udacity/self-driving-car: papers linking to it

GitHub · 6,318 stars · 2,098 forks · Jupyter Notebook · created 2016 · archived · github.com/udacity/self-driving-car

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to udacity/self-driving-car (https://github.com/udacity/self-driving-car), 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 GitHub repository udacity/self-driving-car in their Crossref records, the first in 2022; most of them (2) in 2025.
By category: AI (3); the journals with the most are Applied Intelligence (1), Neural Computing and Applications (1) and Expert Systems with Applications (1).

By year#

20222025

Papers linking to udacity/self-driving-car by publication year
Year	Papers
2022	1
2025	2

Journals#

Journals whose papers link to udacity/self-driving-car most
Journal	Papers
Applied Intelligence	1
Neural Computing and Applications	1
Expert Systems with Applications	1

Papers linking to udacity/self-driving-car, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-02-03	Adaptive precision layering for efficient adversarial training of deep learning models in intelligent vehicles	Expert Systems with Applications	Manzoor Hussain, Zhengyu Shang, Jang‐Eui Hong	9	cites it
2022-11-28	DeepMC: DNN test sample optimization method jointly guided by misclassification and coverage	Applied Intelligence	Jiaze Sun, Juan Li, Sulei Wen	3	cites it
2025-01-23	Metamorphic testing of deep neural network-based autonomous driving systems using behavioural domain adequacy	Neural Computing and Applications	Akram Kalaee, Saeed Alipour Parsa	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). udacity/self-driving-car: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-udacity-self-driving-car

@misc{scholar4ai-code-github-udacity-self-driving-car,
  author = {{Scholar4AI}},
  title = {udacity/self-driving-car: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-udacity-self-driving-car}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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