---
title: "ruiqurm/lianjia: papers citing this dataset"
description: "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."
url: https://scholar4ai.com/code/kaggle-ruiqurm-lianjia
markdown_url: https://scholar4ai.com/code/kaggle-ruiqurm-lianjia.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# ruiqurm/lianjia: papers linking to it

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.

- Kaggle
- https://www.kaggle.com/datasets/ruiqurm/lianjia

All repositories: https://scholar4ai.com/code.md

## 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

*Papers linking to ruiqurm/lianjia by publication year*

| Year | Papers |
|---|---:|
| 2021 | 1 |
| 2022 | 1 |
| 2024 | 1 |

## Journals

*Journals whose papers link to ruiqurm/lianjia most*

| Journal | Papers |
|---|---:|
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 1 |
| [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 1 |

## Papers

*Papers linking to ruiqurm/lianjia, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-09-30 | [Decision tree boosted varying coefficient models](https://doi.org/10.1007/s10618-022-00863-y) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Yichen Zhou, Giles Hooker | 15 | cites it |
| 2024-08-05 | [A generic approach for reproducible model distillation](https://doi.org/10.1007/s10994-024-06597-w) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Yunzhe Zhou, Peiru Xu, Giles Hooker | 6 | cites it |
| 2021-03-12 | [Reduced-bias estimation of spatial autoregressive models with incompletely geocoded data](https://doi.org/10.1007/s00180-021-01090-7) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Flavio Santi, Maria Michela Dickson, Diego Giuliani et al. | 4 | cites 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).