state-farm-distracted-driver-detection: papers linking to it

Kaggle · www.kaggle.com/competitions/state-farm-distracted-driver-detection

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to state-farm-distracted-driver-detection (https://www.kaggle.com/competitions/state-farm-distracted-driver-detection), 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#

5 papers in the tracked journals link to the Kaggle dataset state-farm-distracted-driver-detection in their Crossref records, the first in 2020; most of them (2) in 2025.
By category: AI (5); the journals with the most are Expert Systems with Applications (2), Neural Computing and Applications (2) and Knowledge and Information Systems (1).
2 of the papers build on one another: a later paper cites an earlier one that also links state-farm-distracted-driver-detection.

By year#

20202025

Papers linking to state-farm-distracted-driver-detection by publication year
Year	Papers
2020	1
2022	2
2025	2

Journals#

Journals whose papers link to state-farm-distracted-driver-detection most
Journal	Papers
Expert Systems with Applications	2
Neural Computing and Applications	2
Knowledge and Information Systems	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

A deep learning-based driver distraction identification framework over edge cloud Neural Computing and Applications, 2020
- Cell phone usage detection in roadway images: from plate recognition to violation classification Neural Computing and Applications, 2022 — cites the paper above

Papers linking to state-farm-distracted-driver-detection, most cited first
Published	Title	Journal	Authors	Citations	Link
2020-09-14	A deep learning-based driver distraction identification framework over edge cloud	Neural Computing and Applications	Abdu Gumaei, Mabrook S. Al-Rakhami, Mohammad Mehedi Hassan et al.	47	cites it
2022-06-16	Driver’s mobile phone usage detection using guided learning based on attention features and prior knowledge	Expert Systems with Applications	Tao Huang, Rui Fu, Qinyu Sun	8	cites it
2025-05-27	A comprehensive review of on-board action recognition models in public transportation systems	Expert Systems with Applications	Cyril Meurie, Olivier Lézoray	7	cites it
2022-10-27	Cell phone usage detection in roadway images: from plate recognition to violation classification	Neural Computing and Applications	Amal Balabid, Areej Altaban, Maram Albsisi et al.	2	cites it
2025-03-10	Optimal feature tuning model by variants of convolutional neural network with LSTM for driver distract detection in IoT platform	Knowledge and Information Systems	Hameed Mutlag Farhan, Ayça Kurnaz Türkben, Raghda Awad Shaban Naseri	2	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). state-farm-distracted-driver-detection: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-competition-state-farm-distracted-driver-detection

@misc{scholar4ai-code-kaggle-competition-state-farm-distracted-driver-detection,
  author = {{Scholar4AI}},
  title = {state-farm-distracted-driver-detection: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-competition-state-farm-distracted-driver-detection}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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