Deep learning-based astronomical multimodal data fusion: A comprehensive review

Wujun Shao, Dongwei Fan, Chenzhou Cui +3

With the rapid advancements in observational technologies and the widespread implementation of large-scale sky surveys, diverse electromagnetic wave data (e.g., optical and infrare…

astro-ph.IM2023★ 1 cited

Astronomical Knowledge Entity Extraction in Astrophysics Journal Articles via Large Language Models

Wujun Shao, Pengli Ji, Dongwei Fan +6

Astronomical knowledge entities, such as celestial object identifiers, are crucial for literature retrieval and knowledge graph construction, and other research and applications in…