dqz89: papers linking to it
← Code and data repositories cited in research papers
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.
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#
20212025
| Year | Papers |
|---|---|
| 2021 | 2 |
| 2025 | 1 |
Journals#
| Journal | Papers |
|---|---|
| Digital Finance | 2 |
| Expert Systems with Applications | 1 |
| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---|---|
| 2021-05-30 | Detecting cryptocurrency pump-and-dump frauds using market and social signals | Expert Systems with Applications | Huy Tran Nghiem, Goran Murić, Fred Morstatter et al. | 78 | cites it |
| 2021-06-01 | Profitability of cryptocurrency Pump and Dump schemes | Digital Finance | Taro Tsuchiya | 9 | cites it |
| 2025-03-01 | Detecting Pump &Dump stock market manipulation from online forums | Digital Finance | D. Nam, David B. Skillicorn | 5 | cites it |
How this is measured#
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
@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}
}