---
title: "cSEM (R package): papers citing this CRAN package"
description: "5 papers in the tracked journals link to cSEM (R package) in their Crossref records, the first in 2020; most of them (1) in 2026."
url: https://scholar4ai.com/code/cran-csem
markdown_url: https://scholar4ai.com/code/cran-csem.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "5 papers in the tracked journals link to cSEM (R package) in their Crossref records, the first in 2020; most of them (1) in 2026. (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)
---

# cSEM (R package): papers linking to it

Research papers in the 480 tracked journals that link to cSEM (R package) (https://CRAN.R-project.org/package=cSEM), 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=cSEM

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

## Key findings

- 5 papers in the tracked journals link to cSEM (R package) in their Crossref records, the first in 2020; most of them (1) in 2026.
- By category: Management (2), Marketing (1) and Information Systems (1); the journals with the most are Journal of Business Research (2), Journal of Marketing Analytics (1) and International Journal of Information Management (1).
- 4 of the papers build on one another: a later paper cites an earlier one that also links cSEM (R package).

## By year

*Papers linking to cSEM (R package) by publication year*

| Year | Papers |
|---|---:|
| 2020 | 1 |
| 2021 | 1 |
| 2022 | 1 |
| 2023 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to cSEM (R package) most*

| Journal | Papers |
|---|---:|
| [Journal of Business Research](https://scholar4ai.com/journals/journal-of-business-research.md) | 2 |
| [Journal of Marketing Analytics](https://scholar4ai.com/journals/journal-of-marketing-analytics.md) | 1 |
| [International Journal of Information Management](https://scholar4ai.com/journals/international-journal-of-information-management.md) | 1 |
| [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Using confirmatory composite analysis to assess emergent variables in business research](https://doi.org/10.1016/j.jbusres.2020.07.026) (Journal of Business Research, 2020)
  - [A clarification of confirmatory composite analysis (CCA)](https://doi.org/10.1016/j.ijinfomgt.2021.102399) (International Journal of Information Management, 2021) — cites the paper above
  - [Multigroup analysis of more than two groups in PLS-SEM: A review, illustration, and recommendations](https://doi.org/10.1016/j.jbusres.2022.113539) (Journal of Business Research, 2022) — cites the paper above
  - [Automated specification search for composite-based structural equation modeling: A genetic approach](https://doi.org/10.1016/j.csda.2026.108348) (Computational Statistics & Data Analysis, 2026) — cites the paper above

## Papers

*Papers linking to cSEM (R package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-12-14 | [Multigroup analysis of more than two groups in PLS-SEM: A review, illustration, and recommendations](https://doi.org/10.1016/j.jbusres.2022.113539) | [Journal of Business Research](https://scholar4ai.com/journals/journal-of-business-research.md) | Jun‐Hwa Cheah, Suzanne Amaro, José Luis Roldán | 380 | cites it |
| 2023-12-08 | [Reviewing the SmartPLS 4 software: the latest features and enhancements](https://doi.org/10.1057/s41270-023-00266-y) | [Journal of Marketing Analytics](https://scholar4ai.com/journals/journal-of-marketing-analytics.md) | Jun‐Hwa Cheah, Francesca Magno, Fabio Cassia | 240 | cites it |
| 2020-08-11 | [Using confirmatory composite analysis to assess emergent variables in business research](https://doi.org/10.1016/j.jbusres.2020.07.026) | [Journal of Business Research](https://scholar4ai.com/journals/journal-of-business-research.md) | Jörg Henseler, Florian Schuberth | 237 | cites it |
| 2021-08-09 | [A clarification of confirmatory composite analysis (CCA)](https://doi.org/10.1016/j.ijinfomgt.2021.102399) | [International Journal of Information Management](https://scholar4ai.com/journals/international-journal-of-information-management.md) | Geoffrey S. Hubona, Florian Schuberth, Jörg Henseler | 86 | cites it |
| 2026-01-29 | [Automated specification search for composite-based structural equation modeling: A genetic approach](https://doi.org/10.1016/j.csda.2026.108348) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Laura Trinchera, Gloria Pietropolli, Mauro Castelli 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). cSEM (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-csem

```bibtex
@misc{scholar4ai-code-cran-csem,
  author = {{Scholar4AI}},
  title = {cSEM (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-csem}},
  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/).