---
title: "Farama-Foundation/HighwayEnv: papers citing it"
description: "6 papers in the tracked journals link to the GitHub repository Farama-Foundation/HighwayEnv in their Crossref records, the first in 2022; most of them (3) in 2022."
url: https://scholar4ai.com/code/github-farama-foundation-highwayenv
markdown_url: https://scholar4ai.com/code/github-farama-foundation-highwayenv.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "6 papers in the tracked journals link to the GitHub repository Farama-Foundation/HighwayEnv in their Crossref records, the first in 2022; most of them (3) in 2022. (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)
---

# Farama-Foundation/HighwayEnv: papers linking to it

Research papers in the 480 tracked journals that link to Farama-Foundation/HighwayEnv (https://github.com/Farama-Foundation/HighwayEnv), 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.

- GitHub
- 3,341 stars
- 905 forks
- Python
- license MIT
- created 2017
- https://github.com/Farama-Foundation/HighwayEnv

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

## Key findings

- 6 papers in the tracked journals link to the GitHub repository Farama-Foundation/HighwayEnv in their Crossref records, the first in 2022; most of them (3) in 2022.
- By category: AI (4) and Operations Research (2); the journals with the most are Neural Computing and Applications (2), Transportation Research Part C Emerging Technologies (2) and Neural Networks (1).

## By year

*Papers linking to Farama-Foundation/HighwayEnv by publication year*

| Year | Papers |
|---|---:|
| 2022 | 3 |
| 2025 | 2 |
| 2026 | 1 |

## Journals

*Journals whose papers link to Farama-Foundation/HighwayEnv most*

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 2 |
| [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 1 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 1 |

## Papers

*Papers linking to Farama-Foundation/HighwayEnv, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-05-10 | [Decision making for autonomous vehicles in highway scenarios using Harmonic SK Deep SARSA](https://doi.org/10.1007/s10489-022-03357-y) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Mohamed Saber Rais, Rachid Boudour, Khouloud Zouaidia et al. | 16 | cites it |
| 2025-10-25 | [From black-box to white-box: Interpretable deep reinforcement learning with Kolmogorov-Arnold networks for autonomous driving](https://doi.org/10.1016/j.trc.2025.105386) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | Jiakun Huang, Rongliang Zhou, Mingjun Li et al. | 15 | cites it |
| 2022-05-30 | [Coupling algebraic topology theory, formal methods and safety requirements toward a new coverage metric for artificial intelligence models](https://doi.org/10.1007/s00521-022-07363-6) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Faouzi Adjed, Mallek Mziou-Sallami, Frédéric Pelliccia et al. | 8 | cites it |
| 2022-05-02 | [Enhanced decision making in multi-scenarios for autonomous vehicles using alternative bidirectional Q network](https://doi.org/10.1007/s00521-022-07278-2) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Mohamed Saber Rais, Khouloud Zouaidia, Rachid Boudour | 7 | cites it |
| 2026-01-12 | [Large language model guided deep reinforcement learning for safe autonomous vehicle decision making](https://doi.org/10.1016/j.trc.2025.105511) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | Hao Pang, Zhenpo Wang, Guoqiang Li | 5 | cites it |
| 2025-09-11 | [Weakly supervised multi-modal imitation learning from incompletely labeled demonstrations](https://doi.org/10.1016/j.neunet.2025.108098) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Sijia Gu, Fei Zhu | 0 | 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). Farama-Foundation/HighwayEnv: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-farama-foundation-highwayenv

```bibtex
@misc{scholar4ai-code-github-farama-foundation-highwayenv,
  author = {{Scholar4AI}},
  title = {Farama-Foundation/HighwayEnv: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-farama-foundation-highwayenv}},
  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/).