Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

vdorie/npci: papers linking to it

GitHub · 52 stars · 16 forks · R · created 2015 · github.com/vdorie/npci

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to vdorie/npci (https://github.com/vdorie/npci), 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.

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Key findings#

  • 4 papers in the tracked journals link to the GitHub repository vdorie/npci in their Crossref records, the first in 2021; most of them (1) in 2026.
  • By category: AI (4); the journals with the most are Neural Computing and Applications (2), Machine Learning (1) and Data Mining and Knowledge Discovery (1).
  • 2 of the papers build on one another: a later paper cites an earlier one that also links vdorie/npci.

By year#

2021: 1 paper2024: 1 paper2025: 1 paper2026: 1 paper
20212026
Papers linking to vdorie/npci by publication year
YearPapers
20211
20241
20251
20261

Journals#

Journals whose papers link to vdorie/npci most
JournalPapers
Neural Computing and Applications2
Machine Learning1
Data Mining and Knowledge Discovery1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Papers linking to vdorie/npci, most cited first
PublishedTitleJournalAuthorsCitationsLink
2021-05-17Adversarial balancing-based representation learning for causal effect inference with observational dataData Mining and Knowledge DiscoveryXin Du, Lei Sun, Wouter Duivesteijn et al.26cites it
2024-02-23Mutual information-based neighbor selection method for causal effect estimationNeural Computing and ApplicationsNiki Kiriakidou, Ioannis E. Livieris, Panagiotis Pintelas16cites it
2025-07-22Federated causal inference from observational dataMachine LearningThanh Vinh Vo, Young Lee, Tze-Yun Leong3cites it
2026-05-28C-XGBoost model with targeted regularization for treatment effect estimationNeural Computing and ApplicationsNiki Kiriakidou, Ioannis E. Livieris, Christos Diou"1cites 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). vdorie/npci: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-vdorie-npci

@misc{scholar4ai-code-github-vdorie-npci,
  author = {{Scholar4AI}},
  title = {vdorie/npci: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-vdorie-npci}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).