torcs: papers linking to it

SourceForge · sourceforge.net/projects/torcs/

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to torcs (https://sourceforge.net/projects/torcs/), 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#

6 papers in the tracked journals link to the SourceForge repository torcs in their Crossref records, the first in 2019; most of them (3) in 2020.
By category: AI (4) and Operations Research (2); the journals with the most are Transportation Research Part C Emerging Technologies (2), Expert Systems with Applications (1) and Applied Intelligence (1).
2 of the papers build on one another: a later paper cites an earlier one that also links torcs.

By year#

20192025

Papers linking to torcs by publication year
Year	Papers
2019	1
2020	3
2021	1
2025	1

Journals#

Journals whose papers link to torcs most
Journal	Papers
Transportation Research Part C Emerging Technologies	2
Expert Systems with Applications	1
Applied Intelligence	1
Neural Computing and Applications	1
International Journal of Computer Vision	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.

Automated vehicle’s behavior decision making using deep reinforcement learning and high-fidelity simulation environment Transportation Research Part C Emerging Technologies, 2019
- A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning Transportation Research Part C Emerging Technologies, 2021 — cites the paper above

Papers linking to torcs, most cited first
Published	Title	Journal	Authors	Citations	Link
2021-03-12	A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning	Transportation Research Part C Emerging Technologies	Xuan Sharon Di, Rongye Shi	235	cites it
2019-08-20	Automated vehicle’s behavior decision making using deep reinforcement learning and high-fidelity simulation environment	Transportation Research Part C Emerging Technologies	Yingjun Ye, Xiaohui Zhang, Jian Sun	180	cites it
2020-08-08	Deep learning and control algorithms of direct perception for autonomous driving	Applied Intelligence	Der‐Hau Lee, Kuan-Lin Chen, Kuan-Han Liou et al.	68	cites it
2025-11-08	A survey of transformer architectures for autonomous driving	Expert Systems with Applications	Fulin Chu, Haoyu Li, Lili Xie et al.	18	cites it
2020-03-14	Coping with opponents: multi-objective evolutionary neural networks for fighting games	Neural Computing and Applications	Steven Künzel, Silja Meyer-Nieberg	7	cites it
2020-08-19	GADE: A Generative Adversarial Approach to Density Estimation and its Applications	International Journal of Computer Vision	M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel et al.	6	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). torcs: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/sourceforge-torcs

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

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