---
title: "dqz89: papers citing this dataset"
description: "3 papers in the tracked journals link to the OSF dataset dqz89 in their Crossref records, the first in 2021; most of them (2) in 2021."
url: https://scholar4ai.com/code/osf-dqz89
markdown_url: https://scholar4ai.com/code/osf-dqz89.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 OSF dataset dqz89 in their Crossref records, the first in 2021; most of them (2) in 2021. (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)
---

# dqz89: papers linking to it

Research papers in the 480 tracked journals that link to dqz89 (https://osf.io/dqz89/), 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.

- OSF
- https://osf.io/dqz89/

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

## Key findings

- 3 papers in the tracked journals link to the OSF dataset dqz89 in their Crossref records, the first in 2021; most of them (2) in 2021.
- By category: Finance (2) and AI (1); the journals with the most are Digital Finance (2) and Expert Systems with Applications (1).

## By year

*Papers linking to dqz89 by publication year*

| Year | Papers |
|---|---:|
| 2021 | 2 |
| 2025 | 1 |

## Journals

*Journals whose papers link to dqz89 most*

| Journal | Papers |
|---|---:|
| [Digital Finance](https://scholar4ai.com/journals/digital-finance.md) | 2 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |

## Papers

*Papers linking to dqz89, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-05-30 | [Detecting cryptocurrency pump-and-dump frauds using market and social signals](https://doi.org/10.1016/j.eswa.2021.115284) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Huy Tran Nghiem, Goran Murić, Fred Morstatter et al. | 78 | cites it |
| 2021-06-01 | [Profitability of cryptocurrency Pump and Dump schemes](https://doi.org/10.1007/s42521-021-00034-6) | [Digital Finance](https://scholar4ai.com/journals/digital-finance.md) | Taro Tsuchiya | 9 | cites it |
| 2025-03-01 | [Detecting Pump &Dump stock market manipulation from online forums](https://doi.org/10.1007/s42521-024-00121-4) | [Digital Finance](https://scholar4ai.com/journals/digital-finance.md) | D. Nam, David B. Skillicorn | 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). dqz89: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/osf-dqz89

```bibtex
@misc{scholar4ai-code-osf-dqz89,
  author = {{Scholar4AI}},
  title = {dqz89: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/osf-dqz89}},
  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/).