---
title: "textstat (Python package): papers citing this PyPI package"
description: "4 papers in the tracked journals link to textstat (Python package) in their Crossref records, the first in 2018; most of them (1) in 2026."
url: https://scholar4ai.com/code/pypi-textstat
markdown_url: https://scholar4ai.com/code/pypi-textstat.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to textstat (Python package) in their Crossref records, the first in 2018; most of them (1) in 2026. (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)
---

# textstat (Python package): papers linking to it

Research papers in the 480 tracked journals that link to textstat (Python package) (https://pypi.org/project/textstat/), 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.

- PyPI
- https://pypi.org/project/textstat/

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

## Key findings

- 4 papers in the tracked journals link to textstat (Python package) in their Crossref records, the first in 2018; most of them (1) in 2026.
- By category: Higher Education and Research (2), Finance (1) and Information Systems (1); the journals with the most are Scientometrics (2), The Geneva Papers on Risk and Insurance Issues and Practice (1) and Electronic Commerce Research and Applications (1).

## By year

*Papers linking to textstat (Python package) by publication year*

| Year | Papers |
|---|---:|
| 2018 | 1 |
| 2021 | 1 |
| 2025 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to textstat (Python package) most*

| Journal | Papers |
|---|---:|
| [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 2 |
| [The Geneva Papers on Risk and Insurance Issues and Practice](https://scholar4ai.com/journals/the-geneva-papers-on-risk-and-insurance-issues-and-practice.md) | 1 |
| [Electronic Commerce Research and Applications](https://scholar4ai.com/journals/electronic-commerce-research-and-applications.md) | 1 |

## Papers

*Papers linking to textstat (Python package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-03-31 | [Using a hybrid content-based and behaviour-based featuring approach in a parallel environment to detect fake reviews](https://doi.org/10.1016/j.elerap.2021.101048) | [Electronic Commerce Research and Applications](https://scholar4ai.com/journals/electronic-commerce-research-and-applications.md) | Gregorius Satia Budhi, Raymond Chiong, Zuli Wang et al. | 49 | cites it |
| 2018-07-04 | [Citance-based retrieval and summarization using IR and machine learning](https://doi.org/10.1007/s11192-018-2785-8) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Samaneh Karimi, Luis F. T. Moraes, Avisha Das et al. | 13 | cites it |
| 2025-09-07 | [Dynamic optimization of peer review length using information density analysis](https://doi.org/10.1007/s11192-025-05416-w) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Prabhat Kumar Bharti, Tirath Bhathawala | 0 | cites it |
| 2026-07-22 | [Cyber risk reporting in German listed enterprises: a textual analysis of disclosure informativeness](https://doi.org/10.1057/s41288-026-00390-7) | [The Geneva Papers on Risk and Insurance Issues and Practice](https://scholar4ai.com/journals/the-geneva-papers-on-risk-and-insurance-issues-and-practice.md) | Alina Salzberger, Felix Hausruckinger | 0 | 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). textstat (Python package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/pypi-textstat

```bibtex
@misc{scholar4ai-code-pypi-textstat,
  author = {{Scholar4AI}},
  title = {textstat (Python package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/pypi-textstat}},
  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/).