---
title: "vOptSolver/vOptLib: papers citing this GitHub repository"
description: "3 papers in the tracked journals link to the GitHub repository vOptSolver/vOptLib in their Crossref records, the first in 2018; most of them (1) in 2022."
url: https://scholar4ai.com/code/github-voptsolver-voptlib
markdown_url: https://scholar4ai.com/code/github-voptsolver-voptlib.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to the GitHub repository vOptSolver/vOptLib in their Crossref records, the first in 2018; most of them (1) 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)
---

# vOptSolver/vOptLib: papers linking to it

Research papers in the 480 tracked journals that link to vOptSolver/vOptLib (https://github.com/vOptSolver/vOptLib), 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
- 7 stars
- 4 forks
- license MIT
- created 2017
- https://github.com/vOptSolver/vOptLib

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

## Key findings

- 3 papers in the tracked journals link to the GitHub repository vOptSolver/vOptLib in their Crossref records, the first in 2018; most of them (1) in 2022.
- By category: Operations Research (3); the journals with the most are Computational Optimization and Applications (1), Journal of Combinatorial Optimization (1) and Optimization Letters (1).
- 3 of the papers build on one another: a later paper cites an earlier one that also links vOptSolver/vOptLib.

## By year

*Papers linking to vOptSolver/vOptLib by publication year*

| Year | Papers |
|---|---:|
| 2018 | 1 |
| 2021 | 1 |
| 2022 | 1 |

## Journals

*Journals whose papers link to vOptSolver/vOptLib most*

| Journal | Papers |
|---|---:|
| [Computational Optimization and Applications](https://scholar4ai.com/journals/computational-optimization-and-applications.md) | 1 |
| [Journal of Combinatorial Optimization](https://scholar4ai.com/journals/journal-of-combinatorial-optimization.md) | 1 |
| [Optimization Letters](https://scholar4ai.com/journals/optimization-letters.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [A tolerance function for the multiobjective set covering problem](https://doi.org/10.1007/s11590-018-1267-5) (Optimization Letters, 2018)
  - [Advancing local search approximations for multiobjective combinatorial optimization problems](https://doi.org/10.1007/s10878-021-00795-1) (Journal of Combinatorial Optimization, 2021) — cites the paper above
  - [Design of a heuristic algorithm for the generalized multi-objective set covering problem](https://doi.org/10.1007/s10589-022-00379-7) (Computational Optimization and Applications, 2022) — cites the paper above

## Papers

*Papers linking to vOptSolver/vOptLib, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2018-05-03 | [A tolerance function for the multiobjective set covering problem](https://doi.org/10.1007/s11590-018-1267-5) | [Optimization Letters](https://scholar4ai.com/journals/optimization-letters.md) | Lakmali P. Weerasena, Margaret M. Wiecek | 11 | cites it |
| 2022-06-09 | [Design of a heuristic algorithm for the generalized multi-objective set covering problem](https://doi.org/10.1007/s10589-022-00379-7) | [Computational Optimization and Applications](https://scholar4ai.com/journals/computational-optimization-and-applications.md) | Lakmali P. Weerasena, Aniekan A. Ebiefung, Anthony Skjellum Y | 4 | cites it |
| 2021-08-18 | [Advancing local search approximations for multiobjective combinatorial optimization problems](https://doi.org/10.1007/s10878-021-00795-1) | [Journal of Combinatorial Optimization](https://scholar4ai.com/journals/journal-of-combinatorial-optimization.md) | Lakmali P. Weerasena | 3 | 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). vOptSolver/vOptLib: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-voptsolver-voptlib

```bibtex
@misc{scholar4ai-code-github-voptsolver-voptlib,
  author = {{Scholar4AI}},
  title = {vOptSolver/vOptLib: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-voptsolver-voptlib}},
  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/).