--- title: "vip (R package): papers citing this CRAN package" description: "7 papers in the tracked journals link to vip (R package) in their Crossref records, the first in 2023; most of them (3) in 2025." url: https://scholar4ai.com/code/cran-vip markdown_url: https://scholar4ai.com/code/cran-vip.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "7 papers in the tracked journals link to vip (R package) in their Crossref records, the first in 2023; most of them (3) in 2025. (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) --- # vip (R package): papers linking to it Research papers in the 480 tracked journals that link to vip (R package) (https://CRAN.R-project.org/package=vip), 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. - CRAN - https://CRAN.R-project.org/package=vip All repositories: https://scholar4ai.com/code.md ## Key findings - 7 papers in the tracked journals link to vip (R package) in their Crossref records, the first in 2023; most of them (3) in 2025. - By category: AI (5), Information Systems (1) and Finance (1); the journals with the most are Business & Information Systems Engineering (1), Expert Systems with Applications (1) and Neural Computing and Applications (1). ## By year *Papers linking to vip (R package) by publication year* | Year | Papers | |---|---:| | 2023 | 3 | | 2024 | 1 | | 2025 | 3 | ## Journals *Journals whose papers link to vip (R package) most* | Journal | Papers | |---|---:| | [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | 1 | | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 | | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 | | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 1 | | [European Actuarial Journal](https://scholar4ai.com/journals/european-actuarial-journal.md) | 1 | ## Papers *Papers linking to vip (R package), most cited first* | Published | Title | Journal | Authors | Citations | Link | |---|---|---|---|---:|---| | 2023-07-27 | [Explaining machine learning models with interactive natural language conversations using TalkToModel](https://doi.org/10.1038/s42256-023-00692-8) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju et al. | 125 | cites it | | 2023-02-23 | [A data mining framework for reporting trends in the predictive contribution of factors related to educational achievement](https://doi.org/10.1016/j.eswa.2023.119729) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Rogério Luiz Cardoso Silva Filho, Kellyton dos Santos Brito, Paulo J. L. Adeodato | 18 | cites it | | 2023-11-01 | [Detection of interacting variables for generalized linear models via neural networks](https://doi.org/10.1007/s13385-023-00362-4) | [European Actuarial Journal](https://scholar4ai.com/journals/european-actuarial-journal.md) | Yevhen Havrylenko, Julia Heger | 5 | cites it | | 2025-11-04 | [ChronoSHAP: Revealing temporal patterns from transformers and LTSF-linear models in time series forecasting](https://doi.org/10.1016/j.knosys.2025.114802) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Alberto Miño Calero, Adil Rasheed, Anastasios M. Lekkas | 5 | cites it | | 2024-12-13 | [Analyzing feature importance with neural-network-derived trees](https://doi.org/10.1007/s00521-024-10811-0) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Ernesto Vieira-Manzanera, Miguel Angel Patricio, Antonio Berlanga et al. | 3 | cites it | | 2025-05-30 | [Context-Based Subvariant Discovery for Process Mining via Machine Learning](https://doi.org/10.1007/s12599-025-00946-2) | [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | Fabian Gwinner, Myriam Schaschek, Axel Winkelmann | 2 | cites it | | 2025-05-05 | [Numerical dependency analysis (NDA): a new method for estimating the statistical dependence (not correlation) of two variables](https://doi.org/10.1007/s10115-025-02436-z) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Abolfazl Zanghaei, Hassan Doosti, Ali Ameri et al. | 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). vip (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-vip ```bibtex @misc{scholar4ai-code-cran-vip, author = {{Scholar4AI}}, title = {vip (R package): papers linking to it}, year = {2026}, howpublished = {\url{https://scholar4ai.com/code/cran-vip}}, 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/).