--- title: "ldatuning (R package): papers citing this CRAN package" description: "8 papers in the tracked journals link to ldatuning (R package) in their Crossref records, the first in 2017; most of them (3) in 2023." url: https://scholar4ai.com/code/cran-ldatuning markdown_url: https://scholar4ai.com/code/cran-ldatuning.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "8 papers in the tracked journals link to ldatuning (R package) in their Crossref records, the first in 2017; most of them (3) in 2023. (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) --- # ldatuning (R package): papers linking to it Research papers in the 480 tracked journals that link to ldatuning (R package) (https://CRAN.R-project.org/package=ldatuning), 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=ldatuning All repositories: https://scholar4ai.com/code.md ## Key findings - 8 papers in the tracked journals link to ldatuning (R package) in their Crossref records, the first in 2017; most of them (3) in 2023. - By category: Management (2), Marketing (1) and Higher Education and Research (1); the journals with the most are Journal of Business Ethics (1), Journal of Marketing Analytics (1) and Scientometrics (1). ## By year *Papers linking to ldatuning (R package) by publication year* | Year | Papers | |---|---:| | 2017 | 1 | | 2018 | 1 | | 2021 | 1 | | 2022 | 1 | | 2023 | 3 | | 2024 | 1 | ## Journals *Journals whose papers link to ldatuning (R package) most* | Journal | Papers | |---|---:| | [Journal of Business Ethics](https://scholar4ai.com/journals/journal-of-business-ethics.md) | 1 | | [Journal of Marketing Analytics](https://scholar4ai.com/journals/journal-of-marketing-analytics.md) | 1 | | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 1 | | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | 1 | | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 | ## Papers *Papers linking to ldatuning (R package), most cited first* | Published | Title | Journal | Authors | Citations | Link | |---|---|---|---|---:|---| | 2023-03-17 | [Crypto Tokens and Token Systems](https://doi.org/10.1007/s10796-023-10382-w) | [Information Systems Frontiers](https://scholar4ai.com/journals/information-systems-frontiers.md) | Jan Schwiderowski, Asger Balle Pedersen, Roman Beck | 49 | cites it | | 2017-11-03 | [Where technology transfer research originated and where it is going: a quantitative analysis of literature published between 1980 and 2015](https://doi.org/10.1007/s10961-017-9634-4) | [The Journal of Technology Transfer](https://scholar4ai.com/journals/the-journal-of-technology-transfer.md) | Heeyong Noh, Sungjoo Lee | 48 | cites it | | 2018-11-02 | [Bayesian LDA for mixed-membership clustering analysis: The Rlda package](https://doi.org/10.1016/j.knosys.2018.10.024) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Pedro Henrique Melo Albuquerque, Denis Ribeiro do Valle, Daijiang Li | 17 | cites it | | 2021-07-28 | [Multi-criteria decision-making leveraged by text analytics and interviews with strategists](https://doi.org/10.1057/s41270-021-00125-8) | [Journal of Marketing Analytics](https://scholar4ai.com/journals/journal-of-marketing-analytics.md) | Jorge Iván Pérez Rave, Patricia Jaramillo, Juan Carlos Correa Morales | 9 | cites it | | 2022-02-21 | [Selecting the appropriate leading journal in Hospitality and Tourism research: a guide based on the topic-journal fit and the JCR impact factor](https://doi.org/10.1007/s11192-022-04288-8) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Ramón Barrera Barrera | 9 | cites it | | 2023-05-15 | [Variational Bayes estimation of hierarchical Dirichlet-multinomial mixtures for text clustering](https://doi.org/10.1007/s00180-023-01350-8) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Massimo Bilancia, Michele Di Nanni, Fabio Manca et al. | 8 | cites it | | 2024-01-29 | [Understanding the expectations of parents regarding their children's school commuting by public transport using latent Dirichlet Allocation](https://doi.org/10.1016/j.tra.2024.103986) | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | Mariza Motta Queiroz, Carlos de Almeida Roque, Filipe Moura et al. | 6 | cites it | | 2023-04-12 | [A Symbolic Framing of Exploitative Firms: Evidence from Japan](https://doi.org/10.1007/s10551-023-05404-1) | [Journal of Business Ethics](https://scholar4ai.com/journals/journal-of-business-ethics.md) | Jungwon Min | 5 | 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). ldatuning (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-ldatuning ```bibtex @misc{scholar4ai-code-cran-ldatuning, author = {{Scholar4AI}}, title = {ldatuning (R package): papers linking to it}, year = {2026}, howpublished = {\url{https://scholar4ai.com/code/cran-ldatuning}}, 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/).