Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

ruiqurm/lianjia: papers linking to it

Kaggle · www.kaggle.com/datasets/ruiqurm/lianjia

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to ruiqurm/lianjia (https://www.kaggle.com/datasets/ruiqurm/lianjia), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

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Key findings#

  • 3 papers in the tracked journals link to the Kaggle dataset ruiqurm/lianjia in their Crossref records, the first in 2021; most of them (1) in 2024.
  • By category: AI (2) and Statistics (1); the journals with the most are Computational Statistics (1), Machine Learning (1) and Data Mining and Knowledge Discovery (1).

By year#

2021: 1 paper2022: 1 paper2024: 1 paper
20212024
Papers linking to ruiqurm/lianjia by publication year
YearPapers
20211
20221
20241

Journals#

Journals whose papers link to ruiqurm/lianjia most
JournalPapers
Computational Statistics1
Machine Learning1
Data Mining and Knowledge Discovery1
Papers linking to ruiqurm/lianjia, most cited first
PublishedTitleJournalAuthorsCitationsLink
2022-09-30Decision tree boosted varying coefficient modelsData Mining and Knowledge DiscoveryYichen Zhou, Giles Hooker15cites it
2024-08-05A generic approach for reproducible model distillationMachine LearningYunzhe Zhou, Peiru Xu, Giles Hooker6cites it
2021-03-12Reduced-bias estimation of spatial autoregressive models with incompletely geocoded dataComputational StatisticsFlavio Santi, Maria Michela Dickson, Diego Giuliani et al.4cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). ruiqurm/lianjia: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-ruiqurm-lianjia

@misc{scholar4ai-code-kaggle-ruiqurm-lianjia,
  author = {{Scholar4AI}},
  title = {ruiqurm/lianjia: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-ruiqurm-lianjia}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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