---
title: "cntext: a Python tool for text mining: papers citing it"
description: "3 papers in the tracked journals link to the Zenodo dataset cntext: a Python tool for text mining in their Crossref records, the first in 2024; most of them (2) in 2024."
url: https://scholar4ai.com/code/zenodo-7063523
markdown_url: https://scholar4ai.com/code/zenodo-7063523.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 Zenodo dataset cntext: a Python tool for text mining in their Crossref records, the first in 2024; most of them (2) 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)
---

# cntext: a Python tool for text mining: papers linking to it

Research papers in the 480 tracked journals that link to cntext: a Python tool for text mining (https://doi.org/10.5281/zenodo.7063523), 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.

- Zenodo
- Software
- 2022
- archives github.com/hidadeng/cntext
- https://doi.org/10.5281/zenodo.7063523

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

## Key findings

- 3 papers in the tracked journals link to the Zenodo dataset cntext: a Python tool for text mining in their Crossref records, the first in 2024; most of them (2) in 2024.
- By category: Finance (2) and AI (1); the journals with the most are Finance research letters (1), Research in International Business and Finance (1) and Information Processing & Management (1).
- It is a Zenodo archive of hidadeng/cntext, which other papers here link to as well.

## By year

*Papers linking to cntext: a Python tool for text mining by publication year*

| Year | Papers |
|---|---:|
| 2024 | 2 |
| 2025 | 1 |

## Journals

*Journals whose papers link to cntext: a Python tool for text mining most*

| Journal | Papers |
|---|---:|
| [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | 1 |
| [Research in International Business and Finance](https://scholar4ai.com/journals/research-in-international-business-and-finance.md) | 1 |
| [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | 1 |

## Related repositories

*Linked repositories cntext: a Python tool for text mining derives from or that derive from it*

| Repository | Relation | Papers |
|---|---|---:|
| [hidadeng/cntext](https://github.com/hidadeng/cntext) | cntext: a Python tool for text mining is its Zenodo archive | 1 |

## Papers

*Papers linking to cntext: a Python tool for text mining, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2024-01-10 | [Annual report readability and trade credit financing: Evidence from China](https://doi.org/10.1016/j.ribaf.2024.102220) | [Research in International Business and Finance](https://scholar4ai.com/journals/research-in-international-business-and-finance.md) | Hong-Quan Li, Yang Yang, Feng-Wan Xue et al. | 38 | cites it |
| 2025-06-21 | [How can users effectively locate helpful non-interactive health information in online health communities?](https://doi.org/10.1016/j.ipm.2025.104271) | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | Peng Ouyang, Min Yao, Jiaming Liu | 8 | cites it |
| 2024-03-01 | [Can the readability of an annual report forecast negative earnings surprises?](https://doi.org/10.1016/j.frl.2024.105191) | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | Hong-Quan Li, Yang Yang | 5 | 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). cntext: a Python tool for text mining: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-7063523

```bibtex
@misc{scholar4ai-code-zenodo-7063523,
  author = {{Scholar4AI}},
  title = {cntext: a Python tool for text mining: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-7063523}},
  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/).