balraj98/cvcclinicdb: papers linking to it

Kaggle · www.kaggle.com/datasets/balraj98/cvcclinicdb

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to balraj98/cvcclinicdb (https://www.kaggle.com/datasets/balraj98/cvcclinicdb), 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.

Key findings#

4 papers in the tracked journals link to the Kaggle dataset balraj98/cvcclinicdb in their Crossref records, the first in 2023; most of them (1) in 2026.
By category: AI (4); the journals with the most are Cognitive Computation (2), Knowledge-Based Systems (1) and Neural Computing and Applications (1).

By year#

20232026

Papers linking to balraj98/cvcclinicdb by publication year
Year	Papers
2023	1
2024	1
2025	1
2026	1

Journals#

Journals whose papers link to balraj98/cvcclinicdb most
Journal	Papers
Cognitive Computation	2
Knowledge-Based Systems	1
Neural Computing and Applications	1

Papers linking to balraj98/cvcclinicdb, most cited first
Published	Title	Journal	Authors	Citations	Link
2026-03-21	MedAugment: Universal automatic data augmentation plug-in for medical image analysis	Knowledge-Based Systems	Zhaoshan Liu, Qiujie Lv, Yifan Li et al.	16	cites it
2023-07-22	An advanced diagnostic ColoRectalCADx utilises CNN and unsupervised visual explanations to discover malignancies	Neural Computing and Applications	Akella S. Narasimha Raju, Kayalvizhi Jayavel, Thulasi Rajalakshmi	12	cites it
2024-11-27	CRCFusionAICADx: Integrative CNN-LSTM Approach for Accurate Colorectal Cancer Diagnosis in Colonoscopy Images	Cognitive Computation	Akella S. Narasimha Raju, Kayalvizhi Jayavel, Thulasi Rajalakshmi et al.	8	cites it
2025-03-21	Medivision: Empowering Colorectal Cancer Diagnosis and Tumor Localization Through Supervised Learning Classifications and Grad-CAM Visualization of Medical Colonoscopy Images	Cognitive Computation	Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla et al.	4	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). balraj98/cvcclinicdb: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-balraj98-cvcclinicdb

@misc{scholar4ai-code-kaggle-balraj98-cvcclinicdb,
  author = {{Scholar4AI}},
  title = {balraj98/cvcclinicdb: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-balraj98-cvcclinicdb}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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